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2. 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]

3. Symbolic artificial intelligence - Wikipedia

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

   An innovation of BB1 was to apply the same blackboard model to solving its control problem, i.e., its controller performed meta-level reasoning with knowledge sources that monitored how well a plan or the problem-solving was proceeding and could switch from one strategy to another as conditions – such as goals or times – changed.

4. 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]

5. 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.

6. 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

7. Google DeepMind AI software makes a breakthrough in solving ...

   www.aol.com/finance/google-deepmind-ai-software...

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8. Knowledge representation and reasoning - Wikipedia

   en.wikipedia.org/wiki/Knowledge_representation...

   Many of the early approaches to knowledge represention in Artificial Intelligence (AI) used graph representations and semantic networks, similar to knowledge graphs today. In such approaches, problem solving was a form of graph traversal [2] or path-finding, as in the A* search algorithm. Typical applications included robot plan-formation and ...

9. Soar (cognitive architecture) - Wikipedia

   en.wikipedia.org/wiki/Soar_(cognitive_architecture)

   Soar [1] is a cognitive architecture, [2] originally created by John Laird, Allen Newell, and Paul Rosenbloom at Carnegie Mellon University.. The goal of the Soar project is to develop the fixed computational building blocks necessary for general intelligent agents – agents that can perform a wide range of tasks and encode, use, and learn all types of knowledge to realize the full range of ...