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» Modeling Complex Domains of Actions and Change
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AI
2001
Springer
15 years 1 months ago
Knowledge and Planning in an Action-Based Multi-agent Framework: A Case Study
The situation calculus is a logical formalism that has been extensively developed for planning. We apply the formalism in a complex multi-agent domain, modelled on the game of Clue...
Bradley Bart, James P. Delgrande, Oliver Schulte
AIPS
2009
14 years 10 months ago
The Influence of k-Dependence on the Complexity of Planning
A planning problem is k-dependent if each action has at most k pre-conditions on variables unaffected by the action. This concept is well-founded since k is a constant for all but...
Omer Giménez, Anders Jonsson
JAIR
2008
148views more  JAIR 2008»
14 years 9 months ago
Learning Partially Observable Deterministic Action Models
We present exact algorithms for identifying deterministic-actions' effects and preconditions in dynamic partially observable domains. They apply when one does not know the ac...
Eyal Amir, Allen Chang
JAIR
2007
127views more  JAIR 2007»
14 years 9 months ago
Learning Symbolic Models of Stochastic Domains
In this article, we work towards the goal of developing agents that can learn to act in complex worlds. We develop a a new probabilistic planning rule representation to compactly ...
Hanna M. Pasula, Luke S. Zettlemoyer, Leslie Pack ...
ESWA
2008
123views more  ESWA 2008»
14 years 8 months ago
Computing context-dependent temporal diagnosis in complex domains
Over the years, many Artificial Intelligence (AI) approaches have dealt with the diagnosis problem and its application in complex environments such as medical domains. Model-Based...
José M. Juárez, Manuel Campos, Jos&e...