Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	20ff
id	20ff
authors	Derix, Christian
year	2004
title	Building a Synthetic Cognizer
source	Design Computation Cognition conference 2004, MIT
summary	Understanding ‘space’ as a structured and dynamic system can provide us with insight into the central concept in the architectural discourse that so far has proven to withstand theoretical framing (McLuhan 1964). The basis for this theoretical assumption is that space is not a void left by solid matter but instead an emergent quality of action and interaction between individuals and groups with a physical environment (Hillier 1996). In this way it can be described as a parallel distributed system, a self-organising entity. Extrapolating from Luhmann’s theory of social systems (Luhmann 1984), a spatial system is autonomous from its progenitors, people, but remains intangible to a human observer due to its abstract nature and therefore has to be analysed by computed entities, synthetic cognisers, with the capacity to perceive. This poster shows an attempt to use another complex system, a distributed connected algorithm based on Kohonen’s self-organising feature maps – SOM (Kohonen 1997), as a “perceptual aid” for creating geometric mappings of these spatial systems that will shed light on our understanding of space by not representing space through our usual mechanics but by constructing artificial spatial cognisers with abilities to make spatial representations of their own. This allows us to be shown novel representations that can help us to see new differences and similarities in spatial configurations.
keywords	architectural design, neural networks, cognition, representation
series	other
type	poster
email
more	http://www.springer.com/computer/ai/book/978-1-4020-2392-7
last changed	2012/09/17 21:13

_id	c14d
authors	Silva, Neander
year	1997
title	Artificial Intelligence and 3D Modelling Exploration: An Integrated Digital Design Studio
source	Challenges of the Future [15th eCAADe Conference Proceedings / ISBN 0-9523687-3-0] Vienna (Austria) 17-20 September 1997
doi	https://doi.org/10.52842/conf.ecaade.1997.x.l5p
summary	This paper describes a CAAD teaching strategy in which some Artificial Intelligence techniques are integrated with 3D modelling exploration. The main objective is to lead the students towards "repertoire" acquisition and creative exploration of design alternatives. This strategy is based on dialogue emulation, graphic precedent libraries, and 3D modelling as a medium of design study. The course syllabus is developed in two parts: a first stage in which the students interact with an intelligent interface that emulates a dialogue. This interface produces advice composed of either precedents or possible new solutions. Textual descriptions of precedents are coupled with graphical illustrations and textual descriptions of possible new solutions are coupled with sets of 3D components. The second and final stage of the course is based on 3D modelling, not simply as a means of presentation, but as a design study medium. The students are then encouraged to get the system’s output from the first stage of the course and explore it graphically. This is done through an environment in which modelling in 3D is straightforward allowing the focus to be placed on design exploration rather than simply on design presentation. The students go back to the first stage for further advice depending on the results achieved in the second stage. This cycle is repeated until the design solution receives a satisfactory assessment.
keywords	Education, Design Process, Interfaces, Neural Networks, 3D Modelling
series	eCAADe
email
more	http://info.tuwien.ac.at/ecaade/proc/silva/silva.htm
last changed	2022/06/07 07:50

