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This is a rule-based logic system that uses forward- and backward-chaining algorithms to do two things: 1.) learn new rules and variable values based on those previously learned by the system, and 2.) explain its reasoning back to the user.
mattkearns/expert-system-shell
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Halal-Bot Is Smarter Than You! Authors: Matthew Kearns and Ahmed Youssef. Brief Explanation: This is a simple expert system that learns information to answer questions about its behavior. It uses forward-chaining to learn new rules given user-supplied rules and variables (either root or learned), and it uses backward-chaining to create explanations for its behavior given the values of the variables in the system and the learned rules. The difference between a root variable and a learned variable: A root variable is a variable whose truth value is known by the user, and the user can set its value to either true or false. The truth value of a learned variable, however, depends on the rules of the system and the values of the root variables that it depends on. Usage Instructions: 1. Teach [-R/-L] Var = String Teaches the system the type and value of a variable. 2. Teach Var = [True/False] Teaches the system the truth value of the variable. 3. Teach Expression -> Var Teaches the system a new rule. 4. List Lists the values of all root and learned variables, and lists all of the current rules and learned rules in the system. 5. Learn Creates new rules based on rules already supplied in the system and updates the truth values of the variables based on the rules. 6. Query Expression Query returns the truth value of the expression based on all of the current rules and variables in the system. 7. Why Expression Why gives an explanation of why the user-supplied expression is true or false given the current rules and variable values held by the system. Key: -R = root variable -L = learned variable Var = user-defined variable name String = A string of the form "Today is Monday" or "Matt likes ice cream" Expression = Any valid expression of the form A&B->C or (!((A|B))&C)->D
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This is a rule-based logic system that uses forward- and backward-chaining algorithms to do two things: 1.) learn new rules and variable values based on those previously learned by the system, and 2.) explain its reasoning back to the user.
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