Brain Model of Text Animation as a Data Mining Strategy
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Imagination is the critical point in developing of realistic intelligence (AI) systems. One way to approach imagination would be simulation of its properties and operations. We developed two models “Brain Network Hierarchy of Languages,” and “Semantical Holographic Calculus” and simulation system ScriptWriter that emulate the process of imagination through an automatic animation of English texts. The purpose of this paper is to demonstrate the model and present “ScriptWriter” system http://nvo.sdsc.edu/NVO/JCSG/get_SRB_mime_file2.cgi//home/tamara.sdsc/test/demo.zip?F=/home/tamara.sdsc/test/demo.zip&M=application/x-gtar for simulation of the imagination.
Key wordsImagination Text processing Artificial intelligent Animation
We thank Edward Ross and David Little from University of California San Diego for discussion and comments.
- 1.Fauconnier, G. and Turner Mark Book: The way we think. 2003CHI Conference Publications Format. Available at http://www.acm.org/sigchi/chipubform/.
- 2.Bates, J. 1992. Virtual Reality, Art, and Entertainment. Presence: The Journal of Teleoperators and Virtual Environments 1(1): 133–138.Google Scholar
- 3.Bates, J., Loyall, A. B. and Reilly, W. S. 1992. Integrating Reactivity, Goals, and Emotion in a Broad Agent. In Proceedings of the Fourteenth Annual Conference of the Cognitive Science Society. Bloomington, IN, July.Google Scholar
- 4.Mateas, M. and Stern, A. 2000. Towards Integrating Plot and Character for Interactive Drama. In Working Notes of the Social Intelligent Agents: The Human in the Loop Symposium. AAAI Fall Symposium Series. Menlo Park, CA: AAAI Press.Google Scholar
- 5.Sengers, P. 1998. Do the Thing Right: An Architecture for Action-Expression. In Proceedings of the Second International Conference on Autonomous Agents. pp. 24–31.Google Scholar
- 6.Mahadevan, P., Krioukov, D., Fall, K. and Vahdat, A. A Basis for Systematic Analysis of Network Topologies. http://www.krioukov.net/dima/pub/index.html.
- 8.Tony, A. 1997. Plate Holographic Reduced Representation. CSLI Lecture Notes No. 150.Google Scholar
- 9.Rumelhart, D. E., McClelland, J. L. and the PDP Research Group. Parallel Distributed Processing. Vols, 1 and 2. Cambridge, MA: MIT Press.Google Scholar
- 10.Hecht-Nielsen, R. A Theory of Cerebral Cortex. UCSD Institute for Neural Computation Technical Report #0404.Google Scholar