Benjamin Eckstein
ABSTRACT
In order to enable a social agent to behave in a believable and realistic way, it needs a wide range of information in the form of both low-level value-based data as well as high-level semantic knowledge. In this work we propose a system that puts a virtual reality layer between the real world and an agent's knowledge representation. This mirror world allows the agent to use its abstract representation of the environment and inferred events as an additional source of knowledge when reasoning about the real world. Additionally, users and developers can use the mirror world, with its visualized data and highlighting of the agent's reasoning, for further understanding of the agent's behavior, debugging and testing, or the simulation of additional sensor input.
- Chen, H., Finin, T., and Joshi, A. 2003. An ontology for context-aware pervasive computing environments. The knowledge engineering review 18, 03, 197--207. Google Scholar
Digital Library
- Eckstein, B., Lugrin, J. L., Wiebusch, D., and Latoschik, M. 2015. Pears - physics extension and representation through semantics. IEEE Transactions on Computational Intelligence and AI in Games.Google Scholar
- Gelernter, D. 1993. Mirror worlds: Or the day software puts the universe in a shoebox... How it will happen and what it will mean. Oxford University Press. Google ScholarDigital Library
- Gomez, C., and Paradells, J. 2010. Wireless home automation networks: A survey of architectures and technologies. IEEE Communications Magazine 48, 6, 92--101. Google ScholarDigital Library
- Luck, M., and Aylett, R. 2000. Applying artificial intelligence to virtual reality: Intelligent virtual environments. Applied Artificial Intelligence 14, 1, 3--32.Google ScholarCross Ref
Index Terms
- Augmented reasoning in the mirror world
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