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About Artificial Intelligence CS-3431w (V2)
This document summarizes a lecture on artificial intelligence and constraint satisfaction problems (CSPs). It discusses constraint propagation techniques like arc consistency and the AC-3 algorithm. It provides an example of applying AC-3 to a CSP. It also discusses iterative algorithms like hill climbing and simulated annealing that can be applied to CSPs by allowing partial assignments. Finally, it summarizes that CSPs define problems with variables and constraints, and techniques like variable ordering, value selection heuristics, forward checking, and constraint propagation help solve CSPs more efficiently.
Detailed Information
| Author: | ['Nisha Idrees'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 23 |
| Language: | English |
| Format: | |
| Price: | FREE |
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