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used in rule-based systems in Artificial Intelligence. The forward chaining is Figure 2: Graph representation of forward chaining from starting premise node. Oct 30, 2018 - Forward Chaining and backward chaining in AI with Tutorial, Introduction, History of Artificial Intelligence, AI, AI Overview, Application of AI, Types of AI, What is0601034. 220. Artificial Intelligence Using Forward Chaining and Backward Chaining. Kajal Jaisinghani1. Assistant Professor, Department of Computer Science, 16239-16242 Comparative Study of Forward and Backward Chaining in Artificial Intelligence Namarta Kapoor 1, Nischay Bahl2 Post Graduate Department of Department of Computer Science and Artificial Intelligence. University by designing P systems reproducing forward and backward chaining which can be used. are two reasoning strategies in expert system, which have become the major practical application of artificial intelligence research: forward chaining and 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. ule. KE&BI: Forward & Backward Chaining Example of a Declarative Knowledge Base Derive all grandparent and sibling relationships (forward chaining). Department of Software Systems. OHJ-2556 Artificial Intelligence, Spring 2011. 24.2.2011. 9.3 Forward Chaining. • As before, let us consider knowledge bases