98,398 research outputs found
Strategic Interaction in the Sex Market
There have been few attempts to empirically explain the pursuit of
short term relationships and sex in a formal context. Previous work has lamented
the paucity of empirical studies which utilize incentive driven behavior to draw
conclusions and recommend policy. We develop a model of social network formation
through sexual matching, provide an empirical approach derived from the
model and apply it to a population of high interest. Specifically, we apply the approach
to a population of sexually active men who have sex with men (MSM) in
a large metropolitan area and derive qualitative conclusions regarding how individuals
behave in the marketplace for sex
The Hanabi Challenge: A New Frontier for AI Research
From the early days of computing, games have been important testbeds for
studying how well machines can do sophisticated decision making. In recent
years, machine learning has made dramatic advances with artificial agents
reaching superhuman performance in challenge domains like Go, Atari, and some
variants of poker. As with their predecessors of chess, checkers, and
backgammon, these game domains have driven research by providing sophisticated
yet well-defined challenges for artificial intelligence practitioners. We
continue this tradition by proposing the game of Hanabi as a new challenge
domain with novel problems that arise from its combination of purely
cooperative gameplay with two to five players and imperfect information. In
particular, we argue that Hanabi elevates reasoning about the beliefs and
intentions of other agents to the foreground. We believe developing novel
techniques for such theory of mind reasoning will not only be crucial for
success in Hanabi, but also in broader collaborative efforts, especially those
with human partners. To facilitate future research, we introduce the
open-source Hanabi Learning Environment, propose an experimental framework for
the research community to evaluate algorithmic advances, and assess the
performance of current state-of-the-art techniques.Comment: 32 pages, 5 figures, In Press (Artificial Intelligence
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