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» A survey of motivation frameworks for intelligent systems
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AAAI
2008
13 years 7 months ago
Economic Hierarchical Q-Learning
Hierarchical state decompositions address the curse-ofdimensionality in Q-learning methods for reinforcement learning (RL) but can suffer from suboptimality. In addressing this, w...
Erik G. Schultink, Ruggiero Cavallo, David C. Park...
AAAI
1994
13 years 6 months ago
Derivation Replay for Partial-Order Planning
Derivation replay was first proposed by Carbonell as a method of transferring guidancefrom a previousproblemsolving episode to a new one. Subsequent implementations have used stat...
Laurie H. Ihrig, Subbarao Kambhampati
ECAL
2005
Springer
13 years 11 months ago
A Self-organising, Self-adaptable Cellular System
Abstract. Inspired by the recent advances in evolutionary biology, we have developed a self-organising, self-adaptable cellular system for multitask learning. The main aim of our p...
Lucien Epiney, Mariusz Nowostawski
CEEMAS
2001
Springer
13 years 10 months ago
UML for Behavior-Oriented Multi-agent Simulations
Developing multi-agent simulations seems to be rather straight forward, as active entities in the original correspond to active agents in the model. Thus plausible behaviors can be...
Christoph Oechslein, Franziska Klügl, Rainer ...
AISC
1998
Springer
13 years 9 months ago
Reasoning About Coding Theory: The Benefits We Get from Computer Algebra
The use of computer algebra is usually considered beneficial for mechanised reasoning in mathematical domains. We present a case study, in the application domain of coding theory, ...
Clemens Ballarin, Lawrence C. Paulson