The spelling of "automated reasoning" is pronounced as /ˈɔː.tə.meɪ.tɪd ˈriː.zə.nɪŋ/. The first syllable /ˈɔː.tə/ is pronounced as "aw-tuh," the second syllable /meɪ.tɪd/ is pronounced as "may-tid," and the last syllable /ˈriː.zə.nɪŋ/ is pronounced as "ree-zuh-ning." The word "automated" means it is controlled by a computer, and the word "reasoning" refers to the process of thinking about something logically. Thus, automated reasoning describes the computer-controlled processes that involve logical reasoning.
Automated reasoning is a field of computer science that focuses on developing algorithms and systems capable of performing logical reasoning and inference tasks automatically, without human intervention. It involves the use of computer programs to reason about various forms of knowledge, such as mathematical formulas, logical rules, and facts, in order to derive new knowledge or verify the correctness of existing knowledge.
In automated reasoning, a knowledge base is typically represented using formal logic, which provides a precise and well-defined structure for representing propositions and relationships between them. The knowledge base may include axioms, definitions, and queries that describe the domain of interest. By applying logical inference rules and algorithms, automated reasoning systems can automatically deduce or verify new propositions based on the information in the knowledge base.
Automated reasoning finds applications in various fields, including verification of software and hardware designs, theorem proving, program analysis, artificial intelligence, and knowledge representation. It allows for efficient and reliable reasoning, which can be far more effective and accurate than manual reasoning due to the elimination of human errors and biases.
The methods and techniques used in automated reasoning include propositional and first-order logic, satisfiability checking, model checking, proof theory, and constraint solving. These tools and algorithms enable computers to process and manipulate large amounts of logical information quickly and accurately, making automated reasoning an invaluable tool for analyzing complex systems and solving intricate problems.
The etymology of the word "automated reasoning" can be broken down as follows:
1. Auto-: It is a prefix derived from the Greek word "autos", meaning "self" or "same". In the context of "automated reasoning", it indicates a process or system that operates independently or self-sufficiently.
2. -mated: This suffix comes from the Latin word "matus", meaning "required" or "obliged". When combined with the prefix "auto-", it forms "automated", suggesting a process that happens without external intervention or control.
3. Reasoning: The word "reasoning" originates from the Old French term "rason", which comes from the Latin word "ratio", meaning "reckoning" or "calculation". It refers to the mental process of thinking and drawing logical conclusions based on facts, information, or evidence.