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Human Swarming with Artificial Swarm Intelligence using a hybrid approach

Adhina Raju1 , Shajan P X2

Section:Review Paper, Product Type: Journal Paper
Volume-06 , Issue-07 , Page no. 34-37, Sep-2018

Online published on Sep 30, 2018

Copyright © Adhina Raju, Shajan P X . 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: Adhina Raju, Shajan P X, “Human Swarming with Artificial Swarm Intelligence using a hybrid approach,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.07, pp.34-37, 2018.

MLA Style Citation: Adhina Raju, Shajan P X "Human Swarming with Artificial Swarm Intelligence using a hybrid approach." International Journal of Computer Sciences and Engineering 06.07 (2018): 34-37.

APA Style Citation: Adhina Raju, Shajan P X, (2018). Human Swarming with Artificial Swarm Intelligence using a hybrid approach. International Journal of Computer Sciences and Engineering, 06(07), 34-37.

BibTex Style Citation:
@article{Raju_2018,
author = {Adhina Raju, Shajan P X},
title = {Human Swarming with Artificial Swarm Intelligence using a hybrid approach},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {9 2018},
volume = {06},
Issue = {07},
month = {9},
year = {2018},
issn = {2347-2693},
pages = {34-37},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=463},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=463
TI - Human Swarming with Artificial Swarm Intelligence using a hybrid approach
T2 - International Journal of Computer Sciences and Engineering
AU - Adhina Raju, Shajan P X
PY - 2018
DA - 2018/09/30
PB - IJCSE, Indore, INDIA
SP - 34-37
IS - 07
VL - 06
SN - 2347-2693
ER -

           

Abstract

Swarm Intelligence explores swarms of autonomous robots or simulated agents. Little work, however, has been done on swarms of networked humans. Artificial Swarm Intelligence (ASI) strives to facilitate the emergence of a super-human intellect by connecting groups of human users in closed-loop systems modeled after biological swarms. Early studies have shown that “human swarms” can make more accurate predictions than traditional methods for tapping the wisdom of groups, such as votes and polls. Artificial Swarm Intelligence enables groups to form real-time systems online, connecting as ‘human swarms’ from anywhere in the world. A combination of real-time human input and A.I. algorithms, a Swarm Artificial Swarm Intelligence based system combines the knowledge, wisdom, opinions, and intuitions of live human participants as a unified emergent intelligence that can generate optimized predictions, decisions, insights, and judgments. Simply put, Swarm A.I. technology creates amplified intelligence while keeping humans in the loop.

Key-Words / Index Term

Swarm intelligence, Human Swarming, ASI Algorithms

References

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