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Kolem: studies on evolution of expertise in a society of learning agents.
Content Provider | CiteSeerX |
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Author | Nithrakashyap, Arvind Prasad, M. V. Nagendra |
Abstract | A society of agents is one in which many agents coexist and interact with each other while carrying out their tasks. Each agent builds a certain level of expertise. Thus the interactions among agents would help each agent to carry out its task better by tapping into the collective knowledge assets of the society. Agents may differ in the ways in which they interact with other agents. As the society evolves, agents may change from one type to another. This kind of an environment presents interesting dynamics. In this report, we describe a simulator that models such a society of agents. Using a package delivery domain, agent interactions, their relative performances and the evolution and performance of the society as a whole are studied. 1. Introduction The increasing availability of cheap computing resources has provided a new impetus for studying complex social processes. There has been a recent surge in the interest in studying societies of computational agents that model real world... |
File Format | |
Access Restriction | Open |
Subject Keyword | Task Better Agent Interaction Environment Present Many Agent Computational Agent Recent Surge Relative Performance New Impetus Collective Knowledge Asset Complex Social Process Certain Level Real World Package Delivery Domain |
Content Type | Text |