نتایج جستجو برای: active

تعداد نتایج: 439687  

Journal: :Games and Economic Behavior 2002
Lutz-Alexander Busch Ignatius J. Horstmann

We use a two-issue bargaining model with asymmetric information to study agent choice of how to structure bargaining. We uncover the settings in which di¤erent agenda structures are chosen in equilibrium, how the order in which issues are bargained over matters, and what impact the rules for implementing agreements have. If agreements are implemented as they are reached, “easy” issues are negot...

Journal: :Games and Economic Behavior 2015
Mehdi Shadmehr

A revolutionary entrepreneur strategically chooses the revolutionary agenda to maximize the likelihood of revolution. Citizens have different preferences and can contribute varying degrees of support. This presents the revolutionary entrepreneur with a tradeoff between extensive and intensive margins of support. We show: (1) Extremists exert a disproportionate influence over the revolutionary a...

2002
I-Hsuan Huang

Since 1994, active networks have become a popular research field. Under the motivation of technology “push” and user “pull”, we would like to purpose new active networks architecture that is secure, safe, efficient and flexible. Before we introduce new active networks architecture, the complete survey is an important milestone. In this report, we try to clearly describe the concept of active ne...

2008

In what case do you like reading so much? What about the type of the passive and active network measurement 9th international conference pam 2008 cleveland oh usa april 29 3

2008
Reinhard Klette Walter G. Kropatsch Franc Solina Ruzena Bajcsy

2001
Ian Brown

............................................................................................................ 2 TABLE OF FIGURES............................................................................................. 6 ACKNOWLEDGEMENTS..................................................................................... 6 RELATED PUBLICATIONS ....................................................

2003
Frédéric Kaplan Pierre-Yves Oudeyer

This chapter presents a generic internal reward system that drives an agent to increase the complexity of its behavior. This reward system does not reinforce a predefined task. Its purpose is to drive the agent to progress in learning given its embodiment and the environment in which it is placed. The dynamics created by such a system are studied first in a simple environment and then in the co...

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