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A Generic Intelligent Agent Design Approach Based on Artificial Neural Networks

World Journal of Engineering and Technology 2023年第4期11卷 682-697页

作者： Thierry Noulamo Alain Djimeli-Tsajio Roger Kameugne Jean-Pierre Lienou UIT Fotso Victor of Bandjoun University of Dschang Dschang Cameroon Faculty of Sciences University of Maroua Maroua Cameroon College of Technology University of Bamenda Bamenda Cameroon

Artificial intelligence in general and software agents in particular are recognized as computer science disciplines that aim to model or simulate so-called intelligent human behaviors such as perception, decision-making, understanding, learning, etc. This work presents an approach to designing a generic Intelligent Agent that can be used in a multi-agent system to solve a complex problem. The generic agent that is proposed can be instantiated as a concrete agent, which is enabled with learning and autonomy capabilities by using Artificial Neural Networks. To highlight the generic aspect, the proposition is instantiated to be used in agriculture, health and education. The instantiated software agent applied in agriculture can process images in real time and detect defect on plants’ leaf. In the health field, the agent process image to diagnose breast cancer. When applied in Education, the agent can load an image of a student’s script and grade it. The performance of the designed agent system has the same accuracy as that of the respective neural networks used to instantiate them. In the educational field, the software agent has an accuracy of 98.9% and in the health field, it has an accuracy of 99.56% while in the agricultural field, it has an accuracy of 97.2%.

关键词： Artificial intelligence Abstract Agents design formal neurons interconnection Multi-Agent System

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