نتایج جستجو برای: opponent modeling

تعداد نتایج: 393094  

Journal: :Computers in Human Behavior 2012
J. J. De Simone Tessa Verbruggen Li-Hsiang Kuo Bilge Mutlu

In sports and board games, when an opponent cheats, the other players typically greet it with disdain, anger, and disengagement. However, work has yet to fully address the role of the computer cheating in video games. In this study, participants played either a cheating or a non-cheating version of a modified open-source tower-defense game. Results indicate that when a computer competitor cheat...

2017
Rens Hoegen Giota Stratou Jonathan Gratch

Many everyday decisions involve a social dilemma: cooperation can enhance joint gains, but also make one vulnerable to exploitation. Emotion and emotional signaling is an important element of how people resolve these dilemmas. With the rise of affective computing, emotion is also an important element of how people resolve these dilemmas with machines. In this article, we learn a predictive mode...

2009
Josh Bryan Piotr Gmytrasiewicz Antonio Del Giudice

Kriesgpiel, or partially observable chess, is appealing to the AI community due to its similarity to real-world applications in which a decision maker is not a lone agent changing the environment. This paper applies the framework of interactive POMDPs to design a competent Kriegspiel player. The novel element proposed here is a way to handle complexity in I-POMDPs by using the notion of quantal...

2003
Naoki KOJIMA

The paper studies an incentive contract in a monopolistic and duopolistic credit market where borrowers are different in risk. One lender is in an advantaged position with respect to the other due to past relations with the borrowers. The features of the equilibrium contract are investigated. It is shown that the equilibrium contract drastically changes between the monopolistic and the duopolis...

2013
Sussan Einakian Timothy S. Newman

The suitability of three classes of strategies governing color combination selection in isosurface-based volume visualization are explored. These classes are use of: (1) harmonious color combinations, (2) disharmonious color combinations, and (3) opponent color combinations. Suitability is assessed here via user evaluation of renderings of isosurfaces with multiple (nested) components. The sign...

2004
Matti Pietikäinen M. Pietikäinen

The LBP operator is a theoretically simple yet very powerful method of analyzing textures. Through its recent extensions, it has been made into a really powerful measure of image texture, showing excellent results in terms of accuracy and computational complexity in many empirical studies. The LBP operator can be seen as a unifying approach to the traditionally divergent statistical and structu...

2012
Yuichi Yamamoto

We investigate whether two players in a long-run relationship can maintain cooperation when the details of the underlying game are unknown. Specifically, we consider a new class of repeated games with private monitoring, where an unobservable state of the world influences the payoff functions and/or the monitoring structure. Each player privately learns the state over time, but cannot observe w...

Journal: :ARO. The Scientific Journal of Koya University 2021

In this paper, the implementation of artificial neural networks (multilayer perceptron [MLP] and radial base functions [RBF]) upgraded Markov chain model have been studied performed to identify human behavior patterns during rock, scissors game. The main motivation research is design construction an intelligent robot with ability defeat a opponent. MATLAB software has used implement algorithms....

2012
Roi Ceren Prashant Doshi Matthew Meisel Adam Goodie Dan Hall

Modeling human decision making in strategic problem domains is challenging with normative game theoretic approaches. Behavioral aspects of this type of decision making, such as forgetfulness or misattribution of reward, require additional parameters to capture their effect on decisions. We propose a descriptive model utilizing aspects of behavioral game theory, machine learning, and prospect th...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید