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About AI Lab Lab Manual 23 24
This document provides an overview of the Artificial Intelligence lab for semester 5. It outlines the lab objectives which include designing agent architectures, implementing knowledge representation and reasoning, problem solving agents, and reasoning under uncertainty. The lab outcomes are also listed, which are skills students should gain related to implementing search techniques, logic programming, Bayesian networks, and case studies of AI systems. The document then lists 10 experiments covering applications of AI, agent architectures, Prolog programming, search techniques, adversarial search, local search, logical inference, Bayesian networks, and case studies. Details are provided for the first experiment which involves studying different AI applications using the PEAS framework to analyze performance measures, environments, actuators, and sensors. Examples of agents described include
Detailed Information
| Author: | ['ANIKET LOHKARE'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 33 |
| Language: | English |
| Format: | |
| Price: | FREE |
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