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Balancing Reactivity and Social Deliberation in Multi-Agent Systems

From RoboCup to Real-World Applications

  • Conference proceedings
  • © 2001

Overview

Authors:
  1. Markus Hannebauer

    1. GMD — German National Research Center for Information Technology, Research Institute for Computer Architecture and Software Technology (FIRST), Berlin, Germany

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  2. Jan Wendler

    1. Humboldt-Universität Berlin Institut für Informatik, Berlin, Germany

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  3. Enrico Pagello

    1. Dipartimento di Elettronica e Informatica, Universitá degli Studi di Padova, Padova, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2103)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Table of contents (13 papers)

  1. Front Matter

    Pages I-VIII
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  2. Introduction

    1. Balancing Reactivity and Social Deliberation in Multi-Agent Systems — A Short Guide to the Contributions

      • Markus Hannebauer, Jan Wendler, Enrico Pagello
      Pages 3-8

    2. Reactivity and Deliberation: A Survey on Multi-Robot Systems

      • Luca Iocchi, Daniele Nardi, Massimiliano Salerno
      Pages 9-32

  3. II Architectures and Frameworks

    1. Bridging Deliberation and Reactivity in Cooperative Multi-Robot Systems through Map Focus

      • Stefano Carpin, Carlo Ferrari, Enrico Pagello, Pierluigi Patuelli
      Pages 35-52

    2. Balancing between Reactivity and Deliberation in the ICAGENT Framework

      • Vangelis Kourakos Mavromichalis, George A. Vouros
      Pages 53-75

    3. On Augmenting Reactivity with Deliberation in a Controlled Manner

      • Jacek Malec
      Pages 76-91

    4. HAC: A Unified View of Reactive and Deliberative Activity

      • Marc S. Atkin, David L. Westbrook, Paul R. Cohen
      Pages 92-107

  4. III Enhanced Reactivity

    1. Team Cooperation Using Dual Dynamics

      • Ansgar Bredenfeld, Hans-Ulrich Kobialka
      Pages 111-124

    2. A Hierarchy of Reactive Behaviors Handles Complexity

      • Sven Behnke, Raúl Rojas
      Pages 125-136

    3. Reinforcement Learning for Cooperating and Communicating Reactive Agents in Electrical Power Grids

      • Martin Riedmiller, Andrew Moore, Jeff Schneider
      Pages 137-149

    4. Being Reactive by Exchanging Roles: An Empirical Study

      • Olivier Sigaud, Pierre Gérard
      Pages 150-172

  5. IV Controlled Social Deliberation

    1. Situation Based Strategic Positioning for Coordinating a Team of Homogeneous Agents

      • Luís Paulo Reis, Nuno Lau, Eugénio Costa Oliveira
      Pages 175-197

    2. Deliberation Levels in Theoretic-Decision Approaches for Task Allocation in Resource-Bounded Agents

      • Maroua Bouzid, Hossam Hanna, Abdel-Illah Mouaddib
      Pages 198-216

    3. Cognition, Sociability, and Constraints

      • Gerhard Weiß
      Pages 217-235

  6. Back Matter

    Pages 237-237
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Keywords

Authors and Affiliations

  • GMD — German National Research Center for Information Technology, Research Institute for Computer Architecture and Software Technology (FIRST), Berlin, Germany

    Markus Hannebauer

  • Humboldt-Universität Berlin Institut für Informatik, Berlin, Germany

    Jan Wendler

  • Dipartimento di Elettronica e Informatica, Universitá degli Studi di Padova, Padova, Italy

    Enrico Pagello

Bibliographic Information

  • Book Title: Balancing Reactivity and Social Deliberation in Multi-Agent Systems

  • Book Subtitle: From RoboCup to Real-World Applications

  • Authors: Markus Hannebauer, Jan Wendler, Enrico Pagello

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-44568-4

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2001

  • Softcover ISBN: 978-3-540-42327-0Published: 11 July 2001

  • eBook ISBN: 978-3-540-44568-5Published: 15 May 2003

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: VIII, 244

  • Topics: Artificial Intelligence, Computer Communication Networks

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