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Symbolic logic reasoning

Skill siddhu1716/LearnKit/skills/coding/symbolic_logic_reasoning

LIA Labs / Learnkit - "Make your AI agents Learn Improve and Adapt".

Install
npx -y skills add siddhu1716/LearnKit --skill symbolic_logic_reasoning

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SKILL.md

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Symbolic Logic Reasoning

When to use this skill

Solve Symbolic Logic Reasoning (SLR) tasks, specifically formulating a Prolog rule to classify eastbound vs. westbound trains based on their composition.

Approach

  1. Analyze Train Composition: Review the ground facts (like has_car, car_color, car_len, has_wall) for positive (eastbound) and negative (westbound) examples.
  2. Find Mappings: Locate a property or combination of properties that is true for all eastbound trains and false for all westbound trains.
  3. Formulate Prolog Rule: Formulate the rule as eastbound(T) :- Body. (e.g. eastbound(Train) :- has_car(Train, Car), car_len(Car, short).).
  4. Minimize Body Literals: Make the rule body as short and general as possible without sacrificing accuracy.

Known constraints

  • The rule must perfectly separate positive and negative examples.
  • Must use only predefined predicates and constants.

Examples

Good rule pattern

eastbound(Train):- has_car(Train, Car1), car_color(Car1, yellow).

Keep looking

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