scispace - formally typeset
Search or ask a question
Institution

Georgia College & State University

EducationMilledgeville, Georgia, United States
About: Georgia College & State University is a education organization based out in Milledgeville, Georgia, United States. It is known for research contribution in the topics: Population & Context (language use). The organization has 950 authors who have published 1591 publications receiving 37027 citations.


Papers
More filters
Journal ArticleDOI
01 Nov 2012
TL;DR: This article model the behavioral data obtained from the studies using the interactive partially observable Markov decision process, appropriately simplified and augmented with well-known models simulating human learning and decision, and indicates that these could be viable ways for computationally modeling strategic behavioral data in a general way.
Abstract: Recursive reasoning of the form what do I think that you think that I think (and so on) arises often while acting in multiagent settings. Previously, multiple experiments studied the level of recursive reasoning generally displayed by humans while playing sequential general-sum and fixed-sum, two-player games. The results show that subjects experiencing a general-sum strategic game display first or second level of recursive thinking with the first level being more prominent. However, if the game is made simpler and more competitive with fixed-sum payoffs, subjects predominantly attributed first-level recursive thinking to opponents thereby acting using second level. In this article, we model the behavioral data obtained from the studies using the interactive partially observable Markov decision process, appropriately simplified and augmented with well-known models simulating human learning and decision. We experiment with data collected at different points in the study to learn the models parameters. Accuracy of the predictions by our models is evaluated by comparing them with the observed study data, and the significance of the fit is demonstrated by comparing the mean squared error of our model predictions with those of a random hypothesis. Accuracy of the predictions by the models suggest that these could be viable ways for computationally modeling strategic behavioral data in a general way. While we do not claim the cognitive plausibility of the models in the absence of more evidence, they represent promising steps toward understanding and computationally simulating strategic human behavior.

18 citations

Journal ArticleDOI
TL;DR: In this article, the authors analyzed state and metropolitan housing prices in the United States, focusing on the long range dependence of price volatility proxied by squared and absolute returns based on the...
Abstract: In this study, we analyze state and metropolitan housing prices in the United States, focusing on the long range dependence of price volatility proxied by squared and absolute returns based on the ...

18 citations

Journal ArticleDOI
TL;DR: This paper developed a model based on the ability of the family business to use familiness, a specific bundle of attributes deriving from a family's culture, as a competitive advantage for the family firm.
Abstract: Using the family business succession, resourcebased view of firms, familiness, and organizational clan literatures, this article develops a model based on the ability of the family business to use familiness, a specific bundle of attributes deriving from a family’s culture, as a competitive advantage for the family firm. In particular, this resource-based framework of family business shows how familiness can distinguish between family firms that succeed beyond the second generation and those that do not. Implications for future research are discussed.

18 citations

Journal ArticleDOI
TL;DR: The authors found that the more often a team is televised, relative to the total number of own-and opponent-televised games, the greater the change in the number of AP votes that team receives, even after accounting for own and opponent's on-field performance.
Abstract: A potential source of bias in the Associated Press (AP) Top 25 football rankings is television exposure. Using the 2003-2004 and 2004-2005 college football seasons, the authors observe, all else equal, that AP voters change the ranking of teams differently on the basis of television exposure: The more often a team is televised, relative to the total number of own- and opponent-televised games, the greater the change in the number of AP votes that team receives, even after accounting for own and opponent's on-field performance.

18 citations

Journal ArticleDOI
TL;DR: The uptake of the radioisotopes cadmium 115 M and zinc 65 confirm earlier studies on these metals, and shows that within certain limits, the amount of metal previously taken up does not preclude the entry of more metal.

18 citations


Authors

Showing all 957 results

NameH-indexPapersCitations
Gene H. Brody9341827515
Mark D. Hunter5617310921
James E. Payne5220112824
Arash Bodaghee301222729
Derek H. Alderman291213281
Christian Kuehn252063233
Ashok N. Hegde25482907
Stephen Olejnik25674677
Timothy A. Brusseau231391734
Arne Dietrich21443510
Douglas M. Walker21762389
Agnès Bischoff-Kim2146885
Uma M. Singh20401829
David Weese20461920
Angeline G. Close20351718
Network Information
Related Institutions (5)
University of Wisconsin–Milwaukee
28K papers, 936.4K citations

83% related

University of Memphis
20K papers, 611.6K citations

82% related

Kent State University
24.6K papers, 720.3K citations

82% related

Miami University
19.5K papers, 568.4K citations

82% related

East Carolina University
22.3K papers, 635K citations

82% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
20225
202168
202061
201972
201861