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Agent Negotiation in Water Policy Planning
Abstract
With the growing demand for water, and many challenges related to water availability, food security, pollution, and environmental degradation, it becomes imperative to establish good water policy planning for a sufficient supply of water consumption. This paper presents a general problem-solving framework for modeling multi-issue agent negotiation in water policy planning via fuzzy constraint processing. All participants involved in water policy planning are modeled as agents. Agent negotiation is formulated as a distributed fuzzy constraint satisfaction problem. Fuzzy constraints are used to define each participant’s professional views and demands. The agent negotiation simulates the interactive process of all participants’ water policy planning. This approach provides a systematic method to reach an agreement that benefits all participants’ water policy planning with a high satisfaction degree of fuzzy constraints, and move towards the deal more quickly since their search focuses only on the feasible solution space. An example application to Negotiation for Water Policy Planning is considered to demonstrate the usefulness and effectiveness of the proposed approach.
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