NDLI: Evolvability limits: a case study concerning the modular evolvable capacities (MECs) of a new neural net model for a second generation brain building machine BM2

Content Provider	IEEE Xplore Digital Library
Author	de Garis, H.
Copyright Year	2002
Description	Author affiliation: Dept. of Comput. Sci., Utah State Univ., Logan, UT, USA (de Garis, H.)
Abstract	This paper concerns a case study of the limits to which desirable properties can be evolved in a particular kind of neural network circuit (module). It has been the decade long dream of the author to evolve neural network modules in their 10,000s at electronic speeds in special evolvable hardware, and then to assemble them into a gigabyte of memory to build artificial brains. But such an dream is only realizable if the (modular) evolvable capacities (MECs) of such modules (i.e. a qualitative and quantitive measure of the quality of the evolution) are sufficiently high to make the effort worthwhile. This paper shows how the evolvable capacities of a module using a new neural network model (called DePo) was stretched to its limits. This paper makes the claim that evolutionary engineering is all about "pushing up MECs".
Sponsorship	IEEE IEEE Neural Networks Soc. IEE Evolutionary Programming Soc
Starting Page	454
Ending Page	459
File Size	686157
Page Count	6
File Format	PDF
ISBN	0780372824
DOI	10.1109/CEC.2002.1006277
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-05-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biological neural networks Artificial neural networks Circuits Hardware Computer science Field programmable gate arrays Read-write memory Robotic assembly Brain modeling Cellular phones
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Evolvability limits -- a case study concerning. (2002).

Evolvability limits: a case study concerning the modular evolvable capacities (MECs) of a new neural net model for a second generation brain building machine BM2

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