Description

Book Synopsis
What makes teamwork tick?

Cooperation matters, in daily life and in complex applications. After all, many tasks need more than a single agent to be effectively performed. Therefore, teamwork rules!

Teams are social groups of agents dedicated to the fulfilment of particular persistent tasks. In modern multiagent environments, heterogeneous teams often consist of autonomous software agents, various types of robots and human beings.

Teamwork in Multi-agent Systems: A Formal Approach explains teamwork rules in terms of agents'' attitudes and their complex interplay. It provides the first comprehensive logical theory, TeamLog, underpinning teamwork in dynamic environments. The authors justify design choices by showing TeamLog in action.

The book guides the reader through a fascinating discussion of issues essential for teamwork to be successful:

  • What is teamwork, and how can a logical view of it help in designing teams of age

    Trade Review
    "In sum, the prospective contribution of this book is expected to have an impact on a number of aspects that revolve around the modeling and simulation of teamwork, both from theory and application issues. Therefore, I recommend it to researchers in computer sciences, organization theory and social psychology who are interested in collective thinking, collaborative work and organizational phenomena, as well as to practitioners who deal everyday with the challenge of managing teams in many different settings." (Journal of Artificial Societies and Social Simulation, February 2011)



    Table of Contents
    About the Authors.

    Foreword.

    Preface.

    1 Teamwork in Multi-Agent Environments.

    1.1 Autonomous Agents.

    1.2 Multi-Agent Environments as a Pinnacle of Interdisciplinarity.

    1.3 Why Teams of Agents?

    1.4 The Many Flavors of Cooperation.

    1.5 Agents with Beliefs, Goals and Intentions.

    1.6 From Individuals to Groups.

    1.7 Group Attitudes.

    1.8 A Logical View on Teamwork: TEAMLOG.

    1.9 Teamwork in Times of Change.

    1.10 Our Agents are Planners.

    1.11 Temporal or Dynamic?

    1.12 From Real-World Data to Teamwork.

    1.13 How Complex are Models of Teamwork?

    2 Beliefs in Groups.

    2.1 Awareness is a Vital Ingredient of Teamwork.

    2.2 Perception and Beliefs.

    2.3 Language and Models for Beliefs.

    2.4 Axioms for Beliefs.

    2.5 Axioms for Knowledge.

    2.6 Relations between Knowledge and Belief.

    2.7 Levels of Agents’ Awareness.

    3 Collective Intentions.

    3.1 Intentions in Practical Reasoning.

    3.2 Language and Models for Goals and Intentions.

    3.3 Goals and Intentions of Individual Agents.

    3.4 Collective Intention Constitutes a Group.

    3.5 Definitions of Mutual and Collective Intentions.

    3.6 Collective Intention as an Infinitary Concept.

    3.7 Alternative Definitions.

    3.8 The Logic of Mutual Intention TeamLogmint is Complete.

    3.9 Related Approaches to Intentions in a Group.

    4 A Tuning Machine for Collective Commitments.

    4.1 Collective Commitment.

    4.2 The Language and Kripke Semantics.

    4.3 Building Collective Commitments.

    4.4 Tuning Collective Commitments.

    4.5 Different Notions of Collective Commitment.

    4.6 Topologies and Group Commitments.

    4.7 Summing up TeamLog: The Static Part of the Story.

    5 Reconfiguration in a Dynamic Environment.

    5.1 Dealing with Dynamics.

    5.2 The Four Stages of Teamwork.

    5.3 The Reconfiguration Method.

    5.4 Case Study of Teamwork: Theorem Proving.

    6 The Evolution of Commitments during Reconfiguration.

    6.1 A Formal View on Commitment Change.

    6.2 Individual Actions and Social Plan Expressions.

    6.3 Kripke Models.

    6.4 Dynamic Description of Teamwork.

    6.5 Evolution of Commitments During Reconfiguration.

    6.6 TeamLog Summary.

    7 A Case Study in Environmental Disaster Management.

    7.1 A Bridge from Theory to Practice.

    7.2 The Case Study: Ecological Disasters.

    7.3 Global Plans.

    7.4 Adjusting the TeamLog Definitions to the Case Study.

    7.5 Conclusion.

    8 Dialogue in Teamwork.

    8.1 Dialogue as a Synthesis of Three Formalisms.

    8.2 Dialogue Theory and Dialogue Types.

    8.3 Zooming in on Vital Aspects of Dialogue.

    8.4 Information Seeking During Potential Recognition.

    8.5 Persuasion During Team Formation.

    8.6 Deliberation During Planning.

    8.7 Dialogues During Team Action.

    8.8 Discussion.

    9 Complexity of Teamlog.

    9.1 Computational Complexity.

    9.2 Logical Background.

    9.3 Complexity of TeamLogind.

    9.4 Complexity of the System TeamLog.

    9.5 Discussion and Conclusions.

    A Appendix A.

    A.1 Axiom Systems.

    A.2 An Alternative Logical Framework for Dynamics of Teamwork: Computation Tree Logic.

    Bibliography.

    Index.

Teamwork in MultiAgent Systems

    Product form

    £75.95

    Includes FREE delivery

    RRP £79.95 – you save £4.00 (5%)

    Order before 4pm tomorrow for delivery by Tue 30 Jun 2026.

