Abstract
When we consider the advanced Information and Communication Technology (ICT), it has appeared to be useful to know deeply about life by recent studies.
In this chapter (and the latter half part of Chap. 5), several cases for ICT researchers and practitioners to develop the better ICT will be explained. Here, these cases include:
-
Brain structure and functions as one of the by-products of biological evolution, and various information processing models with the time and space structure derived from brain.
-
Genetic algorithm as a model of biological evolution itself, and evolutionary computation algorithm as an extended form of it.
-
Algorithm as a model of cell metabolism in the early stage of biological evolution.
-
Algorithm based on a model of sexual selection.
-
A useful guideline for constructing a future ICT society which can be obtained by the survey results of trend in recent complex network science (described in the latter half part of Chap. 5).
Where the world ceases to be the scene of our personal hopes and wishes, where we face it as free beings admiring, asking and observing, there we enter the realm of Art and Science.
—Albert Einstein
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
H. Simon, Neural Networks and Leaning Machines, 3rd edn. (Prentice Hall, Upper Saddle River, 2008)
M.A. Arbib (ed.), The Handbook of Brain Theory and Neural Networks (MIT Press, Cambridge, 2006)
R.S. Sutton, G.B. Andrew, Reinforcement Learning––An Introduction (Adaptive Computation and Machine Learning) (MIT Press, Cambridge, 1998)
A. Waibel, in Phoneme Recognition Using Time-Delay Neural Networks, Report of Speech Committee SP87-100 (December 1987), pp. 19–24
A. Waibel, H. Sawai, K. Shikano, Modularity and scaling in large phonemic neural networks. IEEE Trans. ASSP 37(12), 1888–1898 (1989)
S. Nakamura, H. Sawai, Performance comparison of neural network architecture for speaker-independent phoneme recognition. Trans. IEICE D-II J74-D-II(10), 1361–1369 (1991)
K. Fukuzawa, Y. Komori, H. Sawai, M. Sugiyama, A Segment-Based Speaker Adaptation Neural Network Applied to Continuous Speech Recognition. in Proceeding of the ICASSP’92, San Francisco, vol. 1 (March, 1992), pp. 433–436
H. Sawai, Frequency-Time-Shift-Invariant Time-Delay Neural Networks for Robust Continuous Speech Recognition. in Proceedings of the ICASSP’91, Toronto, S2.1, vol. 1 (May 1991), pp. 45–48
H. Sawai, Axially Symmetric Neural Network Architecture for Rotation-Invariant Pattern Recognition. in IEEE, WCCI (World Congress on Computational Intelligence), Proceedings of the IEEE ICNN’94, vol. 7 (June–July 1994), pp. 4253–4258
C. Darwin, On the Origin of Species by Means of Natural Selection or the Preservation of Favored Races in the Struggle for Life (John Murray, London, 1859)
J.H. Holland, Adaptation in Natural and Artificial System (The University of Michigan Press, Ann Arbor, 1975)
H. Sawai, S. Kizu, T. Endo, Parameter-free genetic algorithm (PfGA), Tech. Rep. IEICE J81-D-II(2), 450–452 (1998)
K. Wada, H. Doi, S. Tanaka, Y. Wada, M. Fu-rusawa, A neo-Darwinian algorithm: asymmetrical mutations due to semi-conservative DNA-type replication promote evolution. Proc. Natl. Acad. Sci. USA 90, 11934–11938 (1993)
S. Adachi, H. Sawai, Effects of migration methods in parallel distributed parameter-free genetic algorithm. Trans. IEICE D-I J83-D-I(8) 834–843 (2000)
S. Adachi, H. Sawai, Evolutionary computation method inspired by gene-duplication: application to functional optimization. J. IPSJ 42(11), 2663–2671 (2001)
S. Ohno, Evolution by Gene Duplication (Springer, New York, 1970)
S. Ohno, Seimei no Tanjo to Shinka (The Birth and Evolution of Life) (University of Tokyo Press, Tokyo, 1988)
S. Ohno, Ooinaru Kasetsu—DNA karano Messeji (The Great Hypothesis: Messages from DNA) (Yodosha, Tokyo, 1991)
K. Omori, Y. Fujiwara, S. Maekawa, H. Sawai, S. Kitamura, Evolutionary computation based on sexual selections driving asymmetrical mutation. J. Inst. Syst. Control Inf. Eng. 15(8), 422–429 (2002)
M. Hasegara, Why is the Male Peacock Beautiful? (Kinokuniya Shoten, Tokyo, 1992)
Y. Iwasa, Introduction to Mathematical Biology––Investigating the Dynamics in Biological Society (Kyoritsu Shuppan, Tokyo, 1998)
H. Suzuki, H. Sawai, W. Piaseczny, Chemical genetic algorithms––evolutionary optimization of binary-to-real-value translation in GAs. J. Artif. Life 12, 1–27, (2006)
W. Piaseczny, H. Suzuki, H. Sawai, Chemical genetic programming––evolutionary optimization of the genotype-to-phenotype translation set. J. Artif. Life Robot. 9, 202–208 (2006)
C.S. Chan, J.C. Tay, H. Sawai, Discovering Pursuit and Evasion Strategies for a Bounded Environment with Two Obstacles. in Proceedings of the Third International Conference for Computational Intelligence, Robotics and Autonomous systems (CIRAS 2005) (Singapore, 13–16th December, 2005)
McCulloch, W. Pitts, A logical calculus of the ideas immanent in nervous activity. Bull. Math. Biophys. 7, 115–133 (1943)
D. Rumelhart, J. L. McCleland, et al., Parallel Distributed Processing, vol. 1 (MIT Press, Cambridge, 1986)
K. Wada, Dejitaru Seimei no Shinka (The Evolution of Digital Life). in Iwanami Kagaku Raiburari 11 (Iwanami Chemistry Library 11) (Iwanami Shoten, Tokyo, 1994)
D.E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning (Addison-Wesley Professional, New York, 1989)
D.E. Goldberg, Genetic Algorithms: The Design of Innovation (Springer, New York, 2009)
H. Sawai, S. Kizu, in Parameter-free Genetic Algorithm Inspired by Disparity Theory of Evolution. Lecture Notes in Computer Science, vol. 1498 (Springer, New York, 1998)
M. Furusawa, H. Doi, Promotion of evolution: disparity in the frequency of strand-specific misreading between the lagging and leading DNA strands enhances disproportionate accumulation of mutation. J. Theo. Biol. 157, 127–133 (1992)
Chiba Bio Network, http://www.chibabio.net/comp/comp_07.html
M. Furusawa, Shinka wa Isshun de Okiru—Tainai ni Yadoru Shinka no Chikara (Evolution Occurs in an Instant—Evolutional Power inside the Body), Seimeishi (Biohistory), no. 31 (2001). http://www.brh.co.jp/seimeishi/1993-2002/31/ss_5.html
Seibutsugaku Jiten (Dai 4 Han) Idenshi Chofuku (Dictionary of Biology, 4th edn.), Gene Duplication), (Iwanami Shoten, Tokyo, 2000), p. 77
C. Darwin, The Descent of Man and Selection in Relation to Sex, Volume 1 of the Japanese translation by Mariko Hasegawa, Ningen no Shinka to Sei Tota I (Bun-ichi Co. Ltd., 1999, Japan)
C. Darwin, The Descent of Man and Selection in Relation to Sex, Volume 2 of the Japanese translation by Mariko Hasegawa, Ningen no Shinka to Sei Tota II (Bun-ichi Co. Ltd., Japan, 2000)
M. Hasegawa, Osu to Mesu no Kazu wo Meguru Fushigi (Wonders about Numbers between Males and Females) (NTT Publishing Co. Ltd., Tokyo, 1996)
M. Hasegawa, Osu to Mesu—Sei wa Naze Aruka (Males and Females—Why Sex Exists) (NHK Human University, Japan, 1997)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Sawai, H. (2011). Reconsidering Information and Communications Technology from Life. In: Sawai, H. (eds) Biological Functions for Information and Communication Technologies. Studies in Computational Intelligence, vol 320. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15102-6_1
Download citation
DOI: https://doi.org/10.1007/978-3-642-15102-6_1
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15101-9
Online ISBN: 978-3-642-15102-6
eBook Packages: EngineeringEngineering (R0)