Coordination, Organizations, Institutions, and Norms in Multi-Agent Systems AAMAS 2005 International Workshops on Agents, Norms, and Institutions for Regulated Multiagent Systems, ANIREM 2005 and on Organizations in Multi-Agent Systems, OOOP 2005, Utrecht, The Netherlands, July 25-26, 2005, Revised Selected Papers

Bibliographic Details
Other Authors: Boissier, Olivier (Editor), Padget, Julian (Editor), Dignum, Virginia (Editor), Lindemann, Gabriela (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2006, 2006
Edition:1st ed. 2006
Series:Lecture Notes in Artificial Intelligence
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Modelling, Analyzing and Programming Organizations
  • A Coordination Framework Based on the Sociology of Organized Action
  • Formal Modeling and Analysis of Organizations
  • Towards Sustained Team Effectiveness
  • Verification and Analysis of Organisational Change
  • : A Middleware for Developing Organised Multi-agent Systems
  • Modelling and Analyzing Institutions
  • Fencing the Open Fields: Empirical Concerns on Electronic Institutions (Invited Paper)
  • Specifying and Analysing Agent-Based Social Institutions Using Answer Set Programming
  • Modeling Control Mechanisms with Normative Multiagent Systems: The Case of the Renewables Obligation
  • Computational Institutions for Modelling Norm-Regulated MAS: An Approach Based on Coordination Artifacts
  • An Event Driven Approach to Norms in Artificial Institutions
  • Modelling Normative Designs
  • Designing Normative Behaviour Via Landmarks
  • Design by Contract Deontic Design Language for Multiagent Systems
  • Informed Deliberation During Norm-Governed Practical Reasoning
  • Organizations in Artificial Social Systems
  • Evaluation and Regulation
  • Exploring Congruence Between Organizational Structure and Task Performance: A Simulation Approach
  • Verifying Norm Compliancy of Protocols
  • A Rule Language for Modelling and Monitoring Social Expectations in Multi-agent Systems