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Integrating ACT-R Cognitive Models With the Unity Game Engine

Integrating ACT-R Cognitive Models With the Unity Game Engine
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Author(s): Paul Richard Smart (University of Southampton, UK), Tom Scutt (Mudlark, UK), Katia Sycara (Carnegie Mellon University, USA)and Nigel R. Shadbolt (University of Oxford, UK)
Copyright: 2019
Pages: 24
Source title: Rapid Automation: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-8060-7.ch024

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Abstract

The main aim of the chapter is to describe how cognitive models, developed using the ACT-R cognitive architecture, can be integrated with the Unity game engine in order to support the intelligent control of virtual characters in both 2D and 3D virtual environments. ACT-R is a cognitive architecture that has been widely used to model various aspects of human cognition, such as learning, memory, problem-solving, reasoning and so on. Unity, on the other hand, is a very popular game engine that can be used to develop 2D and 3D environments for both game and non-game purposes. The ability to integrate ACT-R cognitive models with the Unity game engine thus supports the effort to create virtual characters that incorporate at least some of the capabilities and constraints of the human cognitive system.

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