    A Hardback by Barbara Dunin-Keplicz, Rineke Verbrugge

    10 in stock


      View other formats and editions of Teamwork in MultiAgent Systems by Barbara Dunin-Keplicz

      Publisher: John Wiley & Sons Inc
      Publication Date: 04/06/2010
      ISBN13: 9780470699881, 978-0470699881
      ISBN10: 0470699884

      Description

      Book Synopsis
      What makes teamwork tick?

      Cooperation matters, in daily life and in complex applications. After all, many tasks need more than a single agent to be effectively performed. Therefore, teamwork rules!

      Teams are social groups of agents dedicated to the fulfilment of particular persistent tasks. In modern multiagent environments, heterogeneous teams often consist of autonomous software agents, various types of robots and human beings.

      Teamwork in Multi-agent Systems: A Formal Approach explains teamwork rules in terms of agents'' attitudes and their complex interplay. It provides the first comprehensive logical theory, TeamLog, underpinning teamwork in dynamic environments. The authors justify design choices by showing TeamLog in action.

      The book guides the reader through a fascinating discussion of issues essential for teamwork to be successful:

      • What is teamwork, and how can a logical view of it help in designing teams of age

        Trade Review
        "In sum, the prospective contribution of this book is expected to have an impact on a number of aspects that revolve around the modeling and simulation of teamwork, both from theory and application issues. Therefore, I recommend it to researchers in computer sciences, organization theory and social psychology who are interested in collective thinking, collaborative work and organizational phenomena, as well as to practitioners who deal everyday with the challenge of managing teams in many different settings." (Journal of Artificial Societies and Social Simulation, February 2011)



        Table of Contents
        About the Authors.

        Foreword.

        Preface.

        1 Teamwork in Multi-Agent Environments.

        1.1 Autonomous Agents.

        1.2 Multi-Agent Environments as a Pinnacle of Interdisciplinarity.

        1.3 Why Teams of Agents?

        1.4 The Many Flavors of Cooperation.

        1.5 Agents with Beliefs, Goals and Intentions.

        1.6 From Individuals to Groups.

        1.7 Group Attitudes.

        1.8 A Logical View on Teamwork: TEAMLOG.

        1.9 Teamwork in Times of Change.

        1.10 Our Agents are Planners.

        1.11 Temporal or Dynamic?

        1.12 From Real-World Data to Teamwork.

        1.13 How Complex are Models of Teamwork?

        2 Beliefs in Groups.

        2.1 Awareness is a Vital Ingredient of Teamwork.

        2.2 Perception and Beliefs.

        2.3 Language and Models for Beliefs.

        2.4 Axioms for Beliefs.

        2.5 Axioms for Knowledge.

        2.6 Relations between Knowledge and Belief.

        2.7 Levels of Agents’ Awareness.

        3 Collective Intentions.

        3.1 Intentions in Practical Reasoning.

        3.2 Language and Models for Goals and Intentions.

        3.3 Goals and Intentions of Individual Agents.

        3.4 Collective Intention Constitutes a Group.

        3.5 Definitions of Mutual and Collective Intentions.

        3.6 Collective Intention as an Infinitary Concept.

        3.7 Alternative Definitions.

        3.8 The Logic of Mutual Intention TeamLogmint is Complete.

        3.9 Related Approaches to Intentions in a Group.

        4 A Tuning Machine for Collective Commitments.

        4.1 Collective Commitment.

        4.2 The Language and Kripke Semantics.

        4.3 Building Collective Commitments.

        4.4 Tuning Collective Commitments.

        4.5 Different Notions of Collective Commitment.

        4.6 Topologies and Group Commitments.

        4.7 Summing up TeamLog: The Static Part of the Story.

        5 Reconfiguration in a Dynamic Environment.

        5.1 Dealing with Dynamics.

        5.2 The Four Stages of Teamwork.

        5.3 The Reconfiguration Method.

        5.4 Case Study of Teamwork: Theorem Proving.

        6 The Evolution of Commitments during Reconfiguration.

        6.1 A Formal View on Commitment Change.

        6.2 Individual Actions and Social Plan Expressions.

        6.3 Kripke Models.

        6.4 Dynamic Description of Teamwork.

        6.5 Evolution of Commitments During Reconfiguration.

        6.6 TeamLog Summary.

        7 A Case Study in Environmental Disaster Management.

        7.1 A Bridge from Theory to Practice.

        7.2 The Case Study: Ecological Disasters.

        7.3 Global Plans.

        7.4 Adjusting the TeamLog Definitions to the Case Study.

        7.5 Conclusion.

        8 Dialogue in Teamwork.

        8.1 Dialogue as a Synthesis of Three Formalisms.

        8.2 Dialogue Theory and Dialogue Types.

        8.3 Zooming in on Vital Aspects of Dialogue.

        8.4 Information Seeking During Potential Recognition.

        8.5 Persuasion During Team Formation.

        8.6 Deliberation During Planning.

        8.7 Dialogues During Team Action.

        8.8 Discussion.

        9 Complexity of Teamlog.

        9.1 Computational Complexity.

        9.2 Logical Background.

        9.3 Complexity of TeamLogind.

        9.4 Complexity of the System TeamLog.

        9.5 Discussion and Conclusions.

        A Appendix A.

        A.1 Axiom Systems.

        A.2 An Alternative Logical Framework for Dynamics of Teamwork: Computation Tree Logic.

        Bibliography.

        Index.

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