A deductive solution for plan generation
New Generation Computing
Reasoning situated in time I: basic concepts
Journal of Experimental & Theoretical Artificial Intelligence
Reasoning about knowledge
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Supporting software agents on small devices
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Weak, strong, and strong cyclic planning via symbolic model checking
Artificial Intelligence - special issue on planning with uncertainty and incomplete information
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Proceedings of the 13th international conference on World Wide Web
A Complete and Decidable Logic for Resource-Bounded Agents
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
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AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
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IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Pushing the envelope: planning, propositional logic, and stochastic search
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Complete axiomatizations of finite syntactic epistemic states
DALT'05 Proceedings of the Third international conference on Declarative Agent Languages and Technologies
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The effective reasoning capabilityof an agent can be defined as its capability to infer, within a given space and time bound, facts that are logical consequences of its knowledge base. In this paper we show how to determine the effective reasoning capability of an agent with limited memory by encoding the agent as a transition system and automatically verifying whether a state where the agent believes a certain conclusion is reachable from the start state. We present experimental results using the Model Based Planner (mbp) which illustrates how the length of the deduction varies for different memory sizes.