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Epistemology of Nature inspired Artificial System

Amit Das1 , R.K.Singh 2

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-1 , Page no. 396-403, Jan-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i1.396403

Online published on Jan 31, 2019

Copyright © Amit Das, R.K.Singh . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Amit Das, R.K.Singh, “Epistemology of Nature inspired Artificial System,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.1, pp.396-403, 2019.

MLA Style Citation: Amit Das, R.K.Singh "Epistemology of Nature inspired Artificial System." International Journal of Computer Sciences and Engineering 7.1 (2019): 396-403.

APA Style Citation: Amit Das, R.K.Singh, (2019). Epistemology of Nature inspired Artificial System. International Journal of Computer Sciences and Engineering, 7(1), 396-403.

BibTex Style Citation:
@article{Das_2019,
author = {Amit Das, R.K.Singh},
title = {Epistemology of Nature inspired Artificial System},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2019},
volume = {7},
Issue = {1},
month = {1},
year = {2019},
issn = {2347-2693},
pages = {396-403},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3518},
doi = {https://doi.org/10.26438/ijcse/v7i1.396403}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i1.396403}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3518
TI - Epistemology of Nature inspired Artificial System
T2 - International Journal of Computer Sciences and Engineering
AU - Amit Das, R.K.Singh
PY - 2019
DA - 2019/01/31
PB - IJCSE, Indore, INDIA
SP - 396-403
IS - 1
VL - 7
SN - 2347-2693
ER -

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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.

Key-Words / Index Term

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

References

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[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.