Amê: An Environment to Learn and Analyze Adversarial Search Algorithms Using Stochastic Card Games

Students: Ana Beatriz Cruz, Sabrina Seriques, and Leonardo Preuss

Advisor: Eduardo Ogasawara

Abstract:

Computer Science students are usually enthusiastic about learning Artificial Intelligence (AI) due to the possibility of developing computer games that incorporate AI behaviors. Under this scenario, Search Algorithms (SA) are a fundamental subject of AI for a broad variety of games. Implementing deterministic games, varying from tic-tac-toe to chess games, are commonly approaches used to teach AI. Considering the perspective of game playing, however, stochastic games are usually more fun to play, and are not much explored during AI learning process. Other approaches in AI learning include developing searching algorithms to compete against each other. These approaches are relevant and engaging, but they lack an environment that features both algorithm design and benchmarking capabilities. To address this issue, we present Amê – an environment to support the learning process and analysis of adversarial search algorithms using a stochastic card game. We have conducted a pilot experiment with Computer Science students that developed different adversarial search algorithms for Hanafuda (a traditional Japanese card game).

Published paper

Amê at Google Playstore

Manual

About Eduardo Ogasawara
I am a Professor of the Computer Science Department of the Federal Center for Technological Education of Rio de Janeiro (CEFET / RJ) since 2010. I hold a PhD in Systems Engineering and Computer Science at COPPE / UFRJ. Between 2000 and 2007 I worked in the Information Technology (IT) field where I acquired extensive experience in workflows and project management. I have solid background in the Databases and my primary interest is Data Science. He currently studies space-time series, parallel and distributed processing, and data preprocessing methods. I am a member of the IEEE, ACM, INNS, and SBC. Throughout my career I have been presenting consistent number of published articles and projects approved by the funding agencies, such as CNPq and FAPERJ. I am also reviewer of several international journals, such as VLDB Journal, IEEE Transactions on Service Computing and The Journal of Systems and Software. Currently, I am heading the Post-Graduate Program in Computer Science (PPCIC) of CEFET / RJ.

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