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  2. Universal Paperclips - Wikipedia

    en.wikipedia.org/wiki/Universal_Paperclips

    All the while, the AI develops more upgrades to quicken the transformation of Earth's remaining matter. After it has all has been converted to paperclips, the AI sets its sights on all available matter in the universe. In the final act, the player launches self-replicating probes into the cosmos to consume and convert all matter into paperclips.

  3. Multi-agent system - Wikipedia

    en.wikipedia.org/wiki/Multi-agent_system

    The study of multi-agent systems is "concerned with the development and analysis of sophisticated AI problem-solving and control architectures for both single-agent and multiple-agent systems." [17] Research topics include: agent-oriented software engineering; beliefs, desires, and intentions ; cooperation and coordination

  4. 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.

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  6. Open Neural Network Exchange - Wikipedia

    en.wikipedia.org/wiki/Open_Neural_Network_Exchange

    The Open Neural Network Exchange (ONNX) [ˈɒnɪks] [2] is an open-source artificial intelligence ecosystem [3] of technology companies and research organizations that establish open standards for representing machine learning algorithms and software tools to promote innovation and collaboration in the AI sector.

  7. 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]

  8. Instrumental convergence - Wikipedia

    en.wikipedia.org/wiki/Instrumental_convergence

    The Riemann hypothesis catastrophe thought experiment provides one example of instrumental convergence. Marvin Minsky, the co-founder of MIT's AI laboratory, suggested that an artificial intelligence designed to solve the Riemann hypothesis might decide to take over all of Earth's resources to build supercomputers to help achieve its goal. [2]

  9. Blocks world - Wikipedia

    en.wikipedia.org/wiki/Blocks_world

    Toy problems were invented with the aim to program an AI which can solve it. The blocks world domain is an example for a toy problem. Its major advantage over more realistic AI applications is, that many algorithms and software programs are available which can handle the situation. [2] This allows to compare different theories against each other.

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