ABDITS Analysis, Design, and Working of Agents

ABDITS Analysis, Design, and Working of Agents

Shweta Mahlawat, Praveen Dhyani, OmPrakash Rishi
ISBN13: 9781522522348|ISBN10: 1522522344|EISBN13: 9781522522355
DOI: 10.4018/978-1-5225-2234-8.ch004
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MLA

Mahlawat, Shweta, et al. "ABDITS Analysis, Design, and Working of Agents." Maximizing Business Performance and Efficiency Through Intelligent Systems, edited by Om Prakash Rishi and Anukrati Sharma, IGI Global, 2017, pp. 73-100. https://doi.org/10.4018/978-1-5225-2234-8.ch004

APA

Mahlawat, S., Dhyani, P., & Rishi, O. (2017). ABDITS Analysis, Design, and Working of Agents. In O. Rishi & A. Sharma (Eds.), Maximizing Business Performance and Efficiency Through Intelligent Systems (pp. 73-100). IGI Global. https://doi.org/10.4018/978-1-5225-2234-8.ch004

Chicago

Mahlawat, Shweta, Praveen Dhyani, and OmPrakash Rishi. "ABDITS Analysis, Design, and Working of Agents." In Maximizing Business Performance and Efficiency Through Intelligent Systems, edited by Om Prakash Rishi and Anukrati Sharma, 73-100. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-2234-8.ch004

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Abstract

Agent technology has been suggested by experts to be a promising approach to address the challenges of the modern computer based education. “An autonomous agent is a system situated within and a part of an environment that senses that environment and acts on it, over time, in pursuit of its own agenda and so as to effect what it senses in the future” (Franklin & Graesser, 1996). Any agent, in accordance with this definition, satisfies four properties: autonomy, social ability, reactivity and pro-activeness. By using intelligent agents in an ITS architecture it is possible to obtain an individual tutoring system adapted to the needs and characteristics of every student. In this chapter, the authors are going to present a multiagent system i.e. named ABDITS which is distributed, dynamic, intelligent and adaptive with Pedagogy view for learners in intelligent system. This system is an integration of adaptive web-based learning with expert systems as well. A crucial feature of the ABDITS personal agent is that the case based reasoning approach for student modeling.

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