Dynamic Strategies for Negotiating Agents in E-Commerce Applications

Nishan Jebanasam, Hana Ma, and N. Parameswaran, The University of New South Wales, Australia

The world of e-commerce presents ample opportunity to fully utilize the capability of intelligent Agents. The highly dynamic, fast-moving and information-rich environment can often be overwhelming for the human participant. Agents can intelligently assist users by mimicking human behaviour and adapting themselves to their client’s specification. This Thesis explores the viability of running a society of Agents in a simple marketplace to negotiate on behalf of human clients. The type of Agent chosen for this role is a Plan-Based Agent. This architecture offers the flexibility and reasoning power required to maximize the possibilities presented in the environment chosen.


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