English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This paper examines the simulation system for negotiation support based on the concept of genetic algorithms. Its purpose is to support negotiators for agreement by giving them some rational compromise in practice. Negotiators here mean constituents of a group, each of whom posesses a different opinion and view but has a common goal. Actually in this model negotiators' decisions are made first according to utility theory in advance and then compromise is to be attempted by modifying the utility function. Based on this, the modification is carried out by utilizing the searching function of genetic algorithms to suggest the way of attaining the compromise point in a negotiation. In this case, the parents group as objects of genetic operations consist of every individual but contradicts the compromising process. Fitnesses of each individual are to be set up according to the degree of dependence on the process. As a concrete example of the simulation, group car buying decision is dealt with for showing its actual process and the results. From the above, it can be deduced that this system suggests negotiators a most efficient and suitable solution.

Negotiation Simulation System Based on Genetic Algorithms