17806019. REASONING WITH REAL-VALUED FIRST ORDER LOGIC AND PROBABILITY INTERVALS simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)
Contents
REASONING WITH REAL-VALUED FIRST ORDER LOGIC AND PROBABILITY INTERVALS
Organization Name
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor(s)
REASONING WITH REAL-VALUED FIRST ORDER LOGIC AND PROBABILITY INTERVALS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17806019 titled 'REASONING WITH REAL-VALUED FIRST ORDER LOGIC AND PROBABILITY INTERVALS
Simplified Explanation
The patent application describes a method for improving routing in a computing system using a processor. Here are the key points:
- The method converts all first-order logic formulas into real-valued logic formulas.
- It executes a probabilistic inference using the real-valued logic formulas and probability intervals associated with atomic formulas in a knowledge base.
- The result is an interval conditional probability that indicates the likelihood of a first predicate condition being true based on the truth of one or more alternative predicates.
Potential applications of this technology:
- Enhanced routing in computer networks
- Intelligent decision-making systems
- Natural language processing and understanding
- Machine learning algorithms
Problems solved by this technology:
- Inefficient routing in computing systems
- Difficulty in handling complex logic formulas
- Lack of probabilistic reasoning in traditional routing algorithms
Benefits of this technology:
- Improved accuracy and efficiency in routing decisions
- Enhanced ability to handle complex logic and probabilistic reasoning
- Better decision-making capabilities in various applications
Original Abstract Submitted
Embodiments are provided for providing enhanced routing in a computing system by a processor. All first-order logic formulas may be converted into real-valued logic formulas. A probabilistic inference is executed using the real-valued logic formulas and one or more probability intervals associated with an atomic formulae in a knowledge base to provide an interval conditional probability indicating that a first predicate condition is true based one or more alternative predicates being true.
