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AAAI
1994
13 years 11 months ago
Representing Multiple Theories
Most Artificial Intelligence programs lack generality because they reason with a single domain theory that is tailored for a specific task and embodies a host of implicit assumpti...
P. Pandurang Nayak
AAAI
1994
13 years 11 months ago
Control Strategies for a Stochastic Planner
We present new algorithms for local planning over Markov decision processes. The base-level algorithm possesses several interesting features for control of computation, based on s...
Jonathan Tash, Stuart J. Russell
AIPS
1996
13 years 11 months ago
A Candidate Set Based Analysis of Subgoal Interactions in Conjunctive Goal Planning
Subgoal interactions have received considerable attention in AI Planning. Earlier analyses by Korf [11] and Joslin and Roach [6] were done in terms of the topology of the space of...
Subbarao Kambhampati, Laurie H. Ihrig, Biplav Sriv...
AIIDE
2009
13 years 11 months ago
Examining Extended Dynamic Scripting in a Tactical Game Framework
Dynamic scripting is a reinforcement learning algorithm designed specifically to learn appropriate tactics for an agent in a modern computer game, such as Neverwinter Nights. This...
Jeremy Ludwig, Arthur Farley
ATAL
2010
Springer
13 years 11 months ago
Reasoning about strategies of multi-agent programs
Verification of multi-agent programs is a key problem in agent research and development. This paper focuses on multi-agent programs that consist of a finite set of BDI-based agent...
Mehdi Dastani, Wojciech Jamroga