Outline of artificial intelligence explained

The following outline is provided as an overview of and topical guide to artificial intelligence:

Artificial intelligence (AI) is intelligence exhibited by machines or software. It is also the name of the scientific field which studies how to create computers and computer software that are capable of intelligent behaviour.

AI algorithms and techniques

Search

Optimization search

Logic

Other symbolic knowledge and reasoning tools

Symbolic representations of knowledge

Unsolved problems in knowledge representation

Probabilistic methods for uncertain reasoning

Classifiers and statistical learning methods

Artificial neural networks

Biologically based or embodied

Cognitive architecture and multi-agent systems

Philosophy

See main article: Philosophy of AI.

Definition of AI

Classifying AI

Goals and applications

See main article: Applications of artificial intelligence.

General intelligence

Reasoning and Problem Solving

Knowledge representation

Planning

Learning

Natural language processing

Perception

Robotics

Control

Social intelligence

Game playing

Creativity, art and entertainment

Integrated AI systems

Intelligent personal assistants

Intelligent personal assistant  -

Other applications

History

History by subject

Future

Fiction

Artificial intelligence in fiction – Some examples of artificially intelligent entities depicted in science fiction include:

AI community

Open-source AI development tools

Projects

List of artificial intelligence projects

Competitions and awards

Competitions and prizes in artificial intelligence

Publications

Organizations

Companies

Artificial intelligence researchers and scholars

1930s and 40s (generation 0)

1950s (the founders)

1960s (their students)

1970s

1980s

1990s

2000s on

See also

References

Bibliography

External links

Notes and References

  1. Book: Holland, John H.. none. Adaptation in Natural and Artificial Systems. University of Michigan Press. 1975. 978-0-262-58111-0. registration.
  2. Book: Koza, John R.. none. Genetic Programming (On the Programming of Computers by Means of Natural Selection). MIT Press. 1992. 978-0-262-11170-6. 1992gppc.book.....K.
  3. Book: none. Poli. R.. A Field Guide to Genetic Programming. Langdon. W. B.. McPhee. N. F.. Lulu.com. 2008. 978-1-4092-0073-4. gp-field-guide.org.uk.
  4. Book: none. Daniel Merkle. Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques. Martin Middendorf. 2013. Springer Science & Business Media. 978-1-4614-6940-7. Burke. Edmund K.. en. Swarm Intelligence. Kendall. Graham.
  5. v
  6. News: What is 'fuzzy logic'? Are there computers that are inherently fuzzy and do not apply the usual binary logic?. en. Scientific American. 5 May 2018.
  7. places this under "uncertain reasoning"
  8. Book: Poole. David. Computational Intelligence: A Logical Approach. Mackworth. Alan. Goebel. Randy. Oxford University Press. 1998. 978-0-19-510270-3. New York. David Poole (researcher). Alan Mackworth. Randy Goebel. 335–337.
  9. Breadth of commonsense knowledge:
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  10. [Sepp Hochreiter|Hochreiter, Sepp]
  11. Hinton. G. E.. 2007. Learning multiple layers of representation. Trends in Cognitive Sciences. 11. 10. 428–434. 10.1016/j.tics.2007.09.004. 17921042. 15066318.
  12. News: 10 January 2018. Artificial intelligence can 'evolve' to solve problems. en. Science AAAS. 7 February 2018.
  13. [Developmental robotics]
  14. News: The 6 craziest robots Google has acquired . Business Insider . 2018-06-13.
  15. Web site: Letzing. John. Google Hires Famed Futurist Ray Kurzweil. The Wall Street Journal. 2012-12-14. 2013-02-13.
  16. News: Google's Lab of Wildest Dreams. New York Times. Claire Miller and Nick Bilton. 3 November 2011.