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AAAI
1998
15 years 8 months ago
Maintaining Consistency in Hierarchical Reasoning
We explore techniques for maintaining consistency in reasoning when employing dynamic hierarchical task decompositions. In particular, we consider the difficulty of maintaining co...
Robert E. Wray III, John E. Laird
WISES
2003
15 years 8 months ago
Advanced Movement Model of Crowd Robots
— This paper is about collision avoidance of crowd robots. For this purpose a model of potential field is proposed. This potential field, generated by a neural network, is uniq...
Adela Béres, Károly Béres, Mi...
ICMAS
1998
15 years 8 months ago
A Market Protocol for Decentralized Task Allocation
We present a decentralized, asynchronous market protocol for allocating and scheduling tasks among agents that contend for scarce resources, constrained by a hierarchical task dep...
William E. Walsh, Michael P. Wellman
IJCAI
1997
15 years 8 months ago
Extracting Propositions from Trained Neural Networks
This paper presents an algorithm for extract­ ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
Hiroshi Tsukimoto
233
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UAI
2000
15 years 8 months ago
Fast Planning in Stochastic Games
Stochastic games generalize Markov decision processes MDPs to a multiagent setting by allowing the state transitions to depend jointly on all player actions, and having rewards de...
Michael J. Kearns, Yishay Mansour, Satinder P. Sin...