Titlebook: Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications; Based on the AI‘97 W Wayne Wobcke,Maurice Pagnucco,Chengqi Zhan

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Cultures in Human-Computer Interaction we present a formal framework that unifies the sociological and the economic approach to decentralised social co-ordination. We show how this model can be used to determine the outcome of decentralised social co-ordination within distributed problem-solving systems and illustrate this by an example.

采納

Generating states of joint commitment between autonomous agents, may generate such agreements through negotiation. In particular, we focus on a discussion of the structure of an agreement, what it means for an agent to be committed to an agreement, and the communicative actions that agents use in the generation of agreements.

解脫

Social co-ordination among autonomous problem-solving agents, we present a formal framework that unifies the sociological and the economic approach to decentralised social co-ordination. We show how this model can be used to determine the outcome of decentralised social co-ordination within distributed problem-solving systems and illustrate this by an example.

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彎曲道理

Culture, Practice, and the Bodyk presented here allows the behavior of different agents to be specified at different levels of abstraction, using a rich set of programming language constructs. As an example, we specify a meeting scheduler multi-agent system.

機(jī)警

Brenna Clarke Gray,Peter Wilkinsin the burden carriage problem, which includes a typical situation of agents in competition. We show that the behavior of agents in the problem matches the results of team contests of the dilemma game.

AVERT

Introduction: Understanding Comics Work,ese two models into a distributed expert system, the ability of these individual expert systems in their real applications will be greatly improved. The work described in this paper is an important step in this direction.

搏斗

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保存

Transformation between the EMYCIN model and the Bayesian network,ese two models into a distributed expert system, the ability of these individual expert systems in their real applications will be greatly improved. The work described in this paper is an important step in this direction.