Agent negotiation on resources with nonlinear utility functions
2012
To date, researches on agent multi-issue negotiation are mostly based on
linear utility functions. However, the relationship between utilities and
resources is usually saturated nonlinear. To this end, we expand linear
utility functions to nonlinear cases according to the law of diminishing
marginal utility. Furthermore, we propose a negotiation model on multiple
divisible resources with two phases to realize Pareto optimal results. The
computational complexity of the proposed algorithm is polynomial order.
Experimental results show that the optimized efficiency of the proposed
algorithm is distinctly higher than prior work.
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