Research On MultiAgent-Based Electronic Commerce Market Structure And Trading Model

With the rapid development of the information technology, the network and the form of service-economy, the commerce mode based on Internet environment gradually comes into practical phase, and becomes the enterprise's core competence, and even to be the important aspect of the Comprehensive National Power. So the researches and applications about the online bargaining model based on Internet are unheard-of development, and the plentiful fruits are gained at the aspect of transplanting traditional trading models to the network circumstance, which almost aims at the fields of online auctions and biddings.But how further integrates the technical character of the information services in network applications with the unique economic attributes of the Electronic Commerce (EC), and to establish the effectual EC market microstructure, the trading model and the operational mechanism, which is the sticking point of the EC depth development. Therefore, to carry through the research about the electronic commerce market structure and trading model is practical and significant.Based on several actual application projects, this dissertation makes researches around with the EC's trading logic modeling, for further exploring the effectual approaches to make EC become practical, intelligent and automation. The primary works and innovations are summarized as follows.First of all, this dissertation analyzes the technical and economic attributes of EC Trading Model (ECTM), and pertinently selects the theories of the game and information economics, the Multi-Agent Systems (MAS), and the intelligence computation, constructs an intelligence computational frame of the ECTM, so provides the important foundation of the theory and technology to establish the effective and practical ECTM.Second,according to three essential elements of market structure, this dissertation constructs an effectual EC market micromechanism.There establishes a Multi-Agents Cooperation Commerce Market model (MACCM) and its architecture by the theory of MAS. Aims at that it is difficult to implement the merchandise's fast indexing and matchmaking in the process of trading with the high dimensional space of merchandise's attributes, this dissertation puts forward the concepts of key attributes, matchmaking tree and the meta-pattern combination eigen, and constructs a micro logic structure and an operating mechanism of MACCM. So it can provide the important infrastructure and carrying environment for ECTM.Third,to implement the effective automatch of the transactions, and provide an effectual trading mechanism of EC market, this dissertation contrives a Multi-Agents Matchmaking Trading Model (MAMTM) by the theroy of general game equilibrium. Aims at the especial importance of the EC market information efficiency, the thesis puts forward the concepts of Trading Entropy (TE) and TE-Chains, analyzes its impact to quotation waves.These fruits are propitious to construct reasonable market price behavior, optimize the operational mechanism of the micro-market structure, boost up the trading efficiency and market benefits, and urge forward the economy effective collocation for market resources.Fourth, for referring the order to market, the multi-agents dynamic bidding is the vital element to form the effective market conditions, so this dissertation uses the evolvement game theory, and establishes a price forecasting model by the Support Vector Machine (SVM), contrives a Neuralnetwork Quantal Response Equilibrium Reinforcement Learning model (NQRERL), desgins the algorithm and the flow of the multi-agent dynamic bidding, which is according to the principle of minimizing experiential risk and the individual behaviors'character of trading agents.These works enable agents to adjust trading beliefs continuously, evade the market risks, and optimize bidding strategies by forecasting and learning, then maximize the anticipation avail and benefits. These are propitious to form the market game, pricing and equilibrium.Fifth, negotiation is the important phase of the EC trading, so this dissertation aims at the potential dealings, uses the theory of Bayesian Nash equilibrium, and puts forward the concept of UnCompromising Probability (UCP), constructs the multi-agent negotiation trading protocol, model and algorithm based on the UCP and the Bayesian learning equilibrium mechanism.By limited turn negotiations, the trading agent can infer the certain belief of the rival, consequently optimize their own strategy, so as to further increase the exchange quantity.Finally, the research work of this dissertation is summarized, and the future research direction is indicated. By some experiments and application examples about automobile transactions, there still analyzes and validates the technical feasibility and the economical validity of the MACCM theory, models and algorithms established in this dissertation.