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- Python code for the book * Artificial Intelligence: A Modern Approach.* You can use this in conjunction with a course on AI, or for study on your own. We're loooking for [ solid contributors] ( https://github.com/aimacode/aima-python/blob/master/CONTRIBUTING.md ) to help.
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+ Python code for the book * Artificial Intelligence: A Modern Approach.* You can use this in conjunction with a course on AI, or for study on your own. We're looking for [ solid contributors] ( https://github.com/aimacode/aima-python/blob/master/CONTRIBUTING.md ) to help.
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## Python 3.4
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@@ -48,7 +48,7 @@ Here is a table of algorithms, the figure, name of the code in the book and in t
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| 4.8 | Genetic-Algorithm | ` genetic_algorithm ` | [ ` search.py ` ] ( ../master/search.py ) |
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| 4.11 | And-Or-Graph-Search | ` and_or_graph_search ` | [ ` search.py ` ] ( ../master/search.py ) |
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| 4.21 | Online-DFS-Agent | ` online_dfs_agent ` | [ ` search.py ` ] ( ../master/search.py ) |
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- | 4.24 | LRTA\* -Agent | | |
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+ | 4.24 | LRTA\* -Agent | ` LRTAStarAgent ` | [ ` search.py ` ] ( ../master/search.py ) |
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| 5.3 | Minimax-Decision | ` minimax_decision ` | [ ` games.py ` ] ( ../master/games.py ) |
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| 5.7 | Alpha-Beta-Search | ` alphabeta_search ` | [ ` games.py ` ] ( ../master/games.py ) |
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| 6 | CSP | ` CSP ` | [ ` csp.py ` ] ( ../master/csp.py ) |
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| 7.17 | DPLL-Satisfiable? | ` dpll_satisfiable ` | [ ` logic.py ` ] ( ../master/logic.py ) |
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| 7.18 | WalkSAT | ` WalkSAT ` | [ ` logic.py ` ] ( ../master/logic.py ) |
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| 7.20 | Hybrid-Wumpus-Agent | | |
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- | 7.22 | SATPlan | |
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+ | 7.22 | SATPlan | ` SAT_plan ` | [ ` logic.py ` ] ( ../master/logic.py ) |
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| 9 | Subst | ` subst ` | [ ` logic.py ` ] ( ../master/logic.py ) |
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| 9.1 | Unify | ` unify ` | [ ` logic.py ` ] ( ../master/logic.py ) |
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| 9.3 | FOL-FC-Ask | ` fol_fc_ask ` | [ ` logic.py ` ] ( ../master/logic.py ) |
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| 14.13 | Prior-Sample | ` prior_sample ` | [ ` probability.py ` ] ( ../master/probability.py ) |
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| 14.14 | Rejection-Sampling | ` rejection_sampling ` | [ ` probability.py ` ] ( ../master/probability.py ) |
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| 14.15 | Likelihood-Weighting | ` likelihood_weighting ` | [ ` probability.py ` ] ( ../master/probability.py ) |
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- | 14.16 | Gibbs-Ask | |
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+ | 14.16 | Gibbs-Ask | ` gibbs_ask ` | [ ` probability.py ` ] ( ../master/probability.py ) |
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| 15.4 | Forward-Backward | ` forward_backward ` | [ ` probability.py ` ] ( ../master/probability.py ) |
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| 15.6 | Fixed-Lag-Smoothing | ` fixed_lag_smoothing ` | [ ` probability.py ` ] ( ../master/probability.py ) |
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| 15.17 | Particle-Filtering | ` particle_filtering ` | [ ` probability.py ` ] ( ../master/probability.py ) |
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| 17.7 | POMDP-Value-Iteration | | |
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| 18.5 | Decision-Tree-Learning | ` DecisionTreeLearner ` | [ ` learning.py ` ] ( ../master/learning.py ) |
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| 18.8 | Cross-Validation | ` cross_validation ` | [ ` learning.py ` ] ( ../master/learning.py ) |
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- | 18.11 | Decision-List-Learning | |
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- | 18.24 | Back-Prop-Learning | |
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+ | 18.11 | Decision-List-Learning | ` DecisionListLearner ` | [ ` learning.py ` ] ( ../master/learning.py ) |
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+ | 18.24 | Back-Prop-Learning | ` BackPropagationLearner ` | [ ` learning.py ` ] ( ../master/learning.py ) |
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| 18.34 | AdaBoost | ` AdaBoost ` | [ ` learning.py ` ] ( ../master/learning.py ) |
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| 19.2 | Current-Best-Learning | |
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| 19.3 | Version-Space-Learning | |
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| 19.8 | Minimal-Consistent-Det | |
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| 19.12 | FOIL | |
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- | 21.2 | Passive-ADP-Agent | ` PassiveADPAgent ` | [ ` rl.py ` ] ( ../master/rl.py ) |
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+ | 21.2 | Passive-ADP-Agent | | |
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| 21.4 | Passive-TD-Agent | ` PassiveTDAgent ` | [ ` rl.py ` ] ( ../master/rl.py ) |
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| 21.8 | Q-Learning-Agent | ` QLearningAgent ` | [ ` rl.py ` ] ( ../master/rl.py ) |
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| 22.1 | HITS | | |
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| 23 | Chart-Parse | ` Chart ` | [ ` nlp.py ` ] ( ../master/nlp.py ) |
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- | 23.5 | CYK-Parse | | |
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+ | 23.5 | CYK-Parse | ` CYK_parse ` | [ ` nlp.py ` ] ( ../master/nlp.py ) |
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| 25.9 | Monte-Carlo-Localization| |
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