Mobile-agent based multi-constraint one-to-many bilateral e-Negotiation framework

The thesis proposes a multi-constraint one-to-many bilateral e-Trade negotiation framework. It deploys mobile agents in negotiation, considers trading competition between vendors and search space, efficiently manages the risk of losing top utility offers that expire before the negotiation deadline, accurately evaluates offers, and truly maintains the security of negotiation data

An evolutionary framework for studying behaviors of economic agents

We propose an evolutionary framework for studying agents that interact in electronic marketplaces. We describe how this framework could be used to study the dynamics of interaction and evolution of agent strategies. We present experimental results from a simulated market, where multiple service providers compete for customers using different pricing strategies. The results show that service providers having different strategies and capacities occupy different niches in the market. Categories and Subject Descriptor

An Evolutionary Framework for Studying Behaviors of Economic Agents

We propose an evolutionary framework for studying agents that interact in electronic marketplaces. We describe how this framework could be used to study the dynamics of interaction and evolution of agent strategies. We present experimental results from a simulated market, where multiple service providers compete for customers using different pricing strategies. The results show that service providers having different strategies and capacities occupy different niches in the market