Titlebook: Regulated Agent-Based Social Systems; First International Gabriela Lindemann,Daniel Moldt,Mario Paolucci Conference proceedings 2004 Sprin

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/r/image/825571.jpg

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https://doi.org/10.1007/b95469agent commun; agent systems; agent technology; agent-based systems; autonomous agents; beliefs; desires; fo

半球

Modeling Product Awareness Rates and Market Sharese study of tradeoffs among several variables of information like product advertisement efforts, consumers’ memory span, and passing word among friends in determining market shares. Insights gained by using this approach on an hypothetical economy are reported.

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What Is a Normative Goal?wer this question we introduce a qualitative normative decision theory based on belief (B) and obligation (O) rules. We show that every agent which makes optimal decisions – which we call a BO rational agent – acts . it is maximizing the set of normative goals that will be achieved. This is the basis of our design of goal-based normative agents.

Dungeon

How Formal Logic Can Fail to Be Useful for Modelling or Designing MASary by denying that the theory has to be so abstract. I counter the argument that logic helps communication on the simple grounds that for most people it doesn’t. I argue that the type of logic that tends to be used in these papers is inappropriate. I finish with some suggestions as to useful ways forward.

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Communicational Patterns as Basis of Organizational Structures detection and operationalization of such structures. Empirically, we demonstrate what results can be obtained by this approach to the observation of communicational patterns. With this study, we exemplify the fruitfulness and the scope of the novel perspective on organization for the design of MAS.

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Social Organization in a Software Agent Community with a Non-zero-Sum Game Interaction Model members of the community. It was predicted that such agents would learn to associate with agents which they judge to be favorable, and that the community would achieve a higher net efficiency than it would if interactions occurred randomly. Communities of highly selective agents were found to perform consistently better than non-selective ones.

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