• D Rajesh Kumar

Artificial Swarm Intelligence (ASI) is a strategy for enhancing the aggregate knowledge of human bunches by interfacing organized members into constant frameworks demonstrated after characteristic swarms and directed by Computer based intelligence calculations. ASI has been appeared to enhance execution in a wide scope of errands, from anticipating money related markets to organizing clashing targets. This examination investigates the capacity of ASI frameworks to enhance the social knowledge of little groups. A lot of 61 groups, every one of 3 to 6 individuals, was directed a standard social affectability test — "Perusing the Mind in the Eyes" or RME. Subjects stepped through the examination both as people and as ASI frameworks (for example "swarms"). The normal individual scored 24 of 35 right (32% mistake) on the RME test, while the normal ASI swarm scored 30 of 35 right (15% blunder). Factual investigation found that the bunches filling in as ASI swarms had altogether higher social affectability than people working alone or gatherings cooperating by majority vote (p<0.001). This proposes that when gatherings arrive at choices as constant ASI swarms, they utilize their social knowledge than when working alone or by customary gathering vote.

Artificial Intelligence, Artificial Swarm Intelligence, Collective Intelligence, Emotional Intelligence.

"Enhancing the Social Intelligence of Teams Through Human Swarming", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.551-556, March-2019, Available :http://www.jetir.org/papers/JETIREO06125.pdf

"Enhancing the Social Intelligence of Teams Through Human Swarming", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp551-556, March-2019, Available at : http://www.jetir.org/papers/JETIREO06125.pdf