Zobrazeno 1 - 10
of 146
pro vyhledávání: '"Goldsmith, Judy"'
Many past attempts at modeling repeated Cournot games assume that demand is stationary. This does not align with real-world scenarios in which market demands can evolve over a product's lifetime for a myriad of reasons. In this paper, we model repeat
Externí odkaz:
http://arxiv.org/abs/2201.00486
We present a novel software suite for social network modeling and opinion diffusion processes. Much research on social network science has assumed networks with static topologies. More recently, attention has been turned to networks that evolve. Alth
Externí odkaz:
http://arxiv.org/abs/2006.12572
Autor:
Erdélyi, Olivia J., Goldsmith, Judy
With increasing ubiquity of artificial intelligence (AI) in modern societies, individual countries and the international community are working hard to create an innovation-friendly, yet safe, regulatory environment. Adequate regulation is key to maxi
Externí odkaz:
http://arxiv.org/abs/2005.11072
Publikováno v:
7th International Conference on Algorithmic Decision Theory, 2021
In the real world, people/entities usually find matches independently and autonomously, such as finding jobs, partners, roommates, etc. It is possible that this search for matches starts with no initial knowledge of the environment. We propose the us
Externí odkaz:
http://arxiv.org/abs/2005.01117
Autor:
Erdélyi, Olivia J., Goldsmith, Judy
Publikováno v:
In Government Information Quarterly October 2022 39(4)
In "The Logic of Campaigning", Dean and Parikh consider a candidate making campaign statements to appeal to the voters. They model these statements as Boolean formulas over variables that represent stances on the issues, and study optimal candidate s
Externí odkaz:
http://arxiv.org/abs/1706.06243
Autor:
Burton, Emanuelle, Goldsmith, Judy, Koenig, Sven, Kuipers, Benjamin, Mattei, Nicholas, Walsh, Toby
The recent surge in interest in ethics in artificial intelligence may leave many educators wondering how to address moral, ethical, and philosophical issues in their AI courses. As instructors we want to develop curriculum that not only prepares stud
Externí odkaz:
http://arxiv.org/abs/1701.07769
Publikováno v:
Journal Of Artificial Intelligence Research, Volume 42, pages 181-209, 2011
Value iteration is a powerful yet inefficient algorithm for Markov decision processes (MDPs) because it puts the majority of its effort into backing up the entire state space, which turns out to be unnecessary in many cases. In order to overcome this
Externí odkaz:
http://arxiv.org/abs/1401.3910
Publikováno v:
Journal Of Artificial Intelligence Research, Volume 33, pages 403-432, 2008
We investigate the computational complexity of testing dominance and consistency in CP-nets. Previously, the complexity of dominance has been determined for restricted classes in which the dependency graph of the CP-net is acyclic. However, there are
Externí odkaz:
http://arxiv.org/abs/1401.3453
We detail some lessons learned while designing and testing a decision-theoretic advising support tool for undergraduates at a large state university. Between 2009 and 2011 we conducted two surveys of over 500 students in multiple majors and colleges.
Externí odkaz:
http://arxiv.org/abs/1312.4113