Developing E-society Cognitive Platform Based on the Social Agent E-learning Goal Oriented
Author(s)
Jamal Raiyn
ABSTRACT
In this paper we introduce the e-society cognitive approach based on the social agent. The social Agent is e-learning oriented. The e-society cognitive platform may consider different fields like e-learning, e-health, e-commerce, e-medicine, and e-government. In this paper we will introduce the e-society platform. The e-society platform supports the educational and pedagogical aspects. The e-society is based on the agent technologies. The social agents offer impressive, meaningful and several features as autonomy, manage ne-gotiation, and make decision. The e-society cognitive platform consists of three main layers: social agents, beliefs, and tools for application layer. The goal of the e-society platform is to increase the perceiving of the transportation education in the school.
In this paper we introduce the e-society cognitive approach based on the social agent. The social Agent is e-learning oriented. The e-society cognitive platform may consider different fields like e-learning, e-health, e-commerce, e-medicine, and e-government. In this paper we will introduce the e-society platform. The e-society platform supports the educational and pedagogical aspects. The e-society is based on the agent technologies. The social agents offer impressive, meaningful and several features as autonomy, manage ne-gotiation, and make decision. The e-society cognitive platform consists of three main layers: social agents, beliefs, and tools for application layer. The goal of the e-society platform is to increase the perceiving of the transportation education in the school.
Cite this paper
nullJ. Raiyn, "Developing E-society Cognitive Platform Based on the Social Agent E-learning Goal Oriented," Advances in Internet of Things, Vol. 1 No. 1, 2011, pp. 1-4. doi: 10.4236/ait.2011.11001.
nullJ. Raiyn, "Developing E-society Cognitive Platform Based on the Social Agent E-learning Goal Oriented," Advances in Internet of Things, Vol. 1 No. 1, 2011, pp. 1-4. doi: 10.4236/ait.2011.11001.
References
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[1] S. Franklin and A. Graesser, “Is It an Agent, or Just a Program: A Taxonomy for Autonomous Agents,” Proceedings of the 3rd International Workshop on Agent Theories, Architectures, and Languages, Heidelberg, August 1996, pp. 1-10. [2] M. Wooldridge and N. R. Jennings, “Intelligent Agents: Theory and Practice,” The Knowledge Engineering Review, Vol. 10, No. 2, 1995, pp. 115-152. [3] S. Russell and P. Norvig, “Ar-tificial Intelligence: A Modern Approach,” Prentice Hall, Englewood Cliffs, 1995. [4] G. D. Jacobs and I. Sayer, “Road Accidents in Developing Countries,” Accident Analysis & Pre-vention, Vol. 15. No. 5. 1983, pp. 337-353. [5] M. P. Salmon and G. M. Lenne, “Systems-Based Human Factors Analysis of Road Traffic Accidents: Barriers and Solutions,” Australasian Road Safety Research, Policing and Education Conference, Sydney, 10-13 November 2009, pp. 418-426. [6] B. Chen and H. Cheng, “A Review of the Applications of Agent Tech-nology in Traffic and Transportation Systems,” IEEE Transac-tions on Intelligent Transportation Systems, Vol. 11, No. 2, June 2010, pp. 485-497. doi:10.1109/TITS.2010.2048313