Evolutionary checkers
Article Abstract:
New research claims that it is possible for evolutionary methods to develop machine intelligence without being programmed. Some of the generality of this principle has been demonstrated in games including checkers. In this case, the researchers used a population of 15 neural networks with randomly selected weights and the 'offspring' of these parent networks containing a variation of the parents' weights. The network had to evaluate board images, with playing taking place along Bell Laboratories engineer Claude Shannon's minimax lines.
Publication Name: Nature
Subject: Zoology and wildlife conservation
ISSN: 0028-0836
Year: 1999
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Functional cartography of complex metabolic networks
Article Abstract:
A methodology that enables one to extract and display information contained in complex networks is proposed. It is demonstrated that functional modules can be found in complex networks, and nodes can be classified into universal roles according to their pattern of intra- and inter-molecule connections.
Publication Name: Nature
Subject: Zoology and wildlife conservation
ISSN: 0028-0836
Year: 2005
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How robust is the Internet?
Article Abstract:
The Internet is discussed with reference to its strength and vulnerability. The importance of networks in our lives and measures which can be taken to safeguard it are presented.
Publication Name: Nature
Subject: Zoology and wildlife conservation
ISSN: 0028-0836
Year: 2000
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