TL;DRAbstract
In this paper I present a multi-agent system that aims at demonstrating software agent?s collaborative behavior when a number of intelligent agents are clustered together within one environment. This study draws inspiration from a research publication titled as Agent Collaboration and Social Networks, authored by R. Sean Bowman and Henry Hexmoor, which aims at demonstrating agent collaboration by implementing a game of agents, boxes and holes. Similar to the strategies discussed in paper and with a few design modifications of my own I have implemented a simulation that starts with agents, boxes and holes placed in a random order on a square grid. The goal of the agents is to capture a box after having some negotiations with other interested agents, carry and drop the identified box into a hole [9]. The agents have to achieve their goal in a minimum possible time by opting for the shortest available route.
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In this paper I present a multi-agent system that aims at demonstrating software agent?s collaborative behavior when a number of intelligent agents are clustered together within one environment. This study draws inspiration from a research publication titled as Agent Collaboration and Social Networks, authored by R. Sean Bowman and Henry Hexmoor, which aims at demonstrating agent collaboration by implementing a game of agents, boxes and holes. Similar to the strategies discussed in paper and with a few design modifications of my own I have implemented a simulation that starts with agents, boxes and holes placed in a random order on a square grid. The goal of the agents is to capture a box after having some negotiations with other interested agents, carry and drop the identified box into a hole [9]. The agents have to achieve their goal in a minimum possible time by opting for the shortest available route.
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