_id	ga0026
id	ga0026
authors	Ransen, Owen F.
year	2000
title	Possible Futures in Computer Art Generation
source	International Conference on Generative Art
summary	Years of trying to create an "Image Idea Generator" program have convinced me that the perfect solution would be to have an artificial artistic person, a design slave. This paper describes how I came to that conclusion, realistic alternatives, and briefly, how it could possibly happen. 1. The history of Repligator and Gliftic 1.1 Repligator In 1996 I had the idea of creating an “image idea generator”. I wanted something which would create images out of nothing, but guided by the user. The biggest conceptual problem I had was “out of nothing”. What does that mean? So I put aside that problem and forced the user to give the program a starting image. This program eventually turned into Repligator, commercially described as an “easy to use graphical effects program”, but actually, to my mind, an Image Idea Generator. The first release came out in October 1997. In December 1998 I described Repligator V4 [1] and how I thought it could be developed away from simply being an effects program. In July 1999 Repligator V4 won the Shareware Industry Awards Foundation prize for "Best Graphics Program of 1999". Prize winners are never told why they won, but I am sure that it was because of two things: 1) Easy of use 2) Ease of experimentation "Ease of experimentation" means that Repligator does in fact come up with new graphics ideas. Once you have input your original image you can generate new versions of that image simply by pushing a single key. Repligator is currently at version 6, but, apart from adding many new effects and a few new features, is basically the same program as version 4. Following on from the ideas in [1] I started to develop Gliftic, which is closer to my original thoughts of an image idea generator which "starts from nothing". The Gliftic model of images was that they are composed of three components: 1. Layout or form, for example the outline of a mandala is a form. 2. Color scheme, for example colors selected from autumn leaves from an oak tree. 3. Interpretation, for example Van Gogh would paint a mandala with oak tree colors in a different way to Andy Warhol. There is a Van Gogh interpretation and an Andy Warhol interpretation. Further I wanted to be able to genetically breed images, for example crossing two layouts to produce a child layout. And the same with interpretations and color schemes. If I could achieve this then the program would be very powerful. 1.2 Getting to Gliftic Programming has an amazing way of crystalising ideas. If you want to put an idea into practice via a computer program you really have to understand the idea not only globally, but just as importantly, in detail. You have to make hard design decisions, there can be no vagueness, and so implementing what I had decribed above turned out to be a considerable challenge. I soon found out that the hardest thing to do would be the breeding of forms. What are the "genes" of a form? What are the genes of a circle, say, and how do they compare to the genes of the outline of the UK? I wanted the genotype representation (inside the computer program's data) to be directly linked to the phenotype representation (on the computer screen). This seemed to be the best way of making sure that bred-forms would bare some visual relationship to their parents. I also wanted symmetry to be preserved. For example if two symmetrical objects were bred then their children should be symmetrical. I decided to represent shapes as simply closed polygonal shapes, and the "genes" of these shapes were simply the list of points defining the polygon. Thus a circle would have to be represented by a regular polygon of, say, 100 sides. The outline of the UK could easily be represented as a list of points every 10 Kilometers along the coast line. Now for the important question: what do you get when you cross a circle with the outline of the UK? I tried various ways of combining the "genes" (i.e. coordinates) of the shapes, but none of them really ended up producing interesting shapes. And of the methods I used, many of them, applied over several "generations" simply resulted in amorphous blobs, with no distinct family characteristics. Or rather maybe I should say that no single method of breeding shapes gave decent results for all types of images. Figure 1 shows an example of breeding a mandala with 6 regular polygons: Figure 1 Mandala bred with array of regular polygons I did not try out all my ideas, and maybe in the future I will return to the problem, but it was clear to me that it is a non-trivial problem. And if the breeding of shapes is a non-trivial problem, then what about the breeding of interpretations? I abandoned the genetic (breeding) model of generating designs but retained the idea of the three components (form, color scheme, interpretation). 1.3 Gliftic today Gliftic Version 1.0 was released in May 2000. It allows the user to change a form, a color scheme and an interpretation. The user can experiment with combining different components together and can thus home in on an personally pleasing image. Just as in Repligator, pushing the F7 key make the program choose all the options. Unlike Repligator however the user can also easily experiment with the form (only) by pushing F4, the color scheme (only) by pushing F5 and the interpretation (only) by pushing F6. Figures 2, 3 and 4 show some example images created by Gliftic. Figure 2 Mandala interpreted with arabesques Figure 3 Trellis interpreted with "graphic ivy" Figure 4 Regular dots interpreted as "sparks" 1.4 Forms in Gliftic V1 Forms are simply collections of graphics primitives (points, lines, ellipses and polygons). The program generates these collections according to the user's instructions. Currently the forms are: Mandala, Regular Polygon, Random Dots, Random Sticks, Random Shapes, Grid Of Polygons, Trellis, Flying Leap, Sticks And Waves, Spoked Wheel, Biological Growth, Chequer Squares, Regular Dots, Single Line, Paisley, Random Circles, Chevrons. 1.5 Color Schemes in Gliftic V1 When combining a form with an interpretation (described later) the program needs to know what colors it can use. The range of colors is called a color scheme. Gliftic has three color scheme types: 1. Random colors: Colors for the various parts of the image are chosen purely at random. 2. Hue Saturation Value (HSV) colors: The user can choose the main hue (e.g. red or yellow), the saturation (purity) of the color scheme and the value (brightness/darkness) . The user also has to choose how much variation is allowed in the color scheme. A wide variation allows the various colors of the final image to depart a long way from the HSV settings. A smaller variation results in the final image using almost a single color. 