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  2. Stanford Research Institute Problem Solver - Wikipedia

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

    The function can be extended to sequences of actions by the following recursive equations: ⁡ (, [ ]) = ⁡ (, [,, …,]) = ⁡ (⁡ (,), [, …,]) A plan for a STRIPS instance is a sequence of actions such that the state that results from executing the actions in order from the initial state satisfies the goal conditions.

  3. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]

  4. Neats and scruffies - Wikipedia

    en.wikipedia.org/wiki/Neats_and_scruffies

    In the history of artificial intelligence (AI), neat and scruffy are two contrasting approaches to AI research. The distinction was made in the 1970s, and was a subject of discussion until the mid-1980s. [1] [2] [3] "Neats" use algorithms based on a single formal paradigm, such as logic, mathematical optimization, or neural networks. Neats ...

  5. AI death calculator can predict when you'll die... with eerie ...

    www.aol.com/news/ai-death-calculator-predict...

    Artificial intelligence can help provide plenty of answers, even to things you may not want to know. An AI death calculator can now tell you when you’ll die — and it’s eerily accurate.

  6. AI-complete - Wikipedia

    en.wikipedia.org/wiki/AI-complete

    In the field of artificial intelligence (AI), tasks that are hypothesized to require artificial general intelligence to solve are informally known as AI-complete or AI-hard. [1] Calling a problem AI-complete reflects the belief that it cannot be solved by a simple specific algorithm.

  7. Generative AI can’t shake its reliability problem. Some say ...

    www.aol.com/finance/generative-ai-t-shake...

    Neural vs. symbolic AI. The history of artificial intelligence is one of an almost sectarian struggle between opposing approaches to solving the challenge of creating machines that could learn and ...

  8. A* search algorithm - Wikipedia

    en.wikipedia.org/wiki/A*_search_algorithm

    The algorithm continues until a removed node (thus the node with the lowest f value out of all fringe nodes) is a goal node. [b] The f value of that goal is then also the cost of the shortest path, since h at the goal is zero in an admissible heuristic. The algorithm described so far only gives the length of the shortest path.

  9. Artificial intelligence engineering - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence...

    Artificial intelligence engineering (or AI engineering) is a technical discipline that focuses on the design, development, and deployment of AI systems. AI engineering involves applying engineering principles and methodologies to create scalable, efficient, and reliable AI-based solutions.

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