Agents for educational games and simulations

This book consists mainly of revised papers that were presented at the Agents for Educational Games and Simulation (AEGS) workshop held on May 2, 2011, as part of the Autonomous Agents and MultiAgent Systems (AAMAS) conference in Taipei, Taiwan. The 12 full papers presented were carefully reviewed and selected from various submissions. The papers are organized topical sections on middleware applications, dialogues and learning, adaption and convergence, and agent applications

Automated Game Design Learning

While general game playing is an active field of research, the learning of game design has tended to be either a secondary goal of such research or it has been solely the domain of humans. We propose a field of research, Automated Game Design Learning (AGDL), with the direct purpose of learning game designs directly through interaction with games in the mode that most people experience games: via play. We detail existing work that touches the edges of this field, describe current successful projects in AGDL and the theoretical foundations that enable them, point to promising applications enabled by AGDL, and discuss next steps for this exciting area of study. The key moves of AGDL are to use game programs as the ultimate source of truth about their own design, and to make these design properties available to other systems and avenues of inquiry.Comment: 8 pages, 2 figures. Accepted for CIG 201

Moral Turbulence and the Infusion of Multimodal Character Education Strategies in American Elementary Schools

Pockets of American society are marked by increase in violent crime with concurrent decline in moral character. This phenomenon is infiltrating the nation’s school system as evidenced by growing numbers of aggressive incidents in the classroom. As a result, there is an increasingly accepted need for effective character education programs in the schools as a means to help change the décolleté trajectory of the behavior of the nation’s school children. While more money and growing numbers of legislation have been put forth to support such an endeavor, research is still lacking as to what activities, skills, goals, and approaches would be best incorporated for optimal outcomes. This article makes a case for assessing the effectiveness of a multimodal approach incorporating cognitive, social, and sociocultural learning elements is than a single approach using cognitive elements alone, and considers the complexity of a Christian perspective on character education in schools

Deep learning for video game playing

In this article, we review recent Deep Learning advances in the context of how they have been applied to play different types of video games such as first-person shooters, arcade games, and real-time strategy games. We analyze the unique requirements that different game genres pose to a deep learning system and highlight important open challenges in the context of applying these machine learning methods to video games, such as general game playing, dealing with extremely large decision spaces and sparse rewards