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Knowledge Based Artificial Intelligence

Track :

Programming

Lessons no : 98

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What will you learn in this course?
  • Develop and implement knowledge-based AI systems for expert decision support and problem-solving in various domains
  • Apply knowledge representation techniques to encode expert knowledge effectively in AI applications
  • Design and develop expert systems using rule-based, semantic, and frame-based approaches for real-world problem solving
  • Evaluate the performance and accuracy of knowledge-based AI systems in practical scenarios and decision-making processes
  • Integrate knowledge acquisition and learning methods to update and refine AI knowledge bases dynamically
  • Utilize inference engines to derive conclusions and support reasoning within knowledge-based AI systems
  • Implement knowledge management strategies to organize, store, and retrieve expert knowledge efficiently
  • Analyze ethical considerations and limitations of knowledge-based AI systems in sensitive decision-making contexts
  • Apply logical reasoning and deduction techniques to enhance the decision-making capabilities of AI systems
  • Develop knowledge-based AI applications for healthcare, finance, and industrial automation sectors
  • Use knowledge engineering tools to build, test, and maintain expert systems effectively
  • Identify challenges in knowledge acquisition, representation, and reasoning in AI development
  • Implement user interfaces for knowledge-based AI systems to improve usability and interaction
  • Assess the impact of knowledge-based AI on business processes and organizational decision-making
  • Apply best practices for maintaining and updating knowledge bases to ensure system relevance and accuracy
  • Explore emerging trends and innovations in knowledge-based artificial intelligence for future applications

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Lessons | 98
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A knowledge-based system (KBS) is a form of artificial intelligence (AI) that aims to capture the knowledge of human experts to support decision-making. Examples of knowledge-based systems include expert systems, which are so called because of their reliance on human expertise.