Redistribution Mechanisms for the Assignment of Heterogeneous Objects

نویسندگان

  • Sujit Gujar
  • Y. Narahari
چکیده

There are p heterogeneous objects to be assigned to n competing agents (n > p) each with unit demand. It is required to design a Groves mechanism for this assignment problem satisfying weak budget balance, individual rationality, and minimizing the budget imbalance. This calls for designing an appropriate rebate function. Our main result is an impossibility theorem which rules out linear rebate functions with non-zero efficiency in heterogeneous object assignment. Motivated by this theorem, we explore two approaches to get around this impossibility. In the first approach, we show that linear rebate functions with nonzero efficiency are possible when the valuations for the objects have some relationship. In the second approach, we show that rebate functions with non-zero efficiency are possible if linearity is relaxed.

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

On Optimal Linear Redistribution of VCG Payments in Assignment of Heterogeneous Objects

There are p heterogeneous objects to be assigned to n competing agents (n > p) each with unit demand. It is required to design a Groves mechanism for this assignment problem satisfying weak budget balance, individual rationality, and minimizing the budget imbalance. This calls for designing an appropriate rebate function. Our main result is an impossibility theorem which rules out linear rebate...

متن کامل

Hybrid Meta-heuristic Algorithm for Task Assignment Problem

Task assignment problem (TAP) involves assigning a number of tasks to a number of processors in distributed computing systems and its objective is to minimize the sum of the total execution and communication costs, subject to all of the resource constraints. TAP is a combinatorial optimization problem and NP-complete. This paper proposes a hybrid meta-heuristic algorithm for solving TAP in a ...

متن کامل

Learning Optimal Redistribution Mechanisms through Neural Networks

We consider a social setting where p public resources/objects are to be allocated among n competing and strategic agents so as to maximize social welfare (the objects should be allocated to those who value them the most). This is called allocative efficiency (AE). We need the agents to report their valuations for obtaining these resources, truthfully referred to as dominant strategy incentive c...

متن کامل

Efficient sequential assignment with incomplete information

We study the welfare maximizing assignment of several heterogenous, commonly ranked objects to impatient agents with privately known characteristics who arrive sequentially according to a Poisson or renewal process. We focus on two cases: 1. There is a deadline after which no more objects can be allocated; 2. The horizon is potentially in…nite and there is time discounting. We …rst characterize...

متن کامل

Context-Aware Task Redistribution for Enhanced M-Health Application Performance

AbstrAct Building context-aware mobile healthcare systems have become increasingly important with the emergence of new medical sensor technologies, the fast adoption of advanced mobile systems, and improved quality of care required by today's patients. A unique feature of our mobile healthcare system is a distributed processing paradigm whereby a set of bio-signal processing tasks is spread acr...

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:
  • J. Artif. Intell. Res.

دوره 41  شماره 

صفحات  -

تاریخ انتشار 2009