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» Propositional planning in BDI agents
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DALT
2005
Springer
14 years 1 months ago
Agent-Oriented Programming with Underlying Ontological Reasoning
Developing applications that make effective use of machine-readable knowledge sources as promised by the Semantic Web vision is attracting much of current research interest; this v...
Álvaro F. Moreira, Renata Vieira, Rafael H....
LOGCOM
1998
178views more  LOGCOM 1998»
13 years 7 months ago
Applying the Mu-Calculus in Planning and Reasoning about Action
Planning algorithms have traditionally been geared toward achievement goals in single-agent environments. Such algorithms essentially produce plans to reach one of a specified se...
Munindar P. Singh
LAMAS
2005
Springer
14 years 1 months ago
Multi-agent Relational Reinforcement Learning
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
AI
2007
Springer
13 years 7 months ago
Learning action models from plan examples using weighted MAX-SAT
AI planning requires the definition of action models using a formal action and plan description language, such as the standard Planning Domain Definition Language (PDDL), as inp...
Qiang Yang, Kangheng Wu, Yunfei Jiang
AAAI
1997
13 years 9 months ago
Using CSP Look-Back Techniques to Solve Real-World SAT Instances
We report on the performance of an enhanced version of the “Davis-Putnam” (DP) proof procedure for propositional satisfiability (SAT) on large instances derived from realworld...
Roberto J. Bayardo Jr., Robert Schrag