An Architecture for Agent’s Risk Perception
Abstract One of the critical issues in agent’s risk decisions is perception, specially because it assumes a key role on the decision process. This subject has not received enough attention in agent’s modelling literature. Until now, the main focus has been on the decision making process of agent’s and consecutive interpretation of their behaviours. In this sense, risk literature needs to focus on perception. It is through this cognitive process that all relation between individuals and the risk event will be recognized. In this sense, agent’s make decisions about a specific type of risk by taking into account their own perception. To help understanding how perception works, it became necessary to design the mechanisms and consequent context dimensions involved on it. Following this objective, we defined an architecture explaining this cognitive process. An architecture for agents’ risk perception complemented by the associated factors of context dimensions, in order to understand this subjective process, that happen in our minds .
- Referencias
- Cómo citar
- Del mismo autor
- Métricas
Freeman, W. The physiology of the brain. in Scientific American, Vol 264, (2) Pgs. 78-85, 1991
T. Steel, D. Kuiper, R. Z. Wenkstern Virtual Agent Perception in Multi-Agent Based Simulation Systems IEEE, 2010
Balcisoy, S. Kallmann, M. Torre, R. Fua, P. Thalmann, D. Interaction Techniques with Virtual Humans in Mixed Environments. In International Symposium on Mixed Reality, Tokyo, Japan, 2001
Herrero, P., Antonio, A. A Human Based Perception Model for Cooperative Intelligent Virtual Agents R. Meersman, Z. Tari (Eds.): CoopIS/DOA/ODBASE 2002, LNCS 2519, pp. 195–212, 2002.
Chenney Stevephen Sensing for Autonomous Agents in Virtual Environments, 1996
http://www.cs.berkeley.edu/~schenney/autonomous/sensing.html
Tu X. and Terzopoulos D., Artificial Fishes: Physics, Locomotion, Perception, Behaviour. Computer Graphics Proceedings of SIGGRAPH 94, pp 43-50, 1994.
Terzopoulos D., Tu X. and Grzeszczuk, R. Artificial fishes: Autonomous locomotion, perception, behaviour, and learning in a simulated physical world. Journal of Artificial Life, 1, 4, 1994
Pew R.W. and Mavor, A.S. editors. Modelling Human and Organizational Behaviour: Application to Military Simulations. National Academy Press, Wash., D.C. pp.200, 1998.
Rasmussen, J., Lind, M., “A model of human decision making in complex systems and its use for design of system control strategies” Risø National Laboratory, DK-4000 Roskilde, Denmark April 1982
Das, S. K. Grecu, D. L. COGENT: cognitive agent to amplify human perception and cognition. Proceedings of the Fourth International Conference on Autonomous Agents, June 5-7, 2000, Barcelona, Spain.
Wachinger, G & Renn, O (2010): Risk Perception and Natural Hazards. CapHaz-Net WP3 Report, DIALOGIK Non-Profit Institute for Communication and Cooperative Research, Stuttgart
Renn, O. Risk governance. Coping with uncertainty in a complex world. Earthscan, London, 2008.
Slovic, P. Perception of Risk Reflections on the Psychometric Paradigm. In Krimsky, S, Golding, D, ed. Social Theories of Risk. Praeger, Westport, 1992, 117–152.
Douglas, M.. Risk and Blame: Essays in Cultural Theory. London: Routledge,1992.
Damasio, A., Descartes’ Error Emotion, Reason, and the Human Brain, Penguin Group (USA), Inc., 1994
Kahneman, D. , Tversky, A Judgment under Uncertainty: Heuristics and Biases, Science, New Series, Vol. 185, No. 4157., pp. 1124-1131, 1974.
Breakwell, GM. The psychology of risk. Cambridge University Press, Cambridge, 2007.
Card, S., Moran, T., & Newell, A. The Psychology of Human-Computer Interaction. N.J., Erlbaum. 1983.
Goldstein, e. B. Sensation and perception. Cengage learning,2009.
Becker, J. T., Morris, R. G. "Working Memory(s)". Brain and Cognition 41: pp 1–8, 1999.
