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» Heuristics for Planning with Action Costs
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ATAL
2003
Springer
14 years 23 days ago
Discovering and exploiting synergy between hierarchical planning agents
Agents interacting in a multiagent environment not only have to be wary of interfering with each other when carrying out their tasks, but also should capitalize on opportunities f...
Jeffrey S. Cox, Edmund H. Durfee
ECAI
2010
Springer
13 years 7 months ago
Brothers in Arms? On AI Planning and Cellular Automata
AI Planning is concerned with the selection of actions towards achieving a goal. Research on cellular automata (CA) is concerned with the question how global behaviours arise from ...
Jörg Hoffmann, Nazim Fatès, Héc...
ICTAI
2005
IEEE
14 years 1 months ago
Planning with POMDPs Using a Compact, Logic-Based Representation
Partially Observable Markov Decision Processes (POMDPs) provide a general framework for AI planning, but they lack the structure for representing real world planning problems in a...
Chenggang Wang, James G. Schmolze
ECAI
2004
Springer
14 years 28 days ago
IPSS: A Hybrid Reasoner for Planning and Scheduling
In this paper we describe IPSS (Integrated Planning and Scheduling System), a domain independent solver that integrates an AI heuristic planner, that synthesizes courses of actions...
María Dolores Rodríguez-Moreno, Ange...
ICML
1990
IEEE
13 years 11 months ago
Explanations of Empirically Derived Reactive Plans
Given an adequate simulation model of the task environment and payoff function that measures the quality of partially successful plans, competition-based heuristics such as geneti...
Diana F. Gordon, John J. Grefenstette