3. Colors chosen from an image: The user can choose an image (for example a JPG file of a famous painting, or a digital photograph he took while on holiday in Greece) and Gliftic will select colors from that image. Only colors from the selected image will appear in the output image. 1.6 Interpretations in Gliftic V1 Interpretation in Gliftic is best decribed with a few examples. A pure geometric line could be interpreted as: 1) the branch of a tree 2) a long thin arabesque 3) a sequence of disks 4) a chain, 5) a row of diamonds. An pure geometric ellipse could be interpreted as 1) a lake, 2) a planet, 3) an eye. Gliftic V1 has the following interpretations: Standard, Circles, Flying Leap, Graphic Ivy, Diamond Bar, Sparkz, Ess Disk, Ribbons, George Haite, Arabesque, ZigZag. 1.7 Applications of Gliftic Currently Gliftic is mostly used for creating WEB graphics, often backgrounds as it has an option to enable "tiling" of the generated images. There is also a possibility that it will be used in the custom textile business sometime within the next year or two. The real application of Gliftic is that of generating new graphics ideas, and I suspect that, like Repligator, many users will only understand this later. 2. The future of Gliftic, 3 possibilties Completing Gliftic V1 gave me the experience to understand what problems and opportunities there will be in future development of the program. Here I divide my many ideas into three oversimplified possibilities, and the real result may be a mix of two or all three of them. 2.1 Continue the current development "linearly" Gliftic could grow simply by the addition of more forms and interpretations. In fact I am sure that initially it will grow like this. However this limits the possibilities to what is inside the program itself. These limits can be mitigated by allowing the user to add forms (as vector files). The user can already add color schemes (as images). The biggest problem with leaving the program in its current state is that there is no easy way to add interpretations. 2.2 Allow the artist to program Gliftic It would be interesting to add a language to Gliftic which allows the user to program his own form generators and interpreters. In this way Gliftic becomes a "platform" for the development of dynamic graphics styles by the artist. The advantage of not having to deal with the complexities of Windows programming could attract the more adventurous artists and designers. The choice of programming language of course needs to take into account the fact that the "programmer" is probably not be an expert computer scientist. I have seen how LISP (an not exactly easy artificial intelligence language) has become very popular among non programming users of AutoCAD. If, to complete a job which you do manually and repeatedly, you can write a LISP macro of only 5 lines, then you may be tempted to learn enough LISP to write those 5 lines. Imagine also the ability to publish (and/or sell) "style generators". An artist could develop a particular interpretation function, it creates images of a given character which others find appealing. The interpretation (which runs inside Gliftic as a routine) could be offered to interior designers (for example) to unify carpets, wallpaper, furniture coverings for single projects. As Adrian Ward [3] says on his WEB site: "Programming is no less an artform than painting is a technical process." Learning a computer language to create a single image is overkill and impractical. Learning a computer language to create your own artistic style which generates an infinite series of images in that style may well be attractive. 2.3 Add an artificial conciousness to Gliftic This is a wild science fiction idea which comes into my head regularly. Gliftic manages to surprise the users with the images it makes, but, currently, is limited by what gets programmed into it or by pure chance. How about adding a real artifical conciousness to the program? Creating an intelligent artificial designer? According to Igor Aleksander [1] conciousness is required for programs (computers) to really become usefully intelligent. Aleksander thinks that "the line has been drawn under the philosophical discussion of conciousness, and the way is open to sound scientific investigation". Without going into the details, and with great over-simplification, there are roughly two sorts of artificial intelligence: 1) Programmed intelligence, where, to all intents and purposes, the programmer is the "intelligence". The program may perform well (but often, in practice, doesn't) and any learning which is done is simply statistical and pre-programmed. There is no way that this type of program could become concious. 2) Neural network intelligence, where the programs are based roughly on a simple model of the brain, and the network learns how to do specific tasks. It is this sort of program which, according to Aleksander, could, in the future, become concious, and thus usefully intelligent. What could the advantages of an artificial artist be? 1) There would be no need for programming. Presumbably the human artist would dialog with the artificial artist, directing its development. 2) The artificial artist could be used as an apprentice, doing the "drudge" work of art, which needs intelligence, but is, anyway, monotonous for the human artist. 3) The human artist imagines "concepts", the artificial artist makes them concrete. 4) An concious artificial artist may come up with ideas of its own. Is this science fiction? Arthur C. Clarke's 1st Law: "If a famous scientist says that something can be done, then he is in all probability correct. If a famous scientist says that something cannot be done, then he is in all probability wrong". Arthur C Clarke's 2nd Law: "Only by trying to go beyond the current limits can you find out what the real limits are." One of Bertrand Russell's 10 commandments: "Do not fear to be eccentric in opinion, for every opinion now accepted was once eccentric" 3. References 1. "From Ramon Llull to Image Idea Generation". Ransen, Owen. Proceedings of the 1998 Milan First International Conference on Generative Art. 2. "How To Build A Mind" Aleksander, Igor. Wiedenfeld and Nicolson, 1999 3. "How I Drew One of My Pictures: or, The Authorship of Generative Art" by Adrian Ward and Geof Cox. Proceedings of the 1999 Milan 2nd International Conference on Generative Art.
series	other
email
more	http://www.generativeart.com/
last changed	2003/08/07 17:25

