Give students a clue

Hansen, David M.; Bruce, Joseph; Harrison, David

doi:10.1145/1227310.1227326

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…For many years we have used Clue R 1 as a pedagogical tool 2 in our Artificial Intelligence course at George Fox University as a motivating platform for the development of "intelligent" computational agents [1].…”

Section: Introductionmentioning

confidence: 99%

“…Once a player has deduced the hidden set of cards in the solution they may make a final game-winning "accusation" on their turn. 45 1 Clue is known outside the United States as Cluedo R . 2 Calling it Glomus -a rough Latin translation of the word "clue" being a skein of yarn of the sort used by Ariadne to escape the maze in the myth of the Minotaur.…”

Section: Introductionmentioning

confidence: 99%

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Clues About Bluffing in Clue: Is Conventional Wisdom Wise?

Hansen

2021

IEEE Trans. Games

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We have used the board game Clue as a pedagogical tool in our course on Artificial Intelligence to teach formal logic through the development of logic-based computational game-playing agents. The development of game-playing agents allows us to experimentally test many game-play strategies and we have encountered some surprising results that refine "conventional wisdom" for playing Clue. In this paper we consider the effect of the oft-used strategy wherein a player uses their own cards when making suggestions (i.e., "bluffing") early in the game to mislead other players or to focus on acquiring a particular kind of knowledge. We begin with an intuitive argument against this strategy together with a quantitative probabilistic analysis of this strategy's cost to a player that both suggest "bluffing" should be detrimental to winning the game. We then present our counter-intuitive simulation results from playing computational agents that "bluff" against those that do not that show "bluffing" to be beneficial. We conclude with a nuanced assessment of the cost and benefit of "bluffing" in Clue that shows the strategy, when used correctly, to be beneficial and, when used incorrectly, to be detrimental.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Clues About Bluffing in Clue: Is Conventional Wisdom Wise?

Hansen

2021

IEEE Trans. Games

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Blackjack-playing agents in an advanced AI course

Popyack

2009

Proceedings of the 14th Annual ACM SIGCSE Conference on Innovation and Technology in Computer Science Education

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Blackjack is a multi-player card game in which each player makes a sequence of decisions based on a partially-observed game state that evolves under uncertainty. In its casino variant, Blackjack is typically played as a set of separate contests, each involving a player and the dealer, whose decisions are determined according to a published, fixed policy. We have developed and used a sequence of assignments for an advanced artificial intelligence course in which students determine an optimal strategy for Blackjack, modeled as a Markov Decision Process. The course culminates in a Blackjack tournament in which agents employ policies students have determined through their analyses.

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Blackjack-playing agents in an advanced AI course

Popyack

2009

SIGCSE Bull.

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Give students a clue

Cited by 3 publications

References 3 publications

Clues About Bluffing in Clue: Is Conventional Wisdom Wise?

Clues About Bluffing in Clue: Is Conventional Wisdom Wise?

Blackjack-playing agents in an advanced AI course

Blackjack-playing agents in an advanced AI course

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