Some observations on mental models
Human-computer interaction
Software agents
Readings in agents
Readings in agents
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
The Design of Intelligent Agents: A Layered Approach
The Design of Intelligent Agents: A Layered Approach
Learning and Communication in Multi-Agent Systems
ECAI '96 Selected papers from the Workshop on Distributed Artificial Intelligence Meets Machine Learning, Learning in Multi-Agent Environments
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This paper describes a method to construct multiagent systems. The method proposed here is explored accounting for the Gibson's ecological view of information, i.e. affordance. We apply the idea of affordance not only to the reactive models of agents but also to the deliberative models of the agents. By this approach, we can avoid the frame problems that emerge from the dynamic environment including the agent's mental world. We describe a basic representation scheme for agent modules which reflects the Gibson's view of information resources. As a system description language, we use knowledge processing language KAUS (knowledge acquisition and utilization system) based on first order logic and axiomatic set theory. We consider as an example the multi-strata modeling scheme for developing human-computer interactive problem solving systems that are essentially multiagent systems.