Multiagent systems: an emerging subdiscipline of AI
ACM Computing Surveys (CSUR)
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
OODS: an object-oriented design system - an example of electronics assemblies
Computers and Industrial Engineering
User Centered System Design; New Perspectives on Human-Computer Interaction
User Centered System Design; New Perspectives on Human-Computer Interaction
Presence: Teleoperators and Virtual Environments - Virtual environments: Virtual environments and mobile robots: Control, simulation, and robot pilot training
Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
The a-design invention machine: a means of automating and investigating conceptual design
The a-design invention machine: a means of automating and investigating conceptual design
Common metrics for human-robot interaction
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
ACM Transactions on Computer-Human Interaction (TOCHI)
ACT-R: a theory of higher level cognition and its relation to visual attention
Human-Computer Interaction
A model for types and levels of human interaction with automation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
ICA3D - Intelligent computer-aided ancient Chinese architecture design
Advanced Engineering Informatics
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With an increasing role of computers in the design process, a strong foundation of the basic principles for building CAD systems is extremely necessary. This work describes the architecture of a CAD system from the perspective of the capabilities required to build a human centered CAD system. These capabilities have been reported as task-sharing, communication, transparency, design rationale and cognition. Existing systems for engineering design have been analyzed from the perspective of these capabilities and an agent-based system previously reported in literature has been extended to a new architecture to support three of the aforementioned capabilities. The proposed architecture is an amalgamation of multi-agent systems, the ACT-R cognitive architecture and fuzzy rule based Petri nets. The salient advantage of this architecture is that it focuses on the capabilities of design rationale, transparency and cognition together-something which has been missing from all the current works in literature and is unique to the domain of application of the software system, which in this case is engineering design. The other capabilities namely task sharing and communication can be incorporated from lessons learnt from human-computer interaction research. The effectiveness of the proposed architecture is demonstrated by a hypothetical design case along with its implementation.