Description
Book SynopsisAn Application Science For Multi-Agent Systems addresses the complexity of choosing which multi-agent control technologies are appropriate for a given problem domain or a given application.
Table of ContentsAn Application Science for Multi-Agent Systems; T. Wagner. Coordination Challenges for Autonomous Spacecraft; B.J. Clement, A.C. Barrett. A Framework for Evaluation of Multi-Agent System Approaches to Logistics Network Management; P. Davidsson, F. Wernstedt. Centralized Versus Decentralized Coordination: Two Application Case Studies; T. Wagner, J. Phelps, V. Guralnik. A Complex Systems Perspective on Collaborative Design; M. Klein, H. Sayama, P. Faratin, Y. Bar-Yam. Multi-Agent System Interaction Protocols in a Dynamically Changing Environment; M. Purvis, S. Cranefield, M. Nowostawski, M. Purvis. Challenges to Scaling-Up Agent Coordination Strategies; E.H. Durfee. Roles in MAS: Managing the Complexity of Tasks and Environments; I. Partsakoulakis, G. Vouros. An Evolutionary Framework for Large-Scale Experimentation in Multi-Agent Systems; A. Babanov, W. Ketter, M. Gini. Application Characteristics Motivating Adaptive Organizational Capabilities within Multi-Agent Systems; K.S. Barber, M.T. MacMahon. Applying Coordination Mechanisms for Dependency Relationships under Various Environments; Wei Chen, K. Decker. Performance Models for Large Scale Multi-Agent Systems: A Distributed POMDP-Based Approach; Hyuckchul Jung, M. Tambe. Index.
