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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.
- Format: Pocket/Paperback
- ISBN: 9783838311302
- Språk: Engelska
- Antal sidor: 208
- Utgivningsdatum: 2010-05-21
- Förlag: LAP Lambert Academic Publishing