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Authors: Suresh Chavhan and Pallapa Venkataram

Affiliation: Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore and India

ISBN: 978-989-758-350-6

Keyword(s): Emergent Intelligence, MultiAgent System, Job Scheduling and Resource Allocation.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Autonomous Systems ; Bioinformatics ; Biomedical Engineering ; Collective Intelligence ; Computational Intelligence ; Cooperation and Coordination ; Distributed and Mobile Software Systems ; Distributed Problem Solving ; Enterprise Information Systems ; Evolutionary Computing ; Group Decision Making ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Methodologies and Technologies ; Mobile Agents ; Multi-Agent Systems ; Negotiation and Interaction Protocols ; Operational Research ; Self Organizing Systems ; Simulation ; Soft Computing ; Software Engineering ; Swarm Intelligence ; Symbolic Systems

Abstract: Technological advancement and increasing globalization makes humans face many problems in day to day life, involving many possible goals and each goal is associated with multiple possible actions, each associated with many different dynamic and uncertain consequences. In real systems, the message passing mechanisms and few computational intelligence techniques (like Swarm intelligence, Multiagent System, etc.) hinder mutual cooperation and coordination of agents while solving problems in an uncertain environment, even though they are highly efficient and sophisticated. Therefore, in this paper, we propose an Emergent Intelligence technique (EIT) based problem solving. The EIT is collective intelligence of group of agents, which is an extension of multiagent system (MAS). Unlike MAS, the EIT provides independent decision making for a single task by the multiple agents with mutual coordination and cooperation. It is very useful to solve the complex and dynamic problems in uncertain envi ronments. In this paper, we discuss EIT functioning, benefits, comparisons, and also illustration of two problems: (1) resource allocation and (2) job scheduling. Each problem is categorically analyzed and solved step by step using EIT. We measure performance of the technique by considering real time situations, and results are compared and shown the importance of EIT over MAS. (More)

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Paper citation in several formats:
Chavhan, S. and Venkataram, P. (2019). Emergent Intelligence: A Novel Computational Intelligence Technique to Solve Problems.In Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-350-6, pages 93-102. DOI: 10.5220/0007244100930102

@conference{icaart19,
author={Suresh Chavhan. and Pallapa Venkataram.},
title={Emergent Intelligence: A Novel Computational Intelligence Technique to Solve Problems},
booktitle={Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2019},
pages={93-102},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007244100930102},
isbn={978-989-758-350-6},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Emergent Intelligence: A Novel Computational Intelligence Technique to Solve Problems
SN - 978-989-758-350-6
AU - Chavhan, S.
AU - Venkataram, P.
PY - 2019
SP - 93
EP - 102
DO - 10.5220/0007244100930102

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