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Using a Parameterized Memory Model to Modulate NPC AI

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Intelligent Virtual Agents (IVA 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8108))

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Abstract

While there continues to be exciting developments in research related to virtual characters, improvements are still needed to create plausibly human-like behaviors. In this paper, we present a synthetic parameterized memory model which includes sensory, working, and long-term memories and mechanisms for acquiring and retrieving memories. With the aid of this model, autonomous virtual humans are able to perform more reasonable interactions with objects and agents in their environment. The memory model also facilitates emergent behaviors, enhances behavioral animation, and assists in creating heterogeneous populations. To demonstrate the effectiveness of the memory model, we also provide an example in a 3D game environment and have conducted a user study in which we found general guidance in determining parameter values for the memory model, resulting in NPCs with more human-like game playing performances.

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Author information

Authors and Affiliations

  1. Laboratory for Games and Intelligent Animation, George Mason University, 4400 University Drive, MSN 4A5, USA, Fairfax, VA, 22030

    Weizi (Philip) Li, Tim Balint & Jan M. Allbeck

Authors
  1. Weizi (Philip) Li
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  2. Tim Balint
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  3. Jan M. Allbeck
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Editor information

Editors and Affiliations

  1. MACS, Heriot-Watt University, Riccarton, EH14 4AS, Edinburgh, UK

    Ruth Aylett

  2. Austrian Research Institute for Artificial Intelligence (OFAI), 1010, Vienna, Austria

    Brigitte Krenn

  3. CNRS-LTCI, Telecom-ParisTech, 75014, Paris, France

    Catherine Pelachaud

  4. School of Informatics, The University of Edinburgh, EH8 9LW, Edinburgh, UK

    Hiroshi Shimodaira

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Li, W.(., Balint, T., Allbeck, J.M. (2013). Using a Parameterized Memory Model to Modulate NPC AI. In: Aylett, R., Krenn, B., Pelachaud, C., Shimodaira, H. (eds) Intelligent Virtual Agents. IVA 2013. Lecture Notes in Computer Science(), vol 8108. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40415-3_1

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  • DOI: https://doi.org/10.1007/978-3-642-40415-3_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40414-6

  • Online ISBN: 978-3-642-40415-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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