Adaptive Market Design with Linear Charging and Adaptive k-Pricing Policy

نویسندگان

  • Jaesuk Ahn
  • Chris Jones
چکیده

We describe a possible design strategy for a market specialist in the TAC Market Design Competition. Specifically, we describe both a linear charging policy that steadily increases the fees charged to trading agents interacting with the market, and an adaptive pricing policy that alters the trading price of goods based on the relative numbers of buyers and sellers in the market and the previous history of the market condition. We offer up two different sets of experimental data, the first to illustrate some basic properties about successful markets in the Market Design Competition, and the second to show the relative superiority of our chosen strategies over several possible alternatives.

برای دانلود 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

A Dynamic Analysis of Market Efficiency on Benchmark Crude oil markets: Based on the Adaptive Market Hypothesis

This paper examines the applicability of the adaptive market hypothesis (AMH) as an evolutionary alternative to the efficient market hypothesis (EMH) by studying daily returns on the three benchmark crude oils. The data coverage of daily returns is from January 2th 2003 to March 5th 2018. In this paper, two different tests in the form of two distinguished classes (linear and nonlinear) have bee...

متن کامل

Charging of Multimedia Flows in an Integrated Services Network

Admission to communication services for multimedia applications does not imply purely technical control, it has to integrate economic admission policies as well. This is mainly due to the fact that multimedia communication services within the Internet cannot be assigned in a cooperative fashion as they represent bandwidth-hungry applications. Internet economics make various assumptions on prici...

متن کامل

A multi-agent based scheduling algorithm for adaptive electric vehicles charging

This paper presents a decentralized scheduling algorithm for electric vehicles charging. The charging control model follows the architecture of a Multi-Agent System (MAS). The MAS consists of an Electric Vehicle (EV)/Distributed Generation (DG) aggregator agent and ‘‘Responsive” or ‘‘Unresponsive” EV agents. The EV/DG aggregator agent is responsible to maximize the aggregator’s profit by design...

متن کامل

Optimal adaptive leader-follower consensus of linear multi-agent systems: Known and unknown dynamics

In this paper, the optimal adaptive leader-follower consensus of linear continuous time multi-agent systems is considered. The error dynamics of each player depends on its neighbors’ information. Detailed analysis of online optimal leader-follower consensus under known and unknown dynamics is presented. The introduced reinforcement learning-based algorithms learn online the approximate solution...

متن کامل

Adaptive policy of buffer allocation and preventive maintenance actions in unreliable production lines

The buffer allocation problem is an NP-hard combinatorial optimization problem, and it is an important design problem in manufacturing systems. The research proposed in this paper concerns a product line consisting of n unreliable machines with n − 1 buffers and a preventive maintenance policy. The focus of the research is to obtain a better trade-off between the buffer level ...

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

برای دانلود 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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006