Associative Learning For A Robot Intelligence is popular PDF and ePub book, written by John H Andreae in 1998-09-22, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Associative Learning For A Robot Intelligence can be Read Online from any device for your convenience.
Associative Learning For A Robot Intelligence Book PDF Summary
The explanation of brain functioning in terms of the association of ideas has been popular since the 17th century. Recently, however, the process of association has been dismissed as computationally inadequate by prominent cognitive scientists. In this book, a sharper definition of the term “association” is used to revive the process by showing that associative learning can indeed be computationally powerful. Within an appropriate organization, associative learning can be embodied in a robot to realize a human-like intelligence, which sets its own goals, exhibits unique unformalizable behaviour and has no hidden homunculi.Some believe that artificial intelligence is undergoing a paradigm shift. There are undoubtedly several competing ideas and ideals. Neural networks and dynamic systems are offered as alternatives to the information processing and digital computer models of the brain. One is asked to decide between symbolic and subsymbolic, between algorithmic and nonalgorithmic, and between information processing and interactive systems. Even in the short distance travelled in this book, associative learning is seen to embrace both sides of these dichotomies.
Detail Book of Associative Learning For A Robot Intelligence PDF
- Author : John H Andreae
- Release : 22 September 1998
- Publisher : World Scientific
- ISBN : 9781783262236
- Genre : Computers
- Total Page : 360 pages
- Language : English
- PDF File Size : 20,5 Mb
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