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ICTAI
2005
IEEE
16 years 3 days ago
Hybrid Learning Neuro-Fuzzy Approach for Complex Modeling Using Asymmetric Fuzzy Sets
A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...
Chunshien Li, Kuo-Hsiang Cheng, Jiann-Der Lee
ATAL
2009
Springer
16 years 1 months ago
A demonstration of the Polaris poker system
Poker games provide a useful testbed for modern Artificial Intelligence techniques. Unlike many classical game domains such as chess and checkers, poker includes elements of impe...
Michael H. Bowling, Nicholas Abou Risk, Nolan Bard...
GECCO
2009
Springer
16 years 1 months ago
Evolution of team composition in multi-agent systems
Evolution of multi-agent teams has been shown to be an effective method of solving complex problems involving the exploration of an unknown problem space. These autonomous and het...
Joshua Rubini, Robert B. Heckendorn, Terence Soule
FCCM
2009
IEEE
147views VLSI» more  FCCM 2009»
15 years 10 months ago
FPGA Accelerated Simulation of Biologically Plausible Spiking Neural Networks
Artificial neural networks are a key tool for researchers attempting to understand and replicate the behaviour and intelligence found in biological neural networks. Software simul...
David Thomas, Wayne Luk
ATAL
2010
Springer
15 years 6 months ago
Verifying agents with memory is harder than it seemed
ATL+ is a variant of alternating-time temporal logic that does not have the expressive power of full ATL , but still allows for expressing some natural properties of agents. It ha...
Nils Bulling, Wojciech Jamroga