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Agent-Augmented Co-Space: Toward Merging of Real World and Cyberspace

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6407))

Abstract

Co-Space refers to interactive virtual environment modelled after the real world we are situated in. Through realistic 3D modelling and animation technologies, Co-Space simulates the real world in terms of look-and-feel of our physical surrounding. With the advancement in pervasive sensor network, Co-Space may also capture and mirror the happening in the physical world in real time. The development of Co-Space thus offers great opportunities for delivering innovative applications and services. Specifically, for enriching the experience of users in Co-Space, it is essential to incorporate knowledge facilities in the form of intelligent agents to enhance the interactivity and playability within. This paper will begin with a brief review of this emerging field of work related to agents in virtual worlds and integrated cognitive architectures. We then discuss the key requirement, issues and challenges in making Co-Space interactive and intelligent. Following the notion of embodied intelligence, we propose to develop cognitive agents, based on a family of self-organizing neural models, known as fusion Adaptive Resonance Theory (fusion ART). Our ultimate aim is to have such agents roaming freely in the landscape of Co-Space, developing an awareness of its surrounding and interacting with avatars of real human. As an illustration, a case study of our effort in building the Singapore Youth Olympic Village (YOV) Co-Space will be presented.

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Tan, AH., Kang, Y. (2010). Agent-Augmented Co-Space: Toward Merging of Real World and Cyberspace. In: Xie, B., Branke, J., Sadjadi, S.M., Zhang, D., Zhou, X. (eds) Autonomic and Trusted Computing. ATC 2010. Lecture Notes in Computer Science, vol 6407. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16576-4_22

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  • DOI: https://doi.org/10.1007/978-3-642-16576-4_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16575-7

  • Online ISBN: 978-3-642-16576-4

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