Poole D. Python Code for Artificial Intelligence...Computational Agents 2024
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Poole D. Python Code for Artificial Intelligence...Computational Agents 2024
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Added: 11 months ago (2025-03-10 23:38:58)
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Last updated: 14 hours ago (2026-03-05 01:32:41)
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Textbook in PDF format
We use Python because Python programs can be close to pseudo-code. It is designed for humans to read. Python is reasonably efï¬cient. Efï¬ciency is usually not a problem for small examples. If your Python code is not efï¬cient enough, a general procedure to improve it is to ï¬nd out what is taking most the time, and implement just that part more efï¬ciently in some lower-level language. Most of these lower level languages interoperate with Python nicely. This will result in much less programming and more efï¬cient code (because you will have more time to optimize) than writing everything in a low-level language. You will not have to do that for the code here if you are using it for course projects.
Python for Artificial Intelligence.
Agent Architectures and Hierarchical Control.
Searching for Solutions.
Reasoning with Constraints.
Propositions and Inference.
Deterministic Planning.
Supervised Machine Learning.
Neural Networks and Deep Learning.
Reasoning with Uncertainty.
Learning with Uncertainty.
Causality.
Planning with Uncertainty.
Reinforcement Learning.
Multiagent Systems.
Individuals and Relations.
Knowledge Graphs and Ontologies.
Relational Learning.
Version History.
Bibliography.
Index