_id	fe7f
authors	Schofield, A.J., Stonham, T.J. and Mehta, P.A.
year	1997
title	Automated people counting to aid lift control
source	Automation in Construction 6 (5-6) (1997) pp. 437-445
summary	It has been suggested that the efficiency of elevator systems could be improved if lift controllers had access to accurate counts of the number of passengers waiting at each floor. Video cameras and image processing techniques represent a convenient and non-intrusive solution to the people counting problem and can produce reasonably accurate counts for moderate cost. This paper addresses the problem of people counting using video techniques not the problem of lift control. For a video based counting system to be of use it must distinguish people from other (background) objects in the field of view; the principle difficulty being due to variations in the background scene caused by changes in lighting and the movement of objects. The system discussed here uses neural networks to distinguish between parts of the background scene and non-background objects (people). This system is able to form a compact representation of multiple background images and hence deal with variations in the scene under analysis without requiring large amounts of memory or processing time.
series	journal paper
more	http://www.elsevier.com/locate/autcon
last changed	2003/05/15 21:23

_id	ecac
authors	Silva, Neander F. and Bridges, Alan H.
year	1997
title	Human-Computer Interaction and Neural Networks in Architectural Design - A Tool for Design Exploration
source	CAAD Futures 1997 [Conference Proceedings / ISBN 0-7923-4726-9] München (Germany), 4-6 August 1997, pp. 267-284
summary	Design research has demonstrated that neural networks are able to support creativity. However, there are two main problems with using neural networks in design. One is how you interact with such systems. The second relates to the integration between neural network techniques and other approaches. This paper will describe an integrated model in which those problems are addressed. The resulting system provides an interface in which the neural network output is translated into textual and graphic representations that can play a meaningful role in the design process.
series	CAAD Futures
email
last changed	1999/04/06 09:19

_id	5fc6
authors	Yeh, I.
year	1997
title	Application of neural networks to automatic soil pressure balance control for shield tunneling
source	Automation in Construction 5 (5) (1997) pp. 421-426
summary	In this paper, a shield control system software to balance soil pressure on the shield cutting face is described. This software, which adjusts the speed of the shield jack and the speed of the screw conveyor, is based on a neural network. The basic structure of the control system software consists of a modeling mechanism and a control mechanism. The modeling mechanism of this sytem has a learning function based on a back-propagation neural network to model the mechanism of the soil pressure in the soil room of the shield. The learning function renews the model in accordance with the historical records of shield operation. The control mechanism of this system has a searching function to find the optimal value of the desired speed of the shield jack and the screw conveyor to reach the desired soil pressure. This system has been tested on a tunneling project in Taipei City. The results showed that the control method of this system is very effective as a means of controlling the shield in various start states.
series	journal paper
more	http://www.elsevier.com/locate/autcon
last changed	2003/05/15 21:23

_id	83a5
authors	Bock, Thomas
year	1997
title	CAD-So What?
source	CAAD Futures 1997 [Conference Proceedings / ISBN 0-7923-4726-9] München (Germany), 4-6 August 1997, pp. 15-43
summary	Computers were applied in construction towards the end of the 50s. In the meantime CA-X technologies rapidly evolved in areas such as integration of application software, 3D modelling and simulation, multimedia systems, artificial intelligence, CAD/CAM, robotics, and computer-based integration of design, construction and facility management. The structural changes under way in the construction industry ask for a transition from mere CAD, where "D" stands for design and drafting, towards CAC, where the second "C" represents construction , thus farther processing the previously generated CAD data .
series	CAAD Futures
email
last changed	2003/11/21 15:16

_id	cabb
authors	Broughton, T., Tan, A. and Coates, P.S.
year	1997
title	The Use of Genetic Programming In Exploring 3D Design Worlds - A Report of Two Projects by Msc Students at CECA UEL
source	CAAD Futures 1997 [Conference Proceedings / ISBN 0-7923-4726-9] München (Germany), 4-6 August 1997, pp. 885-915
summary	Genetic algorithms are used to evolve rule systems for a generative process, in one case a shape grammar,which uses the "Dawkins Biomorph" paradigm of user driven choices to perform artificial selection, in the other a CA/Lindenmeyer system using the Hausdorff dimension of the resultant configuration to drive natural selection. (1) Using Genetic Programming in an interactive 3D shape grammar. A report of a generative system combining genetic programming (GP) and 3D shape grammars. The reasoning that backs up the basis for this work depends on the interpretation of design as search In this system, a 3D form is a computer program made up of functions (transformations) & terminals (building blocks). Each program evaluates into a structure. Hence, in this instance a program is synonymous with form. Building blocks of form are platonic solids (box, cylinder, etc.). A Variety of combinations of the simple affine transformations of translation, scaling, rotation together with Boolean operations of union, subtraction and intersection performed on the building blocks generate different configurations of 3D forms. Using to the methodology of genetic programming, an initial population of such programs are randomly generated,subjected to a test for fitness (the eyeball test). Individual programs that have passed the test are selected to be parents for reproducing the next generation of programs via the process of recombination. (2) Using a GA to evolve rule sets to achieve a goal configuration. The aim of these experiments was to build a framework in which a structure's form could be defined by a set of instructions encoded into its genetic make-up. This was achieved by combining a generative rule system commonly used to model biological growth with a genetic algorithm simulating the evolutionary process of selection to evolve an adaptive rule system capable of replicating any preselected 3D shape. The generative modelling technique used is a string rewriting Lindenmayer system the genes of the emergent structures are the production rules of the L-system, and the spatial representation of the structures uses the geometry of iso-spatial dense-packed spheres
series	CAAD Futures
email
last changed	2003/11/21 15:16

