An examination of distributed planning in the world of air traffic control
Journal of Parallel and Distributed Computing
Modeling coordination in organizations and markets
Management Science
Dynamic hierarchical control for distributed problem solving
Data & Knowledge Engineering
Evaluating research in cooperative distributed problem solving
Distributed artificial intelligence: vol. 2
Collective behavior of predictive agents
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Dynamics of computational ecosystems: implications for DAI
Distributed Artificial Intelligence (Vol. 2)
Artificial Intelligence
Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
Evolving novel organizational forms
Computational organization theory
ACTS theory: extending the model of bounded rationality
Computational organization theory
DAI approaches to coordination
Distributed artificial intelligence
Coalition, cryptography, and stability: mechanisms for coalition formation in task oriented domains
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Controlling cooperative problem solving in industrial multi-agent systems using joint intentions
Artificial Intelligence
Agent modelling in distributed intelligent systems
Systems Analysis Modelling Simulation
T&Aelig;MS: a framework for environment centered analysis and design of coordination mechanisms
Foundations of distributed artificial intelligence
Coalitions among computationally bounded agents
Artificial Intelligence - Special issue on economic principles of multi-agent systems
KQML as an agent communication language
Software agents
Task environment centered simulation
Simulating organizations
Distributed rational decision making
Multiagent systems
A Methodology for Modeling Coordination in Intelligent Agent Societies
Computational & Mathematical Organization Theory
Environment centered analysis and design of coordination mechanisms
Environment centered analysis and design of coordination mechanisms
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Coordination is understood to consist of a set of mechanisms necessary for the effective operation of Intelligent Agent Societies (IASs). In building such societies, it is important to design and implement coordination in accordance with the known requirements and anticipated working conditions of the IAS in question. Currently, there is little theoretical support that could help in this process. We outline the approach and design principles of our work on automatically generating an empirically-based theory of coordination. We also describe the first set of results obtained, which prove the feasibility of the approach.We are concerned with Distributed Problem Solving (DPS) systems in which all agents share an identical goal structure and fully collaborate, as opposed to Multi-Agent Systems (MAS) in which agents may also compete with one another. Our investigation is based on an easily modifiable and parametrizable generic IAS, the P-system, a metaphorical and abstract version of our earlier work, the Distributed Control of Nationwide Manufacturing Operations. The P-system shares characteristic properties with most, if not all, IASs. It was used for a sequence of rigorously designed experiments in which control variables operated under well-defined conditions and performance measures were observed. We infer, from the statistical analysis of these data, characteristic and important descriptors of the organization and functioning of IASs in general. The resulting relations should produce insight into the fundamental issues of coordination, provide design tools and guidelines for the construction of new IASs, and lend support in trouble-shooting existing ones.