Multistage negotiation in distributed planning
Distributed Artificial Intelligence
Social conceptions of knowledge and action: DAI foundations and open systems semantics
Artificial Intelligence
Coordination of Distributed Problem Solvers
Coordination of Distributed Problem Solvers
A framework for problem-solving in a distributed processing environment.
A framework for problem-solving in a distributed processing environment.
Exploiting Uncertainty and Incomplete Knowledge in Deceptive Argumentation
ICCS '01 Proceedings of the International Conference on Computational Sciences-Part I
Negotiation Algorithms for Multi-agent Interactions
AISC '00 Revised Papers from the International Conference on Artificial Intelligence and Symbolic Computation
Co-ordination in artificial agent societies: social structures and its implications for autonomous problem-solving agents
Agent-oriented programming: from prolog to guarded definite clauses
Agent-oriented programming: from prolog to guarded definite clauses
Constrained intelligent action: planning under the influence of a master agent
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Quantitative modeling of complex computational task environments
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Agents contracting tasks in non-collaborative environments
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
ASP-Prolog for negotiation among dishonest agents
LPNMR'11 Proceedings of the 11th international conference on Logic programming and nonmonotonic reasoning
Dishonest reasoning by abduction
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
A logical formulation for negotiation among dishonest agents
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
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Much distributed artificial intelligence research on negotiation assumes complete knowledge among the interacting agents and/or truthful agents. These assumptions in many domains will not be realistic, and this paper extends previous work to begin dealing with the case of inter-agent negotiation with incomplete information. A discussion of our existing negotiation framework sets out the rules by which agents operate during this phase of their interaction. The concept of a "solution" within this framework is presented; the same solution concept serves for interactions between agents with incomplete information as it did for complete information interactions. The possibility of incomplete information among agents opens up the possibility of deception as part of the negotiation strategy of an agent. Deception during negotiation among autonomous agents is thus analyzed in the constrained Blocks Domain, and it is shown that beneficial lies do exist in some scenarios. The three types of interactions, cooperative, compromise, and conflict, are examined. An analysis is made of how each affects the possibility of beneficial deception by a negotiating agent.