Coordinating Plans of Autonomous Agents
Coordinating Plans of Autonomous Agents
Decision-Theoretic Cooperative Sensor Planning
IEEE Transactions on Pattern Analysis and Machine Intelligence
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Distributed problem solving and planning
Mutli-agents systems and applications
The Stability, Scalability and Performance of Multi-agent Systems
BT Technology Journal
Distributed Problem Solving and Planning
EASSS '01 Selected Tutorial Papers from the 9th ECCAI Advanced Course ACAI 2001 and Agent Link's 3rd European Agent Systems Summer School on Multi-Agent Systems and Applications
The Dynamic Selection of Coordination Mechanisms
Autonomous Agents and Multi-Agent Systems
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Flexible problem-solving roles for autonomous agents
Integrated Computer-Aided Engineering
Automated norm synthesis in an agent-based planning environment
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
On partially controlled multi-agent systems
Journal of Artificial Intelligence Research
Co-ordination in artificial agent societies: social structures and its implications for autonomous problem-solving agents
Graphical norms via conceptual graphs
Knowledge-Based Systems
Organizations in artificial social systems
AAMAS'05 Proceedings of the 2005 international conference on Agents, Norms and Institutions for Regulated Multi-Agent Systems
Leveraging domain knowledge to learn normative behavior: a bayesian approach
ALA'11 Proceedings of the 11th international conference on Adaptive and Learning Agents
Agents' cooperation based on long-term reciprocal altruism
IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
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Although communication is generally considered to dominate over processing cost in distributed systems, the problem of communication cost in multiagent planning has not been sufficiently addressed. One method for reducing both communication cost and planning time is the use of social laws. Social laws, however, can be too restrictive, limiting soundness. Flexible social laws can enable multiagent systems to reap the benefits of reduced communication cost and planning time (except in the worst case), without limiting soundness (although optimality may be degraded). By analyzing the performance, we show that this model can make multiagent planning exponentially more efficient without limiting its applicability.