Learning New Spatially-Oriented Game-Playing Agents through Experience
نویسندگان
چکیده
As they gain expertise in problem solving, people increasingly rely on patterns and spatially-oriented reasoning. This paper describes the integration of an associative visual pattern classifier and the automated acquisition of new, spatially-oriented reasoning agents that simulate such behavior. They are incorporated into a game-learning program whose architecture robustly combines agents with conflicting perspectives. When tested on three games, the visual pattern classifier learns meaningful patterns, and the pattern-based, spatially-oriented agents generalized from these patterns are generally correct. The trustworthiness and relevance of these agents are confirmed with an algorithm that measures the accuracy of the contribution of each agent to the decision-mak-
منابع مشابه
Pattern-Based Learning and Spatially Oriented Concept Formation in a Multi-Agent, Decision-Making Expert
As they gain expertise in problem solving, people increasingly rely on patterns and spatiallyoriented reasoning. This paper describes an associative visual pattern classifier and the automated acquisition of new, spatially-oriented reasoning agents that simulate such behavior. They are incorporated into a multi-agent game-learning program whose architecture robustly combines agents with conflic...
متن کاملCombining Model-Based Meta-Reasoning and Reinforcement Learning for Adapting Game-Playing Agents
Human experience with interactive games will be enhanced if the game-playing software agents learn from their failures and do not make the same mistakes over and over again. Reinforcement learning, e.g., Q-Learning, provides one method for learning from failures. Model-based meta-reasoning that uses an agent’s self-model for blame assignment provides another. In this paper, we combine the two m...
متن کاملFuzzy Q-learning for First Person Shooters
Here machine learning techniques in the context of their application within computer games is examined. The scope of the study was that of reinforcement learning [RL] algorithms as applied to the control of enemies in a video game dynamic environment thus providing interesting new experiences for different game players. The project proved reinforcement learning algorithms are suitable and usefu...
متن کاملUsing role-playing game in a Virtual Learning Environment for a new approach to physics classroom lessons
Although the term “digital native” by Prensky is not appreciated by all pedagogical researchers, it perfectly describes the nowadays students that continuously deal with technology. Over the last ten years, the way in which education and training are delivered has considerably changed due to the introduction of new technologies. One of them, very promising, is Game-Based Learning. The work prop...
متن کاملEmbodiment, Embeddedness, and Experience: Game-Based Learning and the Construction of Identity
The twenty-first century places new demands on student learning. New times call for new literacies. We witness keen interest in “serious games” and the use of games to enhance student learning. Against this backdrop, this paper1 examines issues related to bringing game-based learning into classrooms. It is argued that the construction of students’ identity and sense of self are important but mo...
متن کامل