Artificial wisdom

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Artificial wisdom is a software system that can demonstrate one or more qualities of being wise.

Artificial wisdom can be described as artificial intelligence reaching the top-level of decision-making when confronted with the most complex challenging situations. [1] The term artificial wisdom is used when the "intelligence" is based on more than by chance collecting and interpreting data, but by design [2] enriched with smart and conscience strategies that wise people would use. [3]

When examining computer-aided wisdom; the partnership of artificial intelligence and contemplative neuroscience, concerns regarding the future of artificial intelligence shift to a more optimistic viewpoint. [4] This artificial wisdom forms the basis of Louis Molnar's monographic article on artificial philosophy, where he coined the term and proposes how artificial intelligence might view its place in the grand scheme of things. [5]

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<span class="mw-page-title-main">Marvin Minsky</span> American cognitive scientist (1927–2016)

Marvin Lee Minsky was an American cognitive and computer scientist concerned largely with research of artificial intelligence (AI), co-founder of the Massachusetts Institute of Technology's AI laboratory, and author of several texts concerning AI and philosophy.

Fuzzy logic is a form of many-valued logic in which the truth value of variables may be any real number between 0 and 1. It is employed to handle the concept of partial truth, where the truth value may range between completely true and completely false. By contrast, in Boolean logic, the truth values of variables may only be the integer values 0 or 1.

<span class="mw-page-title-main">Lotfi A. Zadeh</span> American electrical engineer and computer scientist (1921–2017)

Lotfi Aliasker Zadeh was a mathematician, computer scientist, electrical engineer, artificial intelligence researcher, and professor of computer science at the University of California, Berkeley. Zadeh is best known for proposing fuzzy mathematics, consisting of several fuzzy-related concepts: fuzzy sets, fuzzy logic, fuzzy algorithms, fuzzy semantics, fuzzy languages, fuzzy control, fuzzy systems, fuzzy probabilities, fuzzy events, and fuzzy information. Zadeh was a founding member of the Eurasian Academy.

<span class="mw-page-title-main">Friendly artificial intelligence</span> AI to benefit humanity

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<span class="mw-page-title-main">Artificial general intelligence</span> Hypothetical human-level or stronger AI

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<span class="mw-page-title-main">Artificial intelligence in healthcare</span> Overview of the use of artificial intelligence in healthcare

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<span class="mw-page-title-main">Explainable artificial intelligence</span> AI in which the results of the solution can be understood by humans

Explainable AI (XAI), also known as Interpretable AI, or Explainable Machine Learning (XML), is artificial intelligence (AI) in which humans can understand the reasoning behind decisions or predictions made by the AI. It contrasts with the "black box" concept in machine learning, where even the AI's designers cannot explain why it arrived at a specific decision.

<span class="mw-page-title-main">Ujjwal Maulik</span> Indian computer scientist (born 1965)

Ujjwal Maulik is an Indian computer scientist and a professor. He is the former chair of the Department of Computer Science and Engineering at Jadavpur University, Kolkata, West Bengal, India. He also held the position of the principal-in-charge and the head of the Department of Computer Science and Engineering at Kalyani Government Engineering College.

References

  1. "Intelligent Decision Making: An AI-Based Approach". Studies in Computational Intelligence. Vol. 97. Springer. 2008. doi:10.1007/978-3-540-76829-6. ISBN   978-3-540-76828-9. ISSN   1860-949X.
  2. Suarez, Juan Francisco (2014). "Wise by Design: A Wisdom-Based Framework for Innovation and Organizational Design and its Potential Application in the Future of Higher Education". Dissertations & Theses Antioch University: 131.
  3. Wang, Feng-Hsu (2011). "Personalized recommendation for web-based learning based on ant colony optimization with segmented-goal and meta-control strategies". 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011). pp. 2054–2059. doi:10.1109/FUZZY.2011.6007628. ISBN   978-1-4244-7315-1. S2CID   33702266.
  4. Karamjit, Gill (2013). "Citizens and netizens: a contemplation on ubiquitous technology". AI & Society. 28 (2): 131–132. doi: 10.1007/s00146-013-0451-5 .
  5. Molnar, Louis (2014). "A Step Beyond AI: Artificial Philosophy". Frontiers in Artificial Intelligence and Applications (10): 131–132. doi: 10.13140/2.1.1124.6085 .

Further reading