Forward and Backward Chaining Techniques of Reasoning in Rule-Based Systems
2015
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Advisor: Aliyev Rashad
Abstract (EN)
The forward and backward chaining techniques are well-known reasoning concepts used in rule-based systems in Artificial Intelligence. The forward chaining is data-driven, and the backward chaining is goal-driven reasoning methods. The aim of this thesis is to present the implementation of above concepts. The matching process between facts and rules, and the conflict resolution strategy in forward chaining are used. The depth-first search in both forward and backward chaining is performed. The backtracking process in backward chaining employs the Prolog programming language which is also discussed in this thesis. Some examples for better understanding the forward and backward chaining techniques are provided.
Author
Dr. Bareen Haval Sadiq Mzori
How to Cite
Bareen Haval Sadiq Mzori (Master Thesis). Forward and Backward Chaining Techniques of Reasoning in Rule-Based Systems, 2015, Eastern Mediterranean University, Department of Mathematics.
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