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_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 8569
authors Kurmann, D., Elte, N. and Engeli, M.
year 1997
title Real-Time Modeling with Architectural Space
source CAAD Futures 1997 [Conference Proceedings / ISBN 0-7923-4726-9] München (Germany), 4-6 August 1997, pp. 809-819
summary Space as an architectural theme has been explored in many ways over many centuries; designing the architectural space is a major issue in both architectural education and in the design process. Based on these observations, it follows that computer tools should be available that help architects manipulate and explore space and spatial configurations directly and interactively. Therefore, we have created and extended the computer tool Sculptor. This tool enables the architect to design interactively with the computer, directly in real-time and in three dimensions. We developed the concept of 'space as an element' and integrated it into Sculptor. These combinations of solid and void elements - positive and negative volumes - enable the architect to use the computer already in an early design stage for conceptual design and spatial studies. Similar to solids modeling but much simpler, more intuitive and in real-time this allows the creation of complex spatial compositions in 3D space. Additionally, several concepts, operations and functions are defined inherently. Windows and doors for example are negative volumes that connect other voids inside positive ones. Based on buildings composed with these spaces we developed agents to calculate sound atmosphere and estimate cost, and creatures to test building for fire escape reasons etc. The paper will look at the way to design with space from both an architect's point of view and a computer scientist's. Techniques, possibilities and consequences of this direct void modeling will be explained. It will elaborate on the principle of human machine interaction brought up by our research and used in Sculptor. It will present the possibility to create VRML models directly for the web and show some of the designs done by students using the tool in our CAAD courses.
series CAAD Futures
email
last changed 1999/04/06 09:19

_id 85db
authors Li, Siu Pan Thomas and Will, Barry F.
year 1997
title A Computer Based Evaluation Tool for the Visual Aspects in Window Design
source CAADRIA ‘97 [Proceedings of the Second Conference on Computer Aided Architectural Design Research in Asia / ISBN 957-575-057-8] Taiwan 17-19 April 1997, pp. 247-256
doi https://doi.org/10.52842/conf.caadria.1997.247
summary Windows in buildings must respond to five major issues – daylight, sunshine, view, ventilation and sound. Each of these processes in its own way can be critical to the synthesis of a successful architectural design. All factors except view are engineering criteria that can be evaluated by some mathematical formulae provided there is sufficient information for the calculations. In contrast view” being a qualitative entity has difficulty in being measured by using conventional mathematical tools but it is probably the major factor that leads to the satisfaction and comfort of the users inside the building enclosure. This paper introduces a new approach in analyzing views by the use of computers. One of the advantages of this analysis process is that the psychological aspects are less biased in the end product. This paper explains the methodologies, theories and principles underlying these modeling and analyzing tools.
series CAADRIA
email
last changed 2022/06/07 07:59

_id ab84
authors Li, Thomas S.P. and Will, Barry F.
year 1997
title A Computer-Aided Evaluation Tool for the Visual Aspects in Architectural Design for High-Density and High- Rise Buildings
source CAAD Futures 1997 [Conference Proceedings / ISBN 0-7923-4726-9] München (Germany), 4-6 August 1997, pp. 345-356
summary The field of view, the nature of the objects being seen, the distances between the objects and the viewer, daylighting and sunshine are some major factors affecting perceived reactions when viewing through a window. View is one major factor that leads to the satisfaction and comfort of the users inside the building enclosure. While computer technologies are being widely used in the field of architecture, designers still have to use their own intelligence, experience and preferences in judging their designs with respect to the quality of view. This paper introduces an alternative approach to the analysis of views by the use of computers. The prototype of this system and its underlying principles were first introduced in the C A A D R I A 1997 conference. This paper describes the further development of this system where emphasis has been placed on the high- rise and high-density environments. Architects may find themselves facing considerable limitations for improving their designs regarding views out of the building under these environmental conditions. This research permits an interactive real-time response to altering views as the forms and planes of the building are manipulated.
series CAAD Futures
email
last changed 2001/05/27 18:39

_id b357
authors Molinari, Claudio and Talamo, Cinzia
year 1997
title A Hypertextual Didactic Tool for a Maintenance Oriented Design
source AVOCAAD First International Conference [AVOCAAD Conference Proceedings / ISBN 90-76101-01-09] Brussels (Belgium) 10-12 April 1997, pp. 263-275
summary This paper presents a research concerning the theme of the support didactic tools for a maintenance oriented design. The work takes a starting point in two remarks: the first is the importance of maintainability requirements prevision for the correct planning of a project and for the formulation of maintenance strategies; the second is the lack of information (examples, references, laws, quality and performance plans) easily available for students and designers. The tool thas has been pointed out has the aim to provide the information - belonging to different categories of knowledge - useful for a maintainability conscious design, according the free navigation modalities tipical of hypertextual applications. Starting from a matrix that associates building subsistems and maintainability requirements the student has the possibility to navigate into a network in which it is possible to have information about: european laws concerning maintenance, examples (drawings, pictures and description) of architectures and of industrial components that regard particular maintainability solutions and a plan in which are schematized the appropriate dimensions and the morfological configurations for the maintenance activities. This hypertextual didactic tool has two different educational applications: 1) during design training courses, it can support in self-training about maintenance aspects; 2) it can become a specialistic module inside an integrated CAAD system developed to combine the graphic representation with different performances evalutions.
series AVOCAAD
last changed 2005/09/09 10:48

_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

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