Font Size: a A A

Design And Implementation Of Lntellective University Class Scheduling System Based On Negotiation

Posted on:2009-09-08Degree:MasterType:Thesis
Country:ChinaCandidate:J LiFull Text:PDF
GTID:2178330338485460Subject:Computer technology
Abstract/Summary:PDF Full Text Request
Multi-Agent System(MAS) has become the focus of artificia1 intelligence in recent years, and made lots of achievements in many fields of application. Multi-Agent System which is a new software development paradigm is convient for model bulding and implementing complex and large-scale systems. In this paper, an Intellective Scheduling System based on negotiation policy is proposed, which study the MAS theory and technology issues appeared in university class scheduling system. Based on the negotiation techniques of MAS,the study aims to make class scheduling system take into account the wishes of teachers and improve teachers'satisfac-tion。Firstly,this paper carries out theoretical research of MAS (MultipleAgent System),analyzes the conflicts of course scheduling system,introduces the negotiation policy applied in it and study the prevention and the lifting of the deadlock;Secondly, it deeply explores the methods of achieving each Agent and its performance, proposes to make use of negotiation policy。Finally it designs the structure of the system, database and lntellective university class scheduling system based on negotiation。In order to settle current security policy negotiation,this paper proposes an agent-based security policy negotiation model which combining some advantages of negotiation model in。At the beginning, this paper gives brief introduction about related work and depicts agent tech-nology and agent-based negotiation。Then it gives the structure of security policy negotiation model including negotiation protocol,negotiation object and negotiation tactics etc。Negotiation tactics provides a positive strategy which can enhance success rate of negotiation。...
Keywords/Search Tags:schedule problems, Multi-Agent System(MAS), policy negotiation, lntellective Scheduling System
PDF Full Text Request
Related items