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_id 4b05
authors Brazier, Frances M. and Wijngaards, Niek
year 2002
title Role of Trust in Automated Distributed Design
source Gero JS and Brazier FMT (eds) (2002) Agents in Design 2002. Key Centre of Design Computing and Cognition, University of Sydney, pp. 71-83
summary Distributed design involves many participants, each with their own expertise and goals. Information acquired from different participants may be valued differently in terms of accuracy and trustworthiness. Human participants in a distributed design setting often know whom they trust, and whose abilities they value. This knowledge is not often made explicit. It does, however, influence distributed design processes (i.e. the way in which members of a design team assess and incorporate each others' designs, objectives, evaluations). These trust relations need to be made explicit to be able to effectively support distributed design.
series other
email
last changed 2003/11/21 15:16

_id 9d2e
authors Liu, H., Tang, M. and Frazer, J. H.
year 2002
title A Knowledge Based Collaborative Design Environment
source Gero JS and Brazier FMT (eds) (2002) Agents in Design 2002. Key Centre of Design Computing and Cognition, University of Sydney, pp. 233-246
summary In this paper, we propose an agent based collaborative design environment in which human designers and software agents interact with each other, exchange design information and keep track of state information to assist with collaborative design. First of all, it presents a hierarchical multi-agent system architecture for integrating design and engineering tools, software agents and human specialists in an open environment. The hierarchical multi-agent system architecture offers a promising framework with their novel approaches for dynamically creating and managing design tasks in widely distributed and ever-changing design environments. Secondly, it introduces a collaborative design process model and the dynamic management approach for collaborative design process. Then, the structure of a design agent, its static knowledge and dynamic knowledge are introduced respectively. The knowledge based design approach provides a foundation for supporting reusable design activities. Finally, the cooperative design process is illustrated by a bicycle design example.
series other
email
last changed 2003/05/10 10:16

_id 9a97
authors Chen, Zhuo F. and Brown, David C.
year 2002
title Explorations of a Two-Layer A-Design System - The Influence of New Agents on a Design System
source Gero JS and Brazier FMT (eds) (2002) Agents in Design 2002. Key Centre of Design Computing and Cognition, University of Sydney, pp. 249-256
summary This paper presents the architecture of a two-layer A-design system. It then goes on to use that system in an example configuration design problem. Two-layer A-Design limits the bias of selecting the most commonly used components by having the ability to introduce new components.
series other
email
last changed 2003/05/10 10:16

_id 61d6
authors Klein, M., Sayma, H., Faratin, P. and Bar-Yam, Y.
year 2002
title A Complex Systems Perspective on How Agents Can Support Collaborative Design
source Gero JS and Brazier FMT (eds) (2002) Agents in Design 2002. Key Centre of Design Computing and Cognition, University of Sydney, pp. 95-111
summary Almost all complex artifacts nowadays, including physical artifacts such as airplanes, as well as informational artifacts such as software, organizational designs, plans and schedules, are created via the interaction of many, sometimes thousands of participants, working on different elements of the design. This collaborative design process is typically expensive and time-consuming because strong interdependencies between design decisions make it difficult to converge on a single design that satisfies these dependencies and is acceptable to all participants. Complex systems research concerning the generic dynamics of distributed networks has much to offer to the understanding of this process. This paper describes some insights derived from this novel perspective.
series other
email
last changed 2003/05/10 10:16

_id 33ba
authors Reffat, Rabee M.
year 2002
title Intelligent Agents for Concept Invention of Design Forms
source Gero JS and Brazier FMT (eds) (2002) Agents in Design 2002. Key Centre of Design Computing and Cognition, University of Sydney, pp. 55-68
summary Concept invention refers to the act of discovering new concepts for the first time. Concept invention may require a new interpretation that motivates new mappings of the situation prior to the discovery of a new concept. This paper is concerned with developing intelligent design agents that would be capable of inventing creative concepts of design forms, shapes and compositions while involved in the design process. A new approach of exploiting the old notion of "displacement of concepts" with regard to concept invention in designing in the form of mobile design agents is adopted and utilised in developing the structure of intelligent mobile agentbased system.
series other
email
last changed 2003/05/10 10:16

_id f231
authors Hammond, T.,Gajos, K., Davis, R. and Shrobe, H.
year 2002
title An Agent-Based System for Capturing and Indexing Software Design Meetings
source Gero JS and Brazier FMT (eds) (2002) Agents in Design 2002. Key Centre of Design Computing and Cognition, University of Sydney, pp. 203-218
summary We present an agent-based system for capturing and indexing software design meetings. During these meetings, designers design object-oriented software tools, including new agent-based technologies for the Intelligent Room, by sketching UML-type designs on a white-board. To capture the design meeting history, the Design Meeting Agent requests available audio, video, and screen capture services from the environment and uses them to capture the entire design meeting. However, finding a particular moment of the design history video and audio records can be cumbersome without a proper indexing scheme. To detect, index, and timestamp significant events in the design process, the Tahuti Agent, also started by the Design Meeting Agent, records, recognizes, and understands the UML-type sketches drawn during the meeting. These timestamps can be mapped to particular moments in the captured video and audio, aiding in the retrieval of the captured information. Metaglue, a multiagent system, provides the computational glue necessary to bind the distributed components of the system together. It also provides necessary tools for seamless multi-modal interaction between the varied agents and the users.
series other
email
last changed 2003/05/10 10:16

_id 12a2
authors Moss, J., Cagan, J. and Kotovsky, K.
year 2002
title Learning from Design Experience in an Agent-Based Design System
source Gero JS and Brazier FMT (eds) (2002) Agents in Design 2002. Key Centre of Design Computing and Cognition, University of Sydney, pp. 181-200
summary A simple learning mechanism was added to an agent-based computational design system to see if it could then transfer knowledge across problems. An existing system, A-Design, was enhanced by giving it the ability to store useful design knowledge in a memory store so that this knowledge could be used in new design problems. Three electromechanical design problems were used to evaluate this new learning mechanism, and results indicate that this simple learning mechanism is successful at transferring design knowledge to new problems with some limitations.
series other
email
last changed 2003/05/10 10:16

_id b207
authors Smith, Gregory J. and Gero, John S.
year 2002
title Interaction and Experience - Situated Agents and Sketching
source Gero JS and Brazier FMT (eds) (2002) Agents in Design 2002. Key Centre of Design Computing and Cognition, University of Sydney, pp. 115-132
summary Cognitive studies of designers often involve sketching, but studies using artificial intelligence often apply a search paradigm. Sketching is an interaction between an agent and an environment. Perception influences how shape rules are applied, and the application of the rules influences future perception. One motivation behind our work is to computationally model an autonomous design agent that is based on interaction; an agent that can interact with an external representation of a developing design. We describe an interactive model of an agent. In our model an agent has six parts: sensors, perceptors, a conceptor, an action activator, a hypothesiser, and effectors. In this paper we describe our model and a trial implementation involving learning, perception and action activation
series other
email
last changed 2003/05/10 10:16

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