Handbook of Research on Multi-Agent Systems: Semantics and Dynamics of Organizational Models

Handbook of Research on Multi-Agent Systems: Semantics and Dynamics of Organizational Models

Virginia Dignum
Indexed In: SCOPUS View 2 More Indices
Release Date: March, 2009|Copyright: © 2009 |Pages: 630
DOI: 10.4018/978-1-60566-256-5
ISBN13: 9781605662565|ISBN10: 1605662569|EISBN13: 9781605662572
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Description & Coverage
Description:

Organizational design plays a critical role in the development of larger and more complex multi-agent systems (MAS). As systems grow to include hundreds or thousands of agents, those in the field must move from an agent-centric view of coordination and control to an organization-centric one.

The Handbook of Research on Multi-Agent Systems: Semantics and Dynamics of Organizational Models brings together views and approaches from different communities including MAS, computational organizational simulation, social simulation, organizational theory, and cognitive science, to present the intersections of the different topics. Containing chapters by renowned international authors, this book provides a comprehensive volume on the state-of-the-art on formal semantic models and practical applications for dynamic formalisms of agent organizations.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Agent-based human team support
  • Artificial institutions in the event calculus
  • Autonomous agents adopting organizational rules
  • Dynamic specifications for norm-governed systems
  • Flexible and robust agent interactions
  • Framework for dynamic agent organizations
  • Interactions between organizational networks
  • Methodologies and frameworks for agent organizations
  • Modeling dimensions for agent organizations
  • Organization modeling and analysis
  • Organizational Dynamics
  • Organizational self-design in worth-oriented domains
  • Personal assistants for human organizations
  • Petri net based model for team monitoring
  • Programming language for normative multi-agent systems
  • Role of organization in agent systems
Reviews & Statements

This book provides an overview of current work in agent organizations, from several perspectives and focusing on different aspects of the organizational spectrum. It is the hope that the work presented here will provoke additional thought, research attention and concern for the concept of organization in and for multi-agent systems.

– Virginia Dignum, Utrecht University, The Netherlands

This work represents the maturation of the last 50 years of research on applying models of human organizations to inform an understanding of artificial organizations.

– Book News Inc. (June 2009)
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Editor/Author Biographies
Virginia Dignum received a PhD in Computer Science from the Utrecht University (the Netherlands). Before joining academia in 2003, she worked in consultancy and system development for more than 12 years. Her current research focuses on agent based models of organizations, in particular in the dynamic aspects of organizations, and the applicability of agent organizations to knowledge management. She participates and leads several national and EU-projects, and has more than 50 published articles. She organized several international workshops, was treasurer of AAMAS 2005 and is vice-chair of the Belgian-Dutch AI Association.
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Editorial Advisory Board
  • Alexander Artikis, National Centre for Scientific Research “Demokritos”, Greece
  • Olivier Boissier, ENS Mines Saint-Etienne, France
  • Rafael Bordini, Durham University, UK
  • Cristiano Castelfranchi, University of Siena & National Research Council, Italy
  • Rosaria Conte, National Research Council, Italy
  • Ulisses Cortés, Technical University of Catalonia (UPC), Spain
  • Mehdi Dastani, Utrecht University, The Netherlands
  • Frank Dignum, Utrecht University, The Netherlands
  • Shaheen Fatima, Loughborough University, UK
  • Nicoletta Fornara, Università della Svizzera Italiana, Switzerland
  • Christian Lemaitre, Universidad Autónoma Metropolitana, Mexico
  • Victor Lesser, University of Massachusetts, USA
  • Fabiola López y López, Benemérita Universidad Autónoma de Puebla, Mexico
  • Michael Luck, King's College London, UK
  • Eric Matson, Wright State University, USA
  • Pablo Noriega, Artificial Intelligence Research Institute (IIIA), Spain
  • James Odell, James Odell Associates, USA
  • Eugénio Oliveira, University of Porto, Portugal
  • Andrea Omicini, Bologna University, Italy
  • Sascha Ossowski, University Rey Juan Carlos, Spain
  • Julian Padget, University of Bath, UK
  • Anna Perini, Fondazione Bruno Kessler, Italy
  • Paolo Renna, University of Basilicata, Italy
  • Antônio Carlos da Rocha Costa, Universidade Católica de Pelotas, Brazil
  • Juan A. Rodríguez-Aguilar, Artificial Intelligence Research Institute (IIIA), Spain
  • Paul Scerri, Carnegie Mellon University, USA
  • Jaime S. Sichman, University of São Paulo, Brazil
  • Maarten Sierhuis, RIACS/NASA Ames Research Center, USA
  • Katia Sycara, Carnegie Mellon University, USA
  • Liz Sonenberg, University of Melbourne, Australia
  • Wamberto Vasconcelos, University of Aberdeen, UK
  • Javier Vazquez-Salceda, Technical University of Catalonia (UPC), Spain
  • Mario Verdicchio, University of Bergamo, Italy