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Computational Networks and Competition-Based Models: Solving Complex Causal Interactions - Tapa blanda

Ben Romdhane, Lotfi

 
9783838311302: Computational Networks and Competition-Based Models: Solving Complex Causal Interactions

Sinopsis

Reasoning is a cognitive task ubiquitous everywhere: diagnosis, planning, scientific theory formation, speech understanding, etc. Unfortunately, solving reasoning problems is still difficult for most advanced machines since it is NP-Complete. The use of artificial intelligence techniques, and especially neural networks, seems to be a promising direction which can solve these problems to a satisfactory level and in reasonable time scales. In this thesis, we distinguish two categories of causal reasoning; namely cause-to-effect and effect-to- cause. Then, we propose algorithms to solve both categories and compare their performance with already existing proposals in the scientific literature.

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Reseña del editor

Reasoning is a cognitive task ubiquitous everywhere: diagnosis, planning, scientific theory formation, speech understanding, etc. Unfortunately, solving reasoning problems is still difficult for most advanced machines since it is NP-Complete. The use of artificial intelligence techniques, and especially neural networks, seems to be a promising direction which can solve these problems to a satisfactory level and in reasonable time scales. In this thesis, we distinguish two categories of causal reasoning; namely cause-to-effect and effect-to- cause. Then, we propose algorithms to solve both categories and compare their performance with already existing proposals in the scientific literature.

Biografía del autor

Dr. Lotfi received the eng. degree from ENSI, Tunisia, in 1994; and the Ph.D. degree from the Un. of Sherbrooke, QC, Canada, in 2000, with excellent honors; both in computer sciences. He was awarded the CIDA Doctoral fellowship from 1995 to 2000. His areas of expertise include Reasoning, Data Mining Algorithms, and Image Indexing.

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