Philip Tan

Learn More
Responding to social, economic, and technological trends which make games the most powerful medium for reaching young learners, The Education Arcade project, based in the MIT Comparative Media Studies Program, seeks to prototype games that teach, develop curricular materials which support existing commercial titles, and help prepare teachers to use games in(More)
The COntext INterchange (COIN) strategy is an approach to solving the problem of interoperability of semantically heterogeneous data sources through context mediation. COIN has used its own notation and syntax for representing ontologies. More recently, the OWL Web Ontology Language is becoming established as the W3C recommended ontology language. We(More)
The inclusion of a practicum is one of the main challenges in the game studies curriculum, especially when it comes to teaching professional practices to students. This paper presents how professional management methodologies (Scrum, in this case) can be related to models of Situated Learning, as we demonstrate through our case study, the Singapore-MIT(More)
We use probabilistic boolean networks to simulate the pathogenesis of Dengue Hemorraghic Fever (DHF). Based on Chaturvedi's work, the strength of cytokine influences are modeled stochastically as inducement probabilities. Two basins of attractors are observed with synchronous updating; the Null Infection cycle attractor shows an expected cross-regulation of(More)
The effects of special relativity are not immediately observable in our everyday lives, so we tend to lack an intuition about them. For this reason, special relativity is often considered too abstract a concept for introductory physics courses. Games may provide one solution to this problem. In this paper, we introduce A Slower Speed of Light, a game by the(More)
The video game industry has grown enormously over the last twenty years, bringing new challenges to the artificial intelligence and data analysis communities. We tackle here the problem of automatic discovery of strategies in real-time strategy games through pattern mining. Such patterns are the basic units for many tasks such as automated agent design, but(More)
Given a set of class-labeled objects taking descriptions from a partially ordered set (e.g. itemsets, graphs, intervals, etc.), the task of finding description generalizations that strongly cover a class and weakly the others, has attracted a lot of attention in artificial intelligence (machine learning and data-mining) under various names (hypothesis,(More)