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--- teaching:is:main_is [2024/03/04 16:40]
Franconi Enrico [Slides & Reference Material]
+++ teaching:is:main_is [2024/04/23 09:51]
Franconi Enrico [Slides & Reference Material]
@@ Line 1: / Line 1: @@
-====== Foundations of Artificial Intelligence (FoundAI) ======
+====== Foundations of Artificial Intelligence ======
 ===== Watch the page =====
@@ Line 38: / Line 38: @@
   * Slides: Artificial Intelligence and Agents {{ :teaching:is:lect_01_1.pdf |parts 1 & 2}}, {{ :teaching:is:lect_01_3_h.pdf |part 3}}, {{ :teaching:is:lect_01_4_h.pdf |part 4}}
     * Material: chapter 1 of //Poole and Mackworth//
-  * Slides: Agent Architectures /* {{:teaching:is:lect.2.1.pdf|part 1}}, {{:teaching:is:lect.2.2.pdf|part 2}} */
+  * 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 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}} */
     * Material: 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//
-  * Slides: Propositions and Inference /* {{:teaching:is:lect.5.1.pdf|part 1}}, {{:teaching:is:lect.5.2.pdf|part 2}}, {{:teaching:is:lect.5.3.pdf|part 3}}, {{:teaching:is:lect.5.4.pdf|part 4}} */ \\ Slides: Diagnosis /* {{:teaching:is:lect.5.5.pdf|part 1}}, {{:teaching:is:lect.5.6.pdf|part 2}}, {{:teaching:is:lect.5.7.pdf|part 3}}, {{:teaching:is:lect.5.8.pdf|part 4}}, {{:teaching:is:lect.5.9.pdf|part 5}} */
+  * Slides: Propositions and Inference {{:teaching:is:lect.5.1.pdf|part 1}}, {{:teaching:is:lect.5.2.pdf|part 2}}, {{:teaching:is:lect.5.3.pdf|part 3}}, {{:teaching:is:lect.5.4.pdf|part 4}} \\ Slides: Diagnosis /* {{:teaching:is:lect.5.5.pdf|part 1}}, {{:teaching:is:lect.5.6.pdf|part 2}}, {{:teaching:is:lect.5.7.pdf|part 3}}, {{:teaching:is:lect.5.8.pdf|part 4}}, {{:teaching:is:lect.5.9.pdf|part 5}} */
     * Material: chapter 5 of //Poole and Mackworth//
   * Slides: Deterministic Planning /* {{ :teaching:is:lect.8.1 v4.pdf |part 1}}, {{ :teaching:is:lect.8.2 v4.pdf |part 2}}, {{ :teaching:is:lect.8.3 v4.pdf |part 3}}, {{ :teaching:is:lect.8.4 v4.pdf |part 4}} */
@@ Line 54: / Line 52: @@
 ===== Lab =====
-  * xxx
+  * <color #22b14c>LAB 1</color>: Graph Searching with uninformed techniques ({{ :teaching:is:search_applet.zip |Java applet}})
+    * Manuals:
+      * {{ :teaching:is:search_1_-_quick_start.pdf |Quick start}}
+      * {{ :teaching:is:search_2_-_general_help.pdf |General Help}}
+      * Tutorial 1: {{ :teaching:is:search_3_-_tutorial_1.pdf |Creating a New Graph}} with [[http://aispace.org/search/help/CreateASearchGraph.avi|video]]
+      * Tutorial 2: {{ :teaching:is:search_4_-_tutorial_2.pdf |Loading a Preexisting Graph}}
+      * Tutorial 3: {{ :teaching:is:search_5_-_tutorial_3.pdf |Solving a Graph}} with [[http://aispace.org/search/help/SolveASearchGraph.avi|video]]
+      * Tutorial 4: {{ :teaching:is:search_6_-_tutorial_4.pdf |Search Options}}
+    * 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.
+    * 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 a problem graph for a simple problem chosen by you.
+    * IMPORTANT: learn how to write on paper the frontier evolution for each search.
+* <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.
+    * 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]]).
+    * IMPORTANT:
+      * learn how to write on paper the frontier evolution for each search;
+      * check whether the heuristics are admissible and monotone.
+* <color #22b14c>LAB 3</color>: Constraints - Consistency
+    * [[http://aispace.org/constraint/|Consistency Based CSP Solver]] ({{:teaching:is:constraint.jar.zip|applet}}):
+     * 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.
+    * 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]]).

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