Georgeff, M.; Igrand, F., “Decision making in an embedded reasoning system. In:11th International Joint Conference on Artificial Intelligence, 1989 Detroit, Michigan, Ames Research Center,1989
Russel, S., Norvig, P. Artificial Intelligence: a modern approach New Jersey, Prentice Hall, 1996
Alvares, L., Sichmam, J., “Introdução aos Sistemas Multiagentes” Jornada de Atualização em Informática, 16, Brasília UNB, 1997
Bratman, M.; Israel, D., Pollack, M., “Toward an architecture for resource- bounded agents”, Stanford University, 1987
Mora, M., Lopes, J., Coelho, J., Viccari, R., “BDI models and systems: reducing the gap” , Agents theory, architecture and languages workshop, Springer Verlag, 1998
T. Steel, D. Kuiper, R. Z. Wenkstern Virtual Agent Perception in Multi-Agent Based Simulation Systems IEEE, 2010
Balcisoy, S. Kallmann, M. Torre, R. Fua, P. Thalmann, D. Interaction Techniques with Virtual Humans in Mixed Environments. In International Symposium on Mixed Reality, Tokyo, Japan, 2001
Herrero, P., Antonio, A. A Human Based Perception Model for Cooperative Intelligent Virtual Agents R. Meersman, Z. Tari (Eds.): CoopIS/DOA/ODBASE 2002, LNCS 2519, pp. 195–212, 2002.
Chenney Stevephen Sensing for Autonomous Agents in Virtual Environments, 1996
http://www.cs.berkeley.edu/~schenney/autonomous/sensing.html
Tu X. and Terzopoulos D., Artificial Fishes: Physics, Locomotion, Perception, Behaviour. Computer Graphics Proceedings of SIGGRAPH 94, pp 43-50, 1994.
Terzopoulos D., Tu X. and Grzeszczuk, R. Artificial fishes: Autonomous locomotion, perception, behaviour, and learning in a simulated physical world. Journal of Artificial Life, 1, 4, 1994
Pew R.W. and Mavor, A.S. editors. Modelling Human and Organizational Behaviour: Application to Military Simulations. National Academy Press, Wash., D.C. pp.200, 1998.
Rasmussen, J., Lind, M., “A model of human decision making in complex systems and its use for design of system control strategies” Risø National Laboratory, DK-4000 Roskilde, Denmark April 1982
Das, S. K. Grecu, D. L. COGENT: cognitive agent to amplify human perception and cognition. Proceedings of the Fourth International Conference on Autonomous Agents, June 5-7, 2000, Barcelona, Spain.
Wachinger, G & Renn, O (2010): Risk Perception and Natural Hazards. CapHaz-Net WP3 Report, DIALOGIK Non-Profit Institute for Communication and Cooperative Research, Stuttgart
Renn, O. Risk governance. Coping with uncertainty in a complex world. Earthscan, London, 2008.
Slovic, P. Perception of Risk Reflections on the Psychometric Paradigm. In Krimsky, S, Golding, D, ed. Social Theories of Risk. Praeger, Westport, 1992, 117–152.
Douglas, M.. Risk and Blame: Essays in Cultural Theory. London: Routledge,1992.
Damasio, A., Descartes’ Error Emotion, Reason, and the Human Brain, Penguin Group (USA), Inc., 1994
Kahneman, D. , Tversky, A Judgment under Uncertainty: Heuristics and Biases, Science, New Series, Vol. 185, No. 4157., pp. 1124-1131, 1974.
Breakwell, GM. The psychology of risk. Cambridge University Press, Cambridge, 2007.
Card, S., Moran, T., & Newell, A. The Psychology of Human-Computer Interaction. N.J., Erlbaum. 1983.
Goldstein, e. B. Sensation and perception. Cengage learning,2009.
Becker, J. T., Morris, R. G. "Working Memory(s)". Brain and Cognition 41: pp 1–8, 1999.
Georgeff, M.; Igrand, F., “Decision making in an embedded reasoning system. In:11th International Joint Conference on Artificial Intelligence, 1989 Detroit, Michigan, Ames Research Center,1989
Russel, S., Norvig, P. Artificial Intelligence: a modern approach New Jersey, Prentice Hall, 1996
Alvares, L., Sichmam, J., “Introdução aos Sistemas Multiagentes” Jornada de Atualização em Informática, 16, Brasília UNB, 1997
Bratman, M.; Israel, D., Pollack, M., “Toward an architecture for resource- bounded agents”, Stanford University, 1987
Mora, M., Lopes, J., Coelho, J., Viccari, R., “BDI models and systems: reducing the gap” , Agents theory, architecture and languages workshop, Springer Verlag, 1998
Trindade, N., & Antunes, L. (2013). An Architecture for Agent’s Risk Perception. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 2(2), 75–85. https://doi.org/10.14201/ADCAIJ2013257585
Downloads
Download data is not yet available.
+
−