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A Hands-on Laboratory Tutorial on Using CST to Build a Cognitive Architecture

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Biologically Inspired Cognitive Architectures (BICA) for Young Scientists (BICA 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 636))

Abstract

In this tutorial laboratory, we provide a step-by-step set of programming experiments illustrating the main foundations of the CST Cognitive Systems Toolkit in building a cognitive architecture to work as an artificial mind for controlling an NPC (non-player character) in a 3D virtual environment computer game. We start by understanding the sensors and actuators available in the NPC and how to control it inside the game. Then, we introduce the main foundations of CST: Codelets and Memories, and how they should be used to integrate a cognitive architecture. Then, we start building specific codelets and memories for a simple instance of the CST Reference Cognitive Architecture and start using it to control the NPC. The lab is a hands-on programming lab, using Java and Netbeans as language/tool.

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Acknowledgments

The author thanks CEPID/BRAINN for supporting this research (Proc. FAPESP 2013/07559-3).

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Authors and Affiliations

  1. DCA-FEEC-UNICAMP, Av. Albert Einstein 400, Campinas, SP, 13083-852, Brazil

    Ricardo R. Gudwin

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  1. Ricardo R. Gudwin
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Correspondence to Ricardo R. Gudwin .

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Editors and Affiliations

  1. Krasnow Institute, George Mason University, Fairfax, VA, USA

    Alexei V. Samsonovich

  2. National Research Nuclear University MEPhI, Moscow, Russia

    Valentin V. Klimov

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Gudwin, R.R. (2018). A Hands-on Laboratory Tutorial on Using CST to Build a Cognitive Architecture. In: Samsonovich, A., Klimov, V. (eds) Biologically Inspired Cognitive Architectures (BICA) for Young Scientists. BICA 2017. Advances in Intelligent Systems and Computing, vol 636. Springer, Cham. https://doi.org/10.1007/978-3-319-63940-6_9

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  • DOI: https://doi.org/10.1007/978-3-319-63940-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63939-0

  • Online ISBN: 978-3-319-63940-6

  • eBook Packages: EngineeringEngineering (R0)

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