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  2. Stanford Research Institute Problem Solver - Wikipedia

    en.wikipedia.org/wiki/Stanford_Research...

    The Stanford Research Institute Problem Solver, known by its acronym STRIPS, is an automated planner developed by Richard Fikes and Nils Nilsson in 1971 at SRI International. [1] The same name was later used to refer to the formal language of the inputs to this planner.

  3. Means–ends analysis - Wikipedia

    en.wikipedia.org/wiki/Means–ends_analysis

    Means–ends analysis [1] (MEA) is a problem solving technique used commonly in artificial intelligence (AI) for limiting search in AI programs.. It is also a technique used at least since the 1950s as a creativity tool, most frequently mentioned in engineering books on design methods.

  4. General Problem Solver - Wikipedia

    en.wikipedia.org/wiki/General_Problem_Solver

    General Problem Solver (GPS) is a computer program created in 1957 by Herbert A. Simon, J. C. Shaw, and Allen Newell (RAND Corporation) intended to work as a universal problem solver machine. In contrast to the former Logic Theorist project, the GPS works with means–ends analysis .

  5. Symbolic artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Symbolic_artificial...

    In artificial intelligence, symbolic artificial intelligence (also known as classical artificial intelligence or logic-based artificial intelligence) [1] [2] is the term for the collection of all methods in artificial intelligence research that are based on high-level symbolic (human-readable) representations of problems, logic and search. [3]

  6. Mathematics of artificial neural networks - Wikipedia

    en.wikipedia.org/wiki/Mathematics_of_artificial...

    An artificial neural network (ANN) combines biological principles with advanced statistics to solve problems in domains such as pattern recognition and game-play. ANNs adopt the basic model of neuron analogues connected to each other in a variety of ways.

  7. Distributed artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Distributed_artificial...

    Distributed Artificial Intelligence (DAI) is an approach to solving complex learning, planning, and decision-making problems. It is embarrassingly parallel, thus able to exploit large scale computation and spatial distribution of computing resources. These properties allow it to solve problems that require the processing of very large data sets.

  8. Allen Newell - Wikipedia

    en.wikipedia.org/wiki/Allen_Newell

    He contributed to the Information Processing Language (1956) and two of the earliest AI programs, the Logic Theorist (1956) and the General Problem Solver (1957) (with Herbert A. Simon). He was awarded the ACM's A.M. Turing Award along with Herbert A. Simon in 1975 for their contributions to artificial intelligence and the psychology of human ...

  9. Planning Domain Definition Language - Wikipedia

    en.wikipedia.org/wiki/Planning_Domain_Definition...

    The problem description includes the initial state and the goals to be accomplished. The example below gives a domain definition and a problem description instance for the automated planning of a robot with two gripper arms. PDDL becomes the input to planner software, which is usually a domain-independent Artificial Intelligence (AI) planner.

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