نتایج جستجو برای: nash bargaining game

تعداد نتایج: 119646  

2002
Corinne Touati Eitan Altman

For over a decade, the Nash Bargaining Solution (NBS) concept from cooperative game theory has been used in networks as a concept that allows sharing resources fairly. Due to its many appealing properties, it has recently been used for assigning bandwidth in a general topology network between applications that have linear utilities. In this paper, we use this concept for the bandwidth allocatio...

Journal: :EURASIP J. Wireless Comm. and Networking 2014
Bowen Duan Yueming Cai Jianchao Zheng Weiwei Yang Wendong Yang

This paper proposes a bargaining-based jammer power allocation scheme for multi-source multi-destination wireless network in the presence of a friendly jammer and a malicious node which eavesdrops erratically. We formulate the erratic behavior of the eavesdropper as a novel model where the eavesdropper wiretaps the message of the legitimate sources with a certain probability in a time slot. Mor...

Journal: :Mathematical Social Sciences 2005
Rann Smorodinsky

In his seminal work, Nash (1950) [Nash, J.F. (1950). bThe Bargaining ProblemQ, Econometrica, 18, 155–162.] derives a solution for two-person bargaining problems, within a cooperative setup. Nash assumes that the result of disagreement is known to both players and is not stochastic. We study the same problem, where the last assumption is relaxed. We provide a set of axioms which characterizes a ...

2010
MohammadHossein Bateni Mohammad Taghi Hajiaghayi Nicole Immorlica Hamid Mahini

We study bargaining games between suppliers and manufacturers in a network context. Agents wish to enter into contracts in order to generate surplus which then must be divided among the participants. Potential contracts and their surplus are represented by weighted edges in our bipartite network. Each agent in the market is additionally limited by a capacity representing the number of contracts...

2004
Ya'akov Gal Avi Pfeffer Francesca Marzo Barbara J. Grosz

This paper presents a machine-learning approach to modeling human behavior in one-shot games. It provides a framework for representing and reasoning about the social factors that affect people’s play. The model predicts how a human player is likely to react to different actions of another player, and these predictions are used to determine the best possible strategy for that player. Data collec...

Journal: :Mathematical Social Sciences 2012
Bram Driesen Andrés Perea Hans Peters

The Rubinstein alternating offers bargaining game is reconsidered under the assumption that each player is loss averse and the associated reference point is equal to the highest turned down offer of the opponent in the past. This makes the payoffs and therefore potential equilibrium strategies dependent on the history of play. A subgame perfect equilibrium is constructed, in which the strategie...

Journal: :CoRR 2017
Mohammad Hassan Lotfi Xingran Chen Saswati Sarkar

We consider the economics of the interaction between Mobile Virtual Network Operators (MVNOs) and Mobile Network Operators (MNOs). We investigate the incentives of an MNO for offering some of her resources to an MVNO instead of using the resources for her own End-Users (EUs). We consider a market with one MNO and one MVNO, and a continuum of undecided EUs. Two cases for EUs are considered: (i) ...

Journal: :CoRR 2009
Sriram Somanchi Chaitanya Nittala Y. Narahari

In this paper, we propose a bid optimizer for sponsored keyword search auctions which leads to better retention of advertisers by yielding attractive utilities to the advertisers without decreasing the revenue to the search engine. The bid optimizer is positioned as a key value added tool the search engine provides to the advertisers. The proposed bid optimizer algorithm transforms the reported...

2009
Sriram Somanchi Chaitanya Nittala

In this paper, we propose a bid optimizer for sponsored keyword search auctions which leads to better retention of advertisers by yielding attractive utilities to the advertisers without decreasing the revenue to the search engine. The bid optimizer is positioned as a key value added tool the search engine provides to the advertisers. The proposed bid optimizer algorithm transforms the reported...

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