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  1. As well as improving our capabilities in modeling and simulating systems, it is important to look at how, with the use of intelligent systems, wemight better control the complex systems being modeled.

  2. Narrow AI is intelligent systems for one particular thing, e.g., speech or facial recognition. Human-level AI, or Artificial General Intelligence (AGI), seeks broadly intelligent, context-aware machines. It is needed for effective social chatbots or human-robot interaction. Human-Centered Artificial Intelligence is

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  3. The main purpose of this paper is to present a characterization of an intelligent system that integrates and updates previous conceptions of such type of system. It follows a pragmatic approach to be useful in an engineering context as a general framework to analyze and build intelligent systems.

    • Martin Molina
  4. AI refers to systems that display intelligent behaviour by analysing their environment and taking action – with some degree of autonomy – to achieve specific go als. Since AI refers to so many techniques and contexts, greater precision is required in order to hold meaningful and constructive debates about it.

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  5. Mar 22, 2020 · PDF | Together with the disruptive development of modern sub-symbolic approaches to artificial intelligence (AI), symbolic approaches to classical AI... | Find, read and cite all the research...

  6. Jan 31, 2023 · If we want to embed AI in society, we need to understand what it is. What do we mean by artificial intelligence? How has the technology developed? Where do we stand now?

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  8. Abstract. A so-called intelligent system gives appropriate problem-solving responses to problem inputs, even if such inputs are new and unexpected. Such behavior is “novel” or “creative”.

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