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Documents SEARCH So far we have seen how to define a problem in terms of states (initial and goal) and...

Slide 1 SEARCH So far we have seen how to define a problem in terms of states (initial and goal) and operators, and how to recognize a solution as a sequence of operator…

Documents How to Measure Information: - from Action to Cognition - Matthias Rauterberg Department of...

Slide 1 How to Measure Information: - from Action to Cognition - Matthias Rauterberg Department of Industrial Design Technical University Eindhoven 2004 Slide 2 © M. Rauterberg,…

Documents 1 Heuristic (Informed) Search (Where we try to be smarter in how we choose among alternatives) R&N.....

Slide 1 1 Heuristic (Informed) Search (Where we try to be smarter in how we choose among alternatives) R&N III: Chapter 3.5 R&N II: Chap. 4, Sect. 4.1–3 Slide 2…

Documents Managing Search General Game PlayingLecture 5 Michael Genesereth / Nat Love Spring 2006.

Slide 1 Managing Search General Game PlayingLecture 5 Michael Genesereth / Nat Love Spring 2006 Slide 2 2 Game Tree Search X OX O X OX OX X OX OX O X OX OX O X X OX OX O…

Documents Petri Net Modeling for dynamic MM composite Object.

Slide 1 Petri Net Modeling for dynamic MM composite Object Slide 2 Composite MM object The first text and image shall start simultaneously. The video must start 10 seconds…

Documents CMSC 671 Fall 2005 Class #3/4 – Thursday, September 8 / Tuesday, September 13.

Slide 1 CMSC 671 Fall 2005 Class #3/4 – Thursday, September 8 / Tuesday, September 13 Slide 2 Today’s class Goal-based agents Representing states and operators Example…

Documents Chapter 6: Applying the PSSH

Chapter 6: Applying the PSSH Overview Explain why ID3 and SHAKEY both count as illustrations of the heuristic search hypothesis Introduce frame problem Introduce background…

Documents MIDTERM REVIEW. Intelligent Agents Percept: the agent’s perceptual inputs at any given instant...

midterm review midterm review Intelligent Agents Percept: the agent’s perceptual inputs at any given instant Percept Sequence: the complete history of everything the agent…

Documents CMSC 671 Fall 2005

CMSC 671 Fall 2005 Class #3/4 â Thursday, September 8 / Tuesday, September 13 Todayâs class Goal-based agents Representing states and operators Example problems Generic…

Documents CMSC 671 Fall 2005

CMSC 671 Fall 2005 Class #3/4 â Thursday, September 8 / Tuesday, September 13 Todayâs class Goal-based agