Forward chaining is a method of reasoning that involves using available data and inference rules to extract more data until a goal is reached. It is commonly used in expert systems, business, and production rule systems. Inference engines using forward chaining search for known true antecedents in inference rules to infer the consequent and add new information to their data.
Carnegie Mellon University
Fall 2021
This undergraduate course introduces students to constructive logics such as intuitionistic and linear logic, focusing on their use in computer science. The goal is to understand the distinction between classical and constructive logic, define logical connectives, implement theorem provers, and explore computational interpretations of logics. Concepts covered include natural deduction, sequent calculus, logic programming, linear logic, and many more.
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