Towards a theory of declarative knowledge
Foundations of deductive databases and logic programming
Intelligence without representation
Artificial Intelligence
ACM Computing Surveys (CSUR)
Artificial Intelligence
A situated view of representation and control
Artificial Intelligence - Special volume on computational research on interaction and agency, part 2
Routing in the Internet (2nd ed.)
Routing in the Internet (2nd ed.)
Self-stabilizing systems in spite of distributed control
Communications of the ACM
Speculative computation with multi-agent belief revision
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
The Artificial Life Route to Artificial Intelligence: Building Embodied, Situated Agents
The Artificial Life Route to Artificial Intelligence: Building Embodied, Situated Agents
From logic programming towards multi-agent systems
Annals of Mathematics and Artificial Intelligence
Trends in Cooperative Distributed Problem Solving
IEEE Transactions on Knowledge and Data Engineering
Issues in Agent-Based Software Engineeing
CIA '97 Proceedings of the First International Workshop on Cooperative Information Agents
Dialogues for Negotiation: Agent Varieties and Dialogue Sequences
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
Dynamic Programming
Stabilization of Information Sharing for Queries Answering in Multiagent Systems
ICLP '09 Proceedings of the 25th International Conference on Logic Programming
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An information agent is viewed as a deductive database consisting of three parts: an observation database containing the facts the agent has observed or sensed from its surrounding environment; an input database containing the information the agent has obtained from other agents; an intensional database which is a set of rules for computing derived information from the information stored in the observation and input databases. Stabilization of a system of information agents represents a capability of the agents to eventually get correct information about their surrounding despite unpredictable environment changes and the incapability of many agents to sense such changes causing them to have temporary incorrect information. We argue that the stabilization of a system of cooperative information agents could be understood as the convergence of the behavior of the whole system toward the behavior of a “superagent”, who has the sensing and computing capabilities of all agents combined. We show that unfortunately, stabilization is not guaranteed in general, even if the agents are fully cooperative and do not hide any information from each other. We give sufficient conditions for stabilization. We discuss the consequences of our results.