Fundamentals of software engineering
Fundamentals of software engineering
Cooperation in industrial multi-agent systems
Cooperation in industrial multi-agent systems
Reasoning about priorities in default logic
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Agent theories, architectures, and languages: a survey
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
A Deduction Model of Belief
Information in business and administrative systems
Information in business and administrative systems
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This paper describes how the organizational semiotics field can provide a conceptual infrastructure for designing normative multi-agent information systems. Since 'information' is an ill-defined word we prefer to adopt the semiotics framework, which uses the 'sign' as the elementary concept. Information as a composition of signs is then analyzed at different levels, including syntax, semantics, pragmatics and the social level. Based on different properties of signs, found at different semiotic levels, we propose here a new agent model, designated by EDA (an acronym for its three component modules: Epistemic-Deontic-Axiological), to represent agent informational states and simultaneously define its conceptual communication framework. The norm-based and communication-based multi-agent social architecture defined in this paper is flexible enough to accommodate changes in social structure, including changes in role specification, role instantiation and even the dynamics of institutional relationships, including role removal or creation. Communication is supported by a technical infrastructure (JINI) that enables both direct message exchange and blackboard protocols. Agents are enabled with logical reasoning for a flexible implementation of conversations, which are conceptually described by finite state machines.