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Artificial Social Systems

Overview of attention for book
Cover of 'Artificial Social Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Multi-agent simulation as a tool for modeling societies: Application to social differentiation in ant colonies
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    Chapter 2 Experiments in multi-agent system dynamics
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    Chapter 3 Social aggregations in evolving neural networks
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    Chapter 4 An architecture for action, emotion, and social behavior
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    Chapter 5 Game theory vs. multiple agents: The iterated prisoner's dilemma
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    Chapter 6 Trust in distributed artificial intelligence
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    Chapter 7 Negotiation with incomplete information about worth: Strict versus tolerant mechanisms
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    Chapter 8 Equilibratory approach to distributed resource allocation: Toward coordinated balancing
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    Chapter 9 Strategic interaction in oligopolistic markets — experimenting with real and artificial agents
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    Chapter 10 Multi agent coordinated decision-making using epistemic utility theory
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    Chapter 11 The search for coordination: Knowledge-guided abstraction and search in a hierarchical behavior space
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    Chapter 12 Multi-agent planning as search for a consensus that maximizes social welfare
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    Chapter 13 Planned team activity
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    Chapter 14 Some requirements for mobile distributed telecomputing architecture
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    Chapter 15 Multi-agent research in the knobotics group
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    Chapter 16 A conflict resolution-based decentralized multi-agent problem solving model
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    Chapter 17 Decision coordination in production management
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    Chapter 18 MAKILA: A tool for the development of cooperative societies
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    Chapter 19 User role in problem solving with distributed artificial intelligent systems
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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