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All Journal Asean Journal of Science and Engineering (AJSE)
Muhammad Abu Bakar
COMSATS University Islamabad
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Engineering Materials Science & Nanotechnology

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Understanding of Collective Decision-Making in Natural Swarms System, Applications and Challenges Muhammad Abu Bakar
ASEAN Journal of Science and Engineering Vol 1, No 3 (2021): AJSE: December 2021
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (973.802 KB) | DOI: 10.17509/ajse.v1i3.39637

Abstract

Swarm robotics is an emergent field that is inspired from biological system. Decentralized control for the achievement of global task. The concept of collective system is used to develop artificial systems that can perform the tasks in a collective manner, with minimum resources. In this paper we have presented group level intelligence to achieve global goals. Optimization strategies for swarm robotics, self-learning of agents by using trial and error, a well know technique of reinforcement learning and how system is designed to minimize the task allocation. We discuss some of the enabling factors at micro and macro-level and how these factors affect the modelling and intelligence of artificial system. Using the modern artificial intelligence, designing new systems to solve the complex research problems. And some of the key challenges in the field of swarm intelligence.
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