_id	d60a
authors	Casti, J.C.
year	1997
title	Would be Worlds: How simulation is changing the frontiers of science
source	John Wiley & Sons, Inc., New York.
summary	Five Golden Rules is caviar for the inquiring reader. Anyone who enjoyed solving math problems in high school will be able to follow the author's explanations, even if high school was a long time ago. There is joy here in watching the unfolding of these intricate and beautiful techniques. Casti's gift is to be able to let the nonmathematical reader share in his understanding of the beauty of a good theory.-Christian Science Monitor "[Five Golden Rules] ranges into exotic fields such as game theory (which played a role in the Cuban Missile Crisis) and topology (which explains how to turn a doughnut into a coffee cup, or vice versa). If you'd like to have fun while giving your brain a first-class workout, then check this book out."-San Francisco Examiner "Unlike many popularizations, [this book] is more than a tour d'horizon: it has the power to change the way you think. Merely knowing about the existence of some of these golden rules may spark new, interesting-maybe even revolutionary-ideas in your mind. And what more could you ask from a book?"-New Scientist "This book has meat! It is solid fare, food for thought . . . makes math less forbidding, and much more interesting."-Ben Bova, The Hartford Courant "This book turns math into beauty."-Colorado Daily "John Casti is one of the great science writers of the 1990s."-San Francisco Examiner In the ever-changing world of science, new instruments often lead to momentous discoveries that dramatically transform our understanding. Today, with the aid of a bold new instrument, scientists are embarking on a scientific revolution as profound as that inspired by Galileo's telescope. Out of the bits and bytes of computer memory, researchers are fashioning silicon surrogates of the real world-elaborate "artificial worlds"-that allow them to perform experiments that are too impractical, too costly, or, in some cases, too dangerous to do "in the flesh." From simulated tests of new drugs to models of the birth of planetary systems and galaxies to computerized petri dishes growing digital life forms, these laboratories of the future are the essential tools of a controversial new scientific method. This new method is founded not on direct observation and experiment but on the mapping of the universe from real space into cyberspace. There is a whole new science happening here-the science of simulation. The most exciting territory being mapped by artificial worlds is the exotic new frontier of "complex, adaptive systems." These systems involve living "agents" that continuously change their behavior in ways that make prediction and measurement by the old rules of science impossible-from environmental ecosystems to the system of a marketplace economy. Their exploration represents the horizon for discovery in the twenty-first century, and simulated worlds are charting the course. In Would-Be Worlds, acclaimed author John Casti takes readers on a fascinating excursion through a number of remarkable silicon microworlds and shows us how they are being used to formulate important new theories and to solve a host of practical problems. We visit Tierra, a "computerized terrarium" in which artificial life forms known as biomorphs grow and mutate, revealing new insights into natural selection and evolution. We play a game of Balance of Power, a simulation of the complex forces shaping geopolitics. And we take a drive through TRANSIMS, a model of the city of Albuquerque, New Mexico, to discover the root causes of events like traffic jams and accidents. Along the way, Casti probes the answers to a host of profound questions these "would-be worlds" raise about the new science of simulation. If we can create worlds inside our computers at will, how real can we say they are? Will they unlock the most intractable secrets of our universe? Or will they reveal instead only the laws of an alternate reality? How "real" do these models need to be? And how real can they be? The answers to these questions are likely to change the face of scientific research forever.
series	other
last changed	2003/04/23 15:14

_id	7ebf
authors	Clark, G. and Mehta, P.
year	1997
title	Artificial intelligence and networking in integrated building management systems
source	Automation in Construction 6 (5-6) (1997) pp. 481-498
summary	In recent years the emphasis has moved towards integrating all a building's systems via centralised building management systems (BMS). To provide a more intelligent approach to the facility management, safety and energy control in building management systems (IBMS), this paper proposes a methodology for integrating the data within a BMS via a single multi-media networking technology and providing the BMS with artificial intelligence (AI) through the use of knowledge-based systems (KBS) technology. By means of artificial intelligence, the system is capable of assessing, diagnosing and suggesting the best solution. This paper outlines how AI techniques can enhance the control of HVAC systems for occupant comfort and efficient running costs based on occupancy prediction. Also load control and load balancing are investigated. Instead of just using pre-programmed load priorities, this work has investigated the use of a dynamic system of priorities which are based on many factors such as area usage, occupancy, time of day and real time environmental conditions. This control strategy which is based on a set of rules running on the central control system, makes use of information gathered from outstations throughout the building and communicated via the building's data-bus.
series	journal paper
more	http://www.elsevier.com/locate/autcon
last changed	2003/05/15 21:22

_id	ga9921
id	ga9921
authors	Coates, P.S. and Hazarika, L.
year	1999
title	The use of genetic programming for applications in the field of spatial composition
source	International Conference on Generative Art
summary	Architectural design teaching using computers has been a preoccupation of CECA since 1991. All design tutors provide their students with a set of models and ways to form, and we have explored a set of approaches including cellular automata, genetic programming ,agent based modelling and shape grammars as additional tools with which to explore architectural ( and architectonic) ideas.This paper discusses the use of genetic programming (G.P.) for applications in the field of spatial composition. CECA has been developing the use of Genetic Programming for some time ( see references ) and has covered the evolution of L-Systems production rules( coates 1997, 1999b), and the evolution of generative grammars of form (Coates 1998 1999a). The G.P. was used to generate three-dimensional spatial forms from a set of geometrical structures .The approach uses genetic programming with a Genetic Library (G.Lib) .G.P. provides a way to genetically breed a computer program to solve a problem.G. Lib. enables genetic programming to define potentially useful subroutines dynamically during a run .* Exploring a shape grammar consisting of simple solid primitives and transformations. * Applying a simple fitness function to the solid breeding G.P.* Exploring a shape grammar of composite surface objects. * Developing grammarsfor existing buildings, and creating hybrids. * Exploring the shape grammar of abuilding within a G.P.We will report on new work using a range of different morphologies ( boolean operations, surface operations and grammars of style ) and describe the use of objective functions ( natural selection) and the "eyeball test" ( artificial selection) as ways of controlling and exploring the design spaces thus defined.
series	other
more	http://www.generativeart.com/
last changed	2003/08/07 17:25

