Title: Modelling of multi-agent coordination using crocodile predatory strategy

Authors: Pragyan Nanda; Sritam Patnaik; Srikanta Patnaik

Addresses: Department of Computer Science and Engineering, Faculty of Engineering and Technology, SOA University, Bhubaneswar, Odisha, 751030, India ' School of Computer Engineering, Department of Electrical and Computer Engineering, National University of Singapore, Block-E4, 4 Engineering Drive 3, 117583, Singapore ' Department of Computer Science and Engineering, Faculty of Engineering and Technology, SOA University, Bhubaneswar, Odisha, 751030, India

Abstract: Multi-agent systems (MASs) are essential solutions for large-scale, complex problems as single agents are having limited capabilities and computing resources. In real-time problems, the agents have to take dynamic decisions during run-time and coordinate their actions accordingly. In such scenarios, conflicts between agents may arise while coordinating and collaborating dynamic action among them to achieve the goal and even after achieving the goal. To resolve such issues, a model is proposed in this paper which is motivated by the cooperative hunting and feeding behaviour of the crocodiles, i.e., utilises the predatory strategy of crocodiles.

Keywords: multi-agent systems; MAS; agents; agent-based systems; agent coordination; agent collaboration; crocodile predatory strategy; conflict resolution; e-commerce; electronic commerce; Skellam distribution; perceptions; communication; modelling.

DOI: 10.1504/IJRIS.2016.082963

International Journal of Reasoning-based Intelligent Systems, 2016 Vol.8 No.3/4, pp.119 - 131

Received: 04 Aug 2015
Accepted: 12 Mar 2016
Published online: 17 Mar 2017 *

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