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teaching:is:main_is [2025/03/06 15:28]
Franconi Enrico [Slides & Reference Material] 		teaching:is:main_is [2025/04/30 10:27] (current)
Franconi Enrico [Lab]
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   * Slides: {{ :teaching:is:lect.1.0.pdf |Welcome Aboard}}   * Slides: {{ :teaching:is:lect.1.0.pdf |Welcome Aboard}}
-  * Slides: Artificial Intelligence and Agents {{ :teaching:is:ai-new-lect.1.0.pdf |parts 1 & 2}}, {{ :teaching:is:lect_01_3_h.pdf |part 3}}, {{ :teaching:is:lect_01_4_h.pdf |part 4}} +  * Slides: Artificial Intelligence and Agents {{ :teaching:is:ai-new-lect.1.0.pdf |parts 1 & 2}}, {{ :teaching:is:lect_01_3_h.pdf |part 3}}, {{ :teaching:is:lect_01_4_h.pdf |part 4}}, {{ :teaching:is:lect.2.1.pdf |part 5}} 
-    * Material: {{http://www.inf.unibz.it/~franconi/teaching/artint.info/html/ArtInt_2.html|chapter 1}} of //Poole and Mackworth//+    * Material: {{https://artint.info/3e/html/ArtInt3e.Ch1.html|chapter 1}} and {{https://artint.info/3e/html/ArtInt3e.Ch2.html|chapter 2}} of //Poole and Mackworth//
   * Slides: States and Searching {{:teaching:is:lect.3.1.pdf|part 1}}, {{:teaching:is:lect.3.2.pdf|part 2}}, {{:teaching:is:lect.3.3.pdf|part 3}}, {{:teaching:is:lect.3.4.pdf|part 4}}    * Slides: States and Searching {{:teaching:is:lect.3.1.pdf|part 1}}, {{:teaching:is:lect.3.2.pdf|part 2}}, {{:teaching:is:lect.3.3.pdf|part 3}}, {{:teaching:is:lect.3.4.pdf|part 4}} 
-    * Material: chapter 3 of //Poole and Mackworth//+    * Material: {{https://artint.info/3e/html/ArtInt3e.Ch3.html|chapter 3}} of //Poole and Mackworth//
   * Slides: Features and Constraints {{:teaching:is:lect.4.1.pdf|part 1}}, {{:teaching:is:lect.4.2.pdf|part 2}}   * Slides: Features and Constraints {{:teaching:is:lect.4.1.pdf|part 1}}, {{:teaching:is:lect.4.2.pdf|part 2}}
     * Material: chapter 4 of //Poole and Mackworth//     * Material: chapter 4 of //Poole and Mackworth//
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     * Explore with the search applet the **Delivery Robot (Acyclic)**, the **Delivery Robot (cyclic)**, the **Vancouver Neighbourood**, the **Module 4** sample problem graphs: with //Depth First//, //Breadth First//, //Lowest Cost First// search strategies using different //Neighbour Ordering Strategies//; practice also with the //quiz// facility.     * Explore with the search applet the **Delivery Robot (Acyclic)**, the **Delivery Robot (cyclic)**, the **Vancouver Neighbourood**, the **Module 4** sample problem graphs: with //Depth First//, //Breadth First//, //Lowest Cost First// search strategies using different //Neighbour Ordering Strategies//; practice also with the //quiz// facility.
     * Do the [[http://www.aispace.org/exercises.shtml|Practice Exercise]] 3.B.         * Do the [[http://www.aispace.org/exercises.shtml|Practice Exercise]] 3.B.    
-    * Exercise: practicing different search strategies with the graph in this {{teaching:is:search_bf_df_lcf.pdf|slides}} /* ({{ :teaching:is:search-problem.xml.zip |solution}} as a XML file for the applet) */+    * Exercise: practicing different search strategies with the graph in this {{teaching:is:search_bf_df_lcf.pdf|slides}} ({{ :teaching:is:search-problem.xml.zip |solution}} as a XML file for the applet) 
     * Create your own problem graph for a delivery robot starting from a map with edge costs.     * Create your own problem graph for a delivery robot starting from a map with edge costs.
     * Create a problem graph for a simple problem chosen by you.     * Create a problem graph for a simple problem chosen by you.