_id	f5ee
authors	Erhorn, H., De Boer, J. and Dirksmueller, M.
year	1997
title	ADELINE, an Integrated Approach to Lighting Simulation
source	Proceedings of Right Light 4, 4th European Conference on Energy-Efficient Lighting, pp.99-103
summary	The use of daylighting and artificial lighting simulation programs to calculate complex systems and models in the design practice often is impeded by the fact that the operation of these programs, especially the model input, is extremely complicated and time-consuming. Programs that are easier to use generally do not show the calculation capabilities required in practice. A second obstacle arises as the lighting calculations often do not allow any statements regarding the interactions with the energetic and thermal building performance. Both problems are mainly due to a lacking integration of the design tools of other building design practitioners as well as due to insufficient user interfaces. The program package ADELINE (Advanced Daylight and Electric Lighting Integrated New Environment) being available since May 1996 as completely revised version 2.0 presents a promising approach to solve these problems. This contribution describes the approaches and methods used within the international project IEA Task 21 for a further development of the ADELINE system. Aim of this work is a further improvement of user interfaces based on the inclusion of new dialogs and on a portation of the program system from MS-DOS to the Windows NT platform. Additional focus is laid on the use of recent developments in the field of information technology and experiences gained in other projects on integrated building design systems, like for example EU-COMBINE, in a pragmatical way. An integrated building design system with open standardized interfaces is to be achieved inter alia by using ISOSTEP formats, database technologies and a consequent, object-oriented design.
series	other
last changed	2003/04/23 15:50

_id	2483
authors	Gero, J.S. and Kazakov, V.
year	1997
title	Learning and reusing information in space layout problems using genetic engineering
source	Artificial Intelligence in Engineering 11(3):329-334
summary	The paper describes the application of a genetic engineering based extension to genetic algorithms to the layout planning problem. We study the gene evolution which takes place when an algorithm of this type is running and demonstrate that in many cases it effectively leads to the partial decomposition of the layout problem by grouping some activit ies together and optimally placing these groups during the first stage of the computation. At a second stage it optimally places activities within these groups. We show that the algorithm finnds the solution faster than standard evolutionary methods and that evolved genes represent design features that can be re-used later in a range of similar problems.
keywords	Genetic Engineering, Learning
series	other
email
last changed	2001/09/08 12:04

_id	acadia18_226
id	acadia18_226
authors	Glynn, Ruairi; Abramovic, Vasilija; Overvelde, Johannes T. B.
year	2018
title	Edge of Chaos. Towards intelligent architecture through distributed control systems based on Cellular Automata.
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 226-231
doi	https://doi.org/10.52842/conf.acadia.2018.226
summary	From the “Edge of Chaos”, a mathematical space discovered by computer scientist Christopher Langton (1997), compelling behaviors originate that exhibit both degrees of organization and instability creating a continuous dance between order and chaos. This paper presents a project intended to make this complex theory tangible through an interactive installation based on metamaterial research which demonstrates emergent behavior using Cellular Automata (CA) techniques, illustrated through sound, light and motion. We present a multi-sensory narrative approach that encourages playful exploration and contemplation on perhaps the biggest questions of how life could emerge from the disorder of the universe. We argue a way of creating intelligent architecture, not through classical Artificial Intelligence (AI), but rather through Artificial Life (ALife), embracing the aesthetic emergent possibilities that can spontaneously arise from this approach. In order to make these ideas of emergent life more tangible we present this paper in four integrated parts, namely: narrative, material, hardware and computation. The Edge of Chaos installation is an explicit realization of creating emergent systems and translating them into an architectural design. Our results demonstrate the effectiveness of a custom CA for maximizing aesthetic impact while minimizing the live time of architectural kinetic elements.
keywords	work in progress, complexity, responsive architecture, distributed computing, emergence, installation, interactive architecture, cellular automata
series	ACADIA
type	paper
email
last changed	2022/06/07 07:51

