Virtual Institutions.

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dc.contributor.author Bogdanovych, Anton
dc.date.accessioned 2008-04-08T03:12:10Z
dc.date.accessioned 2012-12-15T03:51:11Z
dc.date.available 2008-04-08T03:12:10Z
dc.date.available 2012-12-15T03:51:11Z
dc.date.issued 2007
dc.identifier.uri http://hdl.handle.net/2100/536
dc.identifier.uri http://hdl.handle.net/10453/19985
dc.description University of Technology, Sydney. Faculty of Information Technology. en_AU
dc.description.abstract This thesis establishes Virtual Institutions as a comprehensive software engineering technology for the development of 3D Virtual Worlds that require normative regulation of participants’ interactions (such as the commercially-oriented Virtual Worlds). 3D Virtual Worlds technology currently offers somewhat unregulated environments without means to enforce norms of behavior and interaction rules on their inhabitants. Furthermore, existing methodologies for Virtual Worlds development focus primarily on the design side of the “look-and-feel” of the inhabited space. Consequently, in current 3D Virtual Worlds it is difficult to keep track of the deviant behavior of participants and to guarantee a high level of security and predictable overall behavior of the system. The Virtual Institutions Methodology proposed by this dissertation is focused on designing highly secure heterogeneous Virtual Worlds (with humans and autonomous agents participating in them), where the participants behave autonomously and make their decisions freely within the limits imposed by the set of norms of the institution. It is supported by a multilayer model and representational formalisms, and the corresponding tools that facilitate rapid development of norm-governed Virtual Worlds and offer full control over stability and security issues. An important part of the Virtual Institutions Methodology is concerned with the relationship between humans and autonomous agents. In particular, the ways to achieve human-like behavior by learning such behavior from the humans themselves are investigated. It is explained how formal description of the interaction rules together with full observation of the users’ actions help to improve the human-like believability of autonomous agents in Virtual Institutions. The thesis proposes the concept of implicit training, which enables the process of teaching autonomous agents human characteristics without any explicit training efforts required from the humans, and develops the computational support for this new learning method. The benefits of using Virtual Institutions are illustrated through applying this technology to the domain of E-Commerce. It is demonstrated that providing shoppers with a normative environment that offers immersive experience and supports important real world attributes like social interaction, location awareness, advanced visualization, collaborative shopping and impulsive purchases can improve existing practices in E-Commerce portals. en_AU
dc.language.iso en en_AU
dc.subject Virtual reality en_AU
dc.subject Electronic commerce en_AU
dc.subject Autonomous agents en_AU
dc.title Virtual Institutions. en_AU
dc.type Thesis (PhD) en_AU


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