MAINWAVE: Multi Agents and Issues Negotiation for Web using Alliance Virtual Engine
Debajyoti Mukhopadhyay, Saurabh Deochake, Shashank Kanth, Subhadip, Chakraborty, Suresh Sarode

TL;DR
This paper presents MAINWAVE, an advanced multi-agent negotiation system for web-based multi-issue negotiations, incorporating concurrency, AI-driven utility refinement, alliance formation, and fault tolerance features.
Contribution
It introduces a novel architecture with hierarchical issue representation, AI-based weight determination, and alliance support, enhancing multi-party negotiation capabilities.
Findings
Supports multi-party, multi-issue negotiations with hierarchical issues.
Implements AI to refine utility calculations.
Ensures fault tolerance through party queuing and alliance formation.
Abstract
This paper showcases an improved architecture for a complete negotiation system that permits multi party multi issue negotiation. The concepts of multithreading and concurrency has been utilized to perform parallel execution. The negotiation history has been implemented that stores all the records of the messages exchanged for every successful and rejected negotiation process and implements the concepts of artificial intelligence in determination of proper weights for a valid negotiation mechanism. The issues are arranged in a hierarchical pattern so as to simplify the representation and priorities are assigned to each issue, which amounts to its relative importance. There is refinement of utilities by consideration of the non-functional attributes. So as to avoid overloading of the system, a maximum number of parties are allowed to participate in the entire mechanism and if more…
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Taxonomy
TopicsMulti-Agent Systems and Negotiation · Mobile Agent-Based Network Management · Logic, Reasoning, and Knowledge