_id	02e4
authors	Groh, Paul H.
year	1997
title	Computer Visualization as a Tool for the Conceptual Understanding of Architecture
source	Design and Representation [ACADIA ‘97 Conference Proceedings / ISBN 1-880250-06-3] Cincinatti, Ohio (USA) 3-5 October 1997, pp. 243-248
doi	https://doi.org/10.52842/conf.acadia.1997.243
summary	A good piece of architecture contains many levels of interrelated complexity. Understanding these levels and their interrelationship is critical to the understanding of a building to both architects and non-architects alike. A building's form, function, structure, materials, and details all relate to and impact one another. By selectively dissecting and taking apart buildings through their representations, one can carefully examine and understand the interrelationship of these building components. With the recent introduction of computer graphics, much attention has been given to the representation of architecture. Floor plans and elevations have remained relatively unchanged, while digital animation and photorealistic renderings have become exciting new means of representation. A problem with the majority of this work and especially photorealistic rendering is that it represents the building as a image and concentrates on how a building looks as opposed to how it works. Often times this "look" is artificial, expressing the incapacity of programs (or their users) to represent the complexities of materials, lighting, and perspective. By using digital representation in a descriptive, less realistic way, one can explore the rich complexities and interrelationships of architecture. Instead of representing architecture as a finished product, it is possible to represent the ideas and concepts of the project.
series	ACADIA
email
last changed	2022/06/07 07:51

_id	78c4
authors	Hunhammar, M.
year	1997
title	The development of IT-supported residential services: a conceptual model of influences and constraints
source	Automation in Construction 6 (5-6) (1997) pp. 499-510
summary	An understanding of the potential and the complexity of IT-supported residential services is essential in order to realize it, especially if one will foresee some of its implications, such as constraints by and influences on the institutions, the markets and the power structure in society. Since our society appears to us as mainly artificial, the creation of IT-supported residential services can be seen as a matter of design. Design in that sense to study how things ought to be and not how they are. The paper describes a conceptual model, and the methodology behind it, of the complex domain of IT-supported service infrastructures for residential living. The model indicates how the residents and the institutions, such as the municipalities, the housing companies, the service providers and the IT-industry, will sanction, prevent or modify the market of residential services.
series	journal paper
more	http://www.elsevier.com/locate/autcon
last changed	2003/05/15 21:22

_id	01f7
authors	Krause, Jeffrey
year	1997
title	Agent Generated Architecture
source	Design and Representation [ACADIA ‘97 Conference Proceedings / ISBN 1-880250-06-3] Cincinatti, Ohio (USA) 3-5 October 1997, pp. 63-70
doi	https://doi.org/10.52842/conf.acadia.1997.063
summary	This paper will describe a behavior based artificial intelligence experiment in computer generated architectural design and will explain the internal representations and procedures of an agent based autonomous system. This is a departure from traditional (AI and architectural) top-down approaches, allowing hundreds of agents to work simultaneously—building, manipulating, and dismantling their environment. Individual agents work in collaboration, in disjunction or autonomously. Architectural design is perhaps most commonly described by the architect as consisting of the ability to see the whole picture, to organize, to collect, to juggle, to manage, and to maintain multiple conflicting goals and values. Architecture by the preceding definition is hierarchical and top-down in nature. The agent based experiment in this paper presents an alternative design process, involving multiple autonomous agents acting distributively. The agents (objects) move through the design landscape, simultaneously collaborating, building, degenerating, and transforming their world.
series	ACADIA
email
last changed	2022/06/07 07:51

_id	cf2011_p016
id	cf2011_p016
authors	Merrick, Kathryn; Gu Ning
year	2011
title	Supporting Collective Intelligence for Design in Virtual Worlds: A Case Study of the Lego Universe
source	Computer Aided Architectural Design Futures 2011 [Proceedings of the 14th International Conference on Computer Aided Architectural Design Futures / ISBN 9782874561429] Liege (Belgium) 4-8 July 2011, pp. 637-652.
summary	Virtual worlds are multi-faceted technologies. Facets of virtual worlds include graphical simulation tools, communication, design and modelling tools, artificial intelligence, network structure, persistent object-oriented infrastructure, economy, governance and user presence and interaction. Recent studies (Merrick et al., 2010) and applications (Rosenman et al., 2006; Maher et al., 2006) have shown that the combination of design, modelling and communication tools, and artificial intelligence in virtual worlds makes them suitable platforms for supporting collaborative design, including human-human collaboration and human-computer co-creativity. Virtual worlds are also coming to be recognised as a platform for collective intelligence (Levy, 1997), a form of group intelligence that emerges from collaboration and competition among large numbers of individuals. Because of the close relationship between design, communication and virtual world technologies, there appears a strong possibility of using virtual worlds to harness collective intelligence for supporting upcoming ‚Äúdesign challenges on a much larger scale as we become an increasingly global and technological society‚Äù (Maher et al, 2010), beyond the current support for small-scale collaborative design teams. Collaborative design is relatively well studied and is characterised by small-scale, carefully structured design teams, usually comprising design professionals with a good understanding of the design task at hand. All team members are generally motivated and have the skills required to structure the shared solution space and to complete the design task. In contrast, collective design (Maher et al, 2010) is characterised by a very large number of participants ranging from professional designers to design novices, who may need to be motivated to participate, whose contributions may not be directly utilised for design purposes, and who may need to learn some or all of the skills required to complete the task. Thus the facets of virtual worlds required to support collective design differ from those required to support collaborative design. Specifically, in addition to design, communication and artificial intelligence tools, various interpretive, mapping and educational tools together with appropriate motivational and reward systems may be required to inform, teach and motivate virtual world users to contribute and direct their inputs to desired design purposes. Many of these world facets are well understood by computer game developers, as level systems, quests or plot and achievement/reward systems. This suggests the possibility of drawing on or adapting computer gaming technologies as a basis for harnessing collective intelligence in design. Existing virtual worlds that permit open-ended design ‚Äì such as Second Life and There ‚Äì are not specifically game worlds as they do not have extensive level, quest and reward systems in the same way as game worlds like World of Warcraft or Ultima Online. As such, while Second Life and There demonstrate emergent design, they do not have the game-specific facets that focus users towards solving specific problems required for harnessing collective intelligence. However, a new massively multiplayer virtual world is soon to be released that combines open-ended design tools with levels, quests and achievement systems. This world is called Lego Universe (www.legouniverse.com). This paper presents technology spaces for the facets of virtual worlds that can contribute to the support of collective intelligence in design, including design and modelling tools, communication tools, artificial intelligence, level system, motivation, governance and other related facets. We discuss how these facets support the design, communication, motivational and educational requirements of collective intelligence applications. The paper concludes with a case study of Lego Universe, with reference to the technology spaces defined above. We evaluate the potential of this or similar tools to move design beyond the individual and small-scale design teams to harness large-scale collective intelligence. We also consider the types of design tasks that might best be addressed in this manner.
keywords	collective intelligence, collective design, virtual worlds, computer games
series	CAAD Futures
email
last changed	2012/02/11 19:21

