May 1, 2024
Updated May 9, 2025
21 minute read
Heuristics, at their core, are mental shortcuts or "rules of thumb" that people and machines use to make decisions and solve problems quickly and efficiently. These strategies don't guarantee a perfect or optimal solution every time, but they are incredibly useful for navigating complex situations where time and information are limited. Think of them as the brain's way of taking an educated guess rather than performing an exhaustive analysis. This approach allows us to function effectively in our daily lives without getting bogged down by analyzing every single piece of information for every decision we make.
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Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Heuristics.
Provides a comprehensive overview of heuristic search techniques, with a focus on their use in artificial intelligence.
Provides a comprehensive overview of heuristic programming, with a focus on its use in artificial intelligence.
This paper describes the simulated annealing algorithm, which type of heuristic search technique.
Provides a comprehensive overview of genetic algorithms, which are a type of heuristic search technique.
Provides a comprehensive overview of ant colony optimization, which type of heuristic search technique.
Provides a comprehensive overview of tabu search, which type of heuristic search technique.
Provides a comprehensive overview of artificial intelligence, including a chapter on heuristic search.
Provides a comprehensive overview of machine learning, including a chapter on heuristic search.
Provides a comprehensive overview of pattern recognition and machine learning, including a chapter on heuristic search.
Provides a comprehensive overview of data mining, including a chapter on heuristic search.
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