Introducing a Multi-agent, Multi-criteria Methodology for Modeling Electronic Consumer's Behavior: The Case of Internet Radio

نویسندگان

  • Nikos Manouselis
  • Nikolaos F. Matsatsinis
چکیده

This paper presents a step-by-step methodology for intelligent systems analysis and design, used in modeling and supporting the decision process of the electronic consumer. Borrowing methodologies and techniques from Operational Research and Decision Making, detailed and accurate models of the consumer buying and negotiating behaviors are constructed. Furthermore, a multi-agent architecture is proposed and outlined, encompassing and engaging these models in order to cooperate with electronic marketplaces, for the needs of the consumer to be best met. This methodology is applied to a specific case of study, the case of the Internet radio listeners.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multi-Criteria Risk-Benefit Analysis of Health Care Management

Abstract Purpose of this paper: The objectives of this paper are two folds: (1) utilizing hierarchical fuzzy technique for order preference by similarity to ideal solution (TOPSIS) approach to evaluate the most suitable RFID-based systems decision, and (2) to highlight key risks and benefits of radio frequency identification technology in healthcare industry. Design/methodology/approach: R...

متن کامل

Optimal Shaping of Non-Conventional Permanent Magnet Geometries for Synchronous Motors via Surrogate Modeling and Multi-Objective Optimization Approach

A methodology is proposed for optimal shaping of permanent magnets with non-conventional and complex geometries, used in synchronous motors. The algorithm includes artificial neural network-based surrogate model and multi-objective search based optimization method that will lead to Pareto front solutions. An interior permanent magnet topology with crescent-shaped magnets is also introduced as t...

متن کامل

Improving Agent Performance for Multi-Resource Negotiation Using Learning Automata and Case-Based Reasoning

In electronic commerce markets, agents often should acquire multiple resources to fulfil a high-level task. In order to attain such resources they need to compete with each other. In multi-agent environments, in which competition is involved, negotiation would be an interaction between agents in order to reach an agreement on resource allocation and to be coordinated with each other. In recent ...

متن کامل

An Online Q-learning Based Multi-Agent LFC for a Multi-Area Multi-Source Power System Including Distributed Energy Resources

This paper presents an online two-stage Q-learning based multi-agent (MA) controller for load frequency control (LFC) in an interconnected multi-area multi-source power system integrated with distributed energy resources (DERs). The proposed control strategy consists of two stages. The first stage is employed a PID controller which its parameters are designed using sine cosine optimization (SCO...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2001