_id	4cce
authors	Monedero, Javier
year	1997
title	Parametric Design. A Review and Some Experiences
source	Challenges of the Future [15th eCAADe Conference Proceedings / ISBN 0-9523687-3-0] Vienna (Austria) 17-20 September 1997
doi	https://doi.org/10.52842/conf.ecaade.1997.x.q8p
summary	During the last few years there has been an extraordinary development of computer aided tools intended to present or communicate the results of architectural projects. But there has not been a comparable progress in the development of tools intended to assist design to generate architectural forms in an easy and interactive way. Even worst, architects who use the powerful means provided by computers, as a direct tool to create architectural forms are still an exception. Architecture continues to be produced by traditional means using the computer as little more than a drafting tool. The main reasons that may explain this situation can be identified rather easily, although there will be significant differences of opinion. Mine is that it is a mistake trying to advance too rapidly and, for instance, propose integrated design methods using expert systems and artificial intelligence resources when do not have still an adequate tool to generate and modify simple 3D models. The modelling tools we have at the present moment are clearly unsatisfactory. Their principal limitation is the lack of appropriate instruments to modify interactively the model once it has been created. This is a fundamental aspect in any design activity, where the designer is constantly going forward and backwards, reelaborating once and again some particular aspect of the model, or its general layout, or even coming back to a previous solution that had been temporarily abandoned.
keywords	Parametric Design
series	eCAADe
email
more	http://info.tuwien.ac.at/ecaade/proc/moneder/moneder.htm
last changed	2022/06/07 07:50

_id	cc51
authors	Schnier, T. and Gero, J.S
year	1997
title	Dominant and recessive genes in evolutionary systems applied to spatial reasoning
source	A. Sattar (Ed.), Advanced Topics in Artificial Intelligence: 10th Australian Joint Conference on Artificial Intelligence AI97 Proceedings, Springer, Heidelberg, pp. 127-136
summary	Learning genetic representation has been shown to be a useful tool in evolutionary computation. It can reduce the time required to find solutions and it allows the search process to be biased towards more desirable solutions. Learn-ing genetic representation involves the bottom-up creation of evolved genes from either original (basic) genes or from other evolved genes and the introduction of those into the population. The evolved genes effectively protect combinations of genes that have been found useful from being disturbed by the genetic operations (cross-over, mutation). However, this protection can rapidly lead to situations where evolved genes in-terlock in such a way that few or no genetic operations are possible on some genotypes. To prevent the interlocking previous implementations only allow the creation of evolved genes from genes that are direct neighbours on the genotype and therefore form continuous blocks. In this paper it is shown that the notion of dominant and recessive genes can be used to remove this limitation. Using more than one gene at a single location makes it possible to construct genetic operations that can separate interlocking evolved genes. This allows the use of non-continuous evolved genes with only minimal violations of the protection of evolved genes from those operations. As an example, this paper shows how evolved genes with dominant and re-cessive genes can be used to learn features from a set of Mondrian paintings. The representation can then be used to create new designs that contain features of the examples. The Mondrian paintings can be coded as a tree, where every node represents a rectangle division, with values for direction, position, line-width and colour. The modified evolutionary operations allow the system to cre-ate non-continuous evolved genes, for example associate two divisions with thin lines, without specifying other values. Analysis of the behaviour of the system shows that about one in ten genes is a dominant/recessive gene pair. This shows that while dominant and recessive genes are important to allow the use of non-continuous evolved genes, they do not occur often enough to seriously violate the protection of evolved genes from genetic operations.
keywords	Evolutionary Systems, Genetic Representations
series	other
email
last changed	2003/04/06 07:24

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