Abstract
This paper presents an approach that uses a Constructive Interactive Activation and Competition (CIAC) neural network to model a situated agent’s experience. It demonstrates an implemented situated agent and its learning mechanisms. Experiments add to the understanding of how the agent learns from its interactions with the environment. The agent can develop knowledge structures and their intentional descriptions (conceptual knowledge) specific to what it is confronted with – its experience. This research is presented within the design optimization domain.
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References
Clancey, W.: Situated Cognition. Cambridge University Press, Cambridge (1997)
Clancey, W.: Conceptual Coordination: How the Mind Orders Experience in Time. Lawrence Erlbaum Associates, New Jersey (1999)
Dennis, S.: The Interactive Activation and Competition Network: How Neural Networks Process Information (1998), http://www.itee.uq.edu.au/~cogs2010/cmc/chapters/IAC/
Gero, J.S.: Towards a Model of Designing which includes its Situatedness. In: Grabowski, Rude, Grein (eds.) Universal Design Theory, pp. 47–56. Shaker Verlag, Aachen (1998)
Gero, J.S.: Constructive Memory in Design Thinking. In: Goldschmidt, Porter (eds.) Design Thinking Research Symposium: Design Representation, pp. 29–35. MIT Press, Cambridge (1999)
Hansen, R.E.: The Role of Experience Learning: Giving Meaning and Authenticity to the Learning Process. Journal of Technology Education 11, 23–32 (2000)
Jarvis, P.: Meaningful and Meaningless Experience: Towards an Analysis of Learning from Life. Adult Education Quarterly 37, 164–172 (1987)
Kolb, D.A.: Experiential Learning: Experience as the Source of Learning and Development. Prentice Hall, Englewood Cliffs (1984)
Lave, J., Wenger, E.: Situated Learning: Legitimate Peripheral Participation. University of Cambridge Press, Cambridge (1991)
Liew, P.: A Constructive Memory System for Situated Design Agents. PhD Thesis, Key Centre of Design Computing and Cognition, University of Sydney, Sydney, Australia (2004)
McClelland, J.L.: Retrieving General and Specific Information from Stored Knowledge of Specifics. In: Proceedings of the Third Annual Meeting of the Cognitive Science Society, pp. 170–172. Lawrence Erlbaum, Mahwah (1981)
Medler, D.A.: A Brief History of Connectionism. Neural Computing Surveys 1, 61–101 (1998)
Reffat, R., Gero, J.S.: Computational Situated Learning in Design. In: Gero, J.S. (ed.) Artificial Intelligence in Design 2000, pp. 589–610. Kluwer Academic Publishers, Dordrecht (2000)
Wooldridge, M., Jennings, N.R.: Intelligent Agents: Theory and Practice. Knowledge Engineering Review 10, 115–152 (1995)
Wordnet, http://wordnet.princeton.edu.au/
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Peng, W., Gero, J.S. (2006). Using a Constructive Interactive Activation and Competition Neural Network to Construct a Situated Agent’s Experience. In: Yang, Q., Webb, G. (eds) PRICAI 2006: Trends in Artificial Intelligence. PRICAI 2006. Lecture Notes in Computer Science(), vol 4099. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36668-3_5
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DOI: https://doi.org/10.1007/978-3-540-36668-3_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36667-6
Online ISBN: 978-3-540-36668-3
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