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Learn about artificial intelligence (AI), the field of computer science that develops and studies methods and software that enable machines to perceive and act in their environment. Explore the major goals, techniques, applications, and challenges of AI, as well as its origins and development over time.
Problem solving is the process of achieving a goal by overcoming obstacles, ranging from simple personal tasks to complex issues in various fields. The web page explains the different types, methods, and approaches of problem solving in psychology, cognitive sciences, computer science, and logic.
Natural language processing (NLP) is a subfield of computer science and artificial intelligence that deals with processing data in natural language. Learn about the history, tasks, methods and applications of NLP, from symbolic to neural approaches.
Learn about the field of artificial intelligence (AI) that represents information about the world in a form that a computer system can use to solve complex tasks. Explore the history, examples, and formalisms of knowledge representation and reasoning, such as semantic nets, frames, rules, logic programs and ontologies.
Learn about heuristic techniques for problem solving in computer science, such as greedy algorithms, search algorithms, and antivirus software. Find out the definition, motivation, trade-off, examples, and pitfalls of heuristics.
General Problem Solver (GPS) is a 1957 computer program that can solve problems expressed as well-formed formulas or Horn clauses. It uses means–ends analysis and heuristics to find subgoals and solutions, but has limited applicability due to combinatorial explosion.
Expert systems are computer systems that use knowledge-based approaches to solve complex problems by reasoning through rules. They were among the first successful forms of AI software in the 1970s and 1980s, and were widely used in various domains such as medicine, law, and design.
STRIPS is a formal language for expressing planning problems and solutions, developed by Richard Fikes and Nils Nilsson in 1971. It consists of a set of conditions, actions, and states, and can be extended to deal with partially known initial states and macro operators.
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