An adaptive strategy for trust/honesty model in multi-agent semi-competitive environments

Lam and Leung´s trust/honesty model and other existing reputation models are not adaptive. With which, agents may lose a lot as they cannot learn from their experiences and cannot adapt to new environments. To solve the problem, we introduce an adaptive strategy to the trust/honesty model. The adaptive strategy enables agents to be more reactive. At the same time, the adaptive strategy also increases the degree of pro-activeness to the agents. In addition, we relate the adaptive rate to the utility that an agent has gained and has lost. This mimics the model in human interaction. Simulations show that agents adopting the trust/honesty model with adaptive strategy significantly outperform agents with other existing models and strategies.