     * IMPORTANT: learn how to write on paper the frontier evolution for each search.     * IMPORTANT: learn how to write on paper the frontier evolution for each search.
 +      * describe a search on a graph by writing the frontier (i.e., a set of paths) at each step of the search, and by specifying the selected path from the frontier in one step leading to the next step.
 * <color #22b14c>LAB 2</color>: Graph Searching with Heuristics * <color #22b14c>LAB 2</color>: Graph Searching with Heuristics
     * Explore the **Delivery Robot (Acyclic)**, the **Delivery Robot (cyclic)**, the **Vancouver Neighbourood**, the **Module 4** sample problem graphs: with //Best First, Heuristic Depth First, A*, Branch and Bound// search strategies, with or without //Multiple-Path Pruning// or //Loop Detection//, using different //Neighbour Ordering Strategies//. Explore also the behaviour with the abovementioned search graphs with potentially non terminating depth first strategies (e.g., //Depth First// or //Heuristic Depth First//) without cycle checking, and with loop detection or multiple path pruning.     * Explore the **Delivery Robot (Acyclic)**, the **Delivery Robot (cyclic)**, the **Vancouver Neighbourood**, the **Module 4** sample problem graphs: with //Best First, Heuristic Depth First, A*, Branch and Bound// search strategies, with or without //Multiple-Path Pruning// or //Loop Detection//, using different //Neighbour Ordering Strategies//. Explore also the behaviour with the abovementioned search graphs with potentially non terminating depth first strategies (e.g., //Depth First// or //Heuristic Depth First//) without cycle checking, and with loop detection or multiple path pruning.
     * Do the [[http://www.aispace.org/exercises.shtml|Practice Exercises]] 3.C, 3.D, 3.E.      * Do the [[http://www.aispace.org/exercises.shtml|Practice Exercises]] 3.C, 3.D, 3.E. 
-    * Exercise: [[http://www.inf.unibz.it/~franconi/teaching/artint.info/html/ArtInt_71.html|3.4]] /* ([[teaching:is:heuristics-solution|solution]]). */+    * Exercise: [[http://www.inf.unibz.it/~franconi/teaching/artint.info/html/ArtInt_71.html|3.4]]([[teaching:is:heuristics-solution|solution]]). 
     * IMPORTANT:      * IMPORTANT: 
       * learn how to write on paper the frontier evolution for each search;       * learn how to write on paper the frontier evolution for each search;
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      * Explore with the CSP applet the sample problems: Simple Problem 1, Simple Problem 2, Scheduling Problem 1, Crossword Problem 1, Crossword Problem 2. These sample problems have been seen already in the course lectures; for the crossword problems, try to reconstruct the crossword graphical structure.      * Explore with the CSP applet the sample problems: Simple Problem 1, Simple Problem 2, Scheduling Problem 1, Crossword Problem 1, Crossword Problem 2. These sample problems have been seen already in the course lectures; for the crossword problems, try to reconstruct the crossword graphical structure.
     * Do the [[http://www.aispace.org/exercises.shtml|Practice Exercises]] 4.A, 4.B.      * Do the [[http://www.aispace.org/exercises.shtml|Practice Exercises]] 4.A, 4.B. 
-    * Exercises: [[http://www.inf.unibz.it/~franconi/teaching/artint.info/html/ArtInt_99.html|4.2, 4.3 (only a,b), 4.5]] - CSP and arc consistency /* ([[teaching:is:csp-solutions|solutions]]). */+    * Exercises: [[http://www.inf.unibz.it/~franconi/teaching/artint.info/html/ArtInt_99.html|4.2, 4.3 (only a,b), 4.5]] - CSP and arc consistency ([[teaching:is:csp-solutions|solutions]]).
 * <color #22b14c>LAB 5</color>: Propositions and Inference * <color #22b14c>LAB 5</color>: Propositions and Inference
     * Getting started with [[https://artint.info/code/ailog/ailog_man.html|AILog2]], a representation and reasoning system for definite clauses, with declarative debugging tools.     * Getting started with [[https://artint.info/code/ailog/ailog_man.html|AILog2]], a representation and reasoning system for definite clauses, with declarative debugging tools.
teaching/is/main_is.1741271316.txt.gz · Last modified: 2025/03/06 15:28 by Franconi Enrico

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