Abstract
This paper presents a new cognitive architecture for extracting meaningful, high-level information from the environment, starting from the raw data collected by a Wireless Sensor Network. The proposed framework is capable of building rich internal representation of the sensed environment by means of intelligent data processing and correlation. Furthermore, our approach aims at integrating the connectionist, data-driven model with the symbolic one, that uses a high-level knowledge about the domain to drive the environment interpretation. To this aim, the framework exploits the notion of conceptual spaces, adopting a conceptual layer between the subsymbolic one, that processes sensory data, and the symbolic one, that describes the environment by means of a high level language; this intermediate layer plays the key role of anchoring the upper layer symbols. In order to highlight the characteristics of the proposed framework, we also describe a sample application, aiming at monitoring a forest through a Wireless Sensor Network, in order to timely detect the presence of fire.
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Akyildiz, I., Su, W., Sankarasubramaniam, Y., Cayirci, E.: A survey on sensor networks. IEEE Communication Magazine 40(8), 102–114 (2002)
Zhao, F., Guibas, L.: Wireless Sensor Networks: An Information Processing Approach. Morgan Kaufmann, San Francisco (2004)
He, T., Krishnamurthy, S., Luo, L., Yan, T., Gu, L., Stoleru, R., Zhou, G., Cao, Q., Vicaire, P., Stankovic, J.A., Abdelzaher, T.F., Hui, J., Krogh, B.: Vigilnet: An integrated sensor network system for energy-efficient surveillance. ACM Trans. Sen. Netw. 2(1), 1–38 (2006)
Tolle, G., Polastre, J., Szewczyk, R., Culler, D., Turner, N., Tu, K., Burgess, S., Dawson, T., Buonadonna, P., Gay, D., Hong, W.: A macroscope in the redwoods. In: SenSys ’05. Proceedings of the 3rd international conference on Embedded networked sensor systems, pp. 51–63. ACM Press, New York (2005)
Chella, A., Frixione, M., Gaglio, S.: A cognitive architecture for artificial vision. Artificial Intelligence 89(1–2), 73–111 (1997)
Chella, A., Frixione, M., Gaglio, S.: Understanding dynamic scenes. Artificial Intelligence 123(1–2), 89–132 (2000)
Gärdenfors, P.: Conceptual Spaces. The Geometry of Thought. MIT Press, Cambridge (2000)
Goel, S., Imielinski, T., Passarella, A.: Using buddies to live longer in a boring world. In: Proc. IEEE PerCom Workshop, Pisa, Italy, pp. 342–346. IEEE Computer Society Press, Los Alamitos (2006)
Burges, C.J.: 1. In: Data mining and knowledge discovery handbook: A complete guide for practitioners and researchers, Kluwer Academic Publishers, Boston, MA (2005)
Friedman, J., Tukey, J.: A projection pursuit algorithm for exploratory data analysis. IEEE Transactions on Computers 23(9), 881–890 (1974)
Tipping, M., Bishop, C.: Probabilistic principal component analysis. Journal of the Royal Statistical Society 61(3), 611 (1999)
Borg, I., Groenen, P.: Modern Multidimensional Scaling: Theory and Applications. Springer, Heidelberg (1997)
Belkin, M., Niyogi, P.: Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation 15(6), 1373–1396 (2003)
Meila, M., Shi, J.: Learning segmentation by random walks. Advances in Neural Information Processing Systems 13 (2001)
Cristianini, N., Shawe-Taylor, J.: An Introduction to Support Vector Machines. Cambridge University Press, Cambridge (2000)
Cauwenberghs, C., Poggio, T.: Incremental and decremental support vector machine learning. In: NIPS. proc. of the 14th Conf. on Advances in Neural Infomation Processing Systems, pp. 409–415 (2000)
Nebel, B.: Reasoning and Revision in Hybrid Representation Systems. LNCS (LNAI), vol. 422. Springer, Heidelberg (1990)
Brachman, R., Schmoltze, J.: An overview of the KL-ONE knowledge representation system. Cognitive Science 9(2), 171–216 (1985)
Merrill, D.F., Alexander, M.E. (eds.): Glossary of Forest Fire Management Terms. Canadian Committee on Forest Fire Management. National Research Council Canada, Ottawa, Ontario, Canada (1987)
Wilson, J., Steingart, D., Romero, R., Reynolds, J., Mellers, E., Redfern, A., Lim, L., Watts, W., Patton, C., Baker, J., Wright, P.: Design of monocular head-mounted displays for increased indoor firefighting safety and efficiency. In: Proceedings of SPIE, vol. 5800, pp. 103–114. Helmet- and Head-Mounted Displays X: Technologies and Applications (May 2005)
Doolin, D.M., Sitar, N.: Wireless sensors for wildfire monitoring. In: Proceedings of the 2nd international conference on Mobile systems, applications, and services, San Diego, CA, USA (March 2005)
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Gaglio, S., Gatani, L., Lo Re, G., Ortolani, M. (2007). Understanding the Environment Through Wireless Sensor Networks. In: Basili, R., Pazienza, M.T. (eds) AI*IA 2007: Artificial Intelligence and Human-Oriented Computing. AI*IA 2007. Lecture Notes in Computer Science(), vol 4733. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74782-6_8
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DOI: https://doi.org/10.1007/978-3-540-74782-6_8
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