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» Real-World Limits to Algorithmic Intelligence
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AAAI
2004
14 years 11 months ago
Solving Concurrent Markov Decision Processes
Typically, Markov decision problems (MDPs) assume a single action is executed per decision epoch, but in the real world one may frequently execute certain actions in parallel. Thi...
Mausam, Daniel S. Weld
CEC
2011
IEEE
13 years 9 months ago
Differential evolution with multiple strategies for solving CEC2011 real-world numerical optimization problems
—Over the last two decades, many Differential Evolution (DE) strategies have been introduced for solving Optimization Problems. Due to the variability of the characteristics in o...
Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam
ECAI
1994
Springer
15 years 1 months ago
Belief Revision in Multi-Agent Systems
The ability to respond sensibly to changing and conflicting beliefs is an integral part of intelligent agency. To this end, we outline the design and implementation of a Distribute...
Benedita Malheiro, Nicholas R. Jennings, Eugenio O...
CORR
2012
Springer
171views Education» more  CORR 2012»
13 years 5 months ago
Discovering causal structures in binary exclusive-or skew acyclic models
Discovering causal relations among observed variables in a given data set is a main topic in studies of statistics and artificial intelligence. Recently, some techniques to disco...
Takanori Inazumi, Takashi Washio, Shohei Shimizu, ...
ATAL
2007
Springer
15 years 3 months ago
IFSA: incremental feature-set augmentation for reinforcement learning tasks
Reinforcement learning is a popular and successful framework for many agent-related problems because only limited environmental feedback is necessary for learning. While many algo...
Mazda Ahmadi, Matthew E. Taylor, Peter Stone