Epistemology of Nature inspired Artificial System

Authors

  • Das A ICFAI Tech School, The ICFAI University, Dehradun, India
  • Singh RK BTKIT, Dwarhat, Almora, Uttarakhand, India

DOI:

https://doi.org/10.26438/ijcse/v7i1.396403

Keywords:

Evolutionary Algorithm, Behavioral System, Artificial Life, Swarm Intelligence, ACO,, PSO

Abstract

The artificial intelligence is one of the most emerging area of research in the field of advance computing, which emphases a new direction of thought known as nature based computing or bio-inspired artificial system. The concept is based on the different organisms such as insect colonies, flock of birds or school of fish. This manuscript is presenting different algorithms which are useful to develop artificial systems by deploying different nature based ideas.

References

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[2] Blum, C. (2015). Springer Handbook of Computational Intelligence. Springer.

[3] Bonabeau, E., Dorigo, M., & Theraulaz, G. (1999). Swarm Intelligence From Natural to Artificial System. Oxford University Press.

[4] Brooks, R. A. (1986). Achieving Artificial Intelligence through building robots. MIT AI Memo 899. Tech. rep., Massachusetts Institute of Technology, Cambridge, MA.

[5] Brooks, R. A. (1991). Intelligence without representation. Artificial Intelligence , 47, 139-159.

[6] Dario Floreano, C. M. (2008). Bio-Inspired Artificial Intelligence Theories, Methods and Technologies. The MIT Press.

[7] Farooq, M. (2009). Bee-Inspired Protocol Engineering From Nature to Network. Springer.

[8] J Kennedy, R. C. (1995). Particle Swarm Optimization. In Proceedings of the 1995 IEEE International Conference on Natural Networks. IEEE Press.

[9] Merkle, C. B. (Ed.). (2008). Swarm Intelligence Introduction and Applications (1 ed.). Springer-Verlag Berlin Heidelberg

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Published

2019-01-31
CITATION
DOI: 10.26438/ijcse/v7i1.396403
Published: 2019-01-31

How to Cite

[1]
A. Das and R. Singh, “Epistemology of Nature inspired Artificial System”, Int. J. Comp. Sci. Eng., vol. 7, no. 1, pp. 396–403, Jan. 2019.

Issue

Vol. 7 No. 1 (2019): IJCSE January Edition

Section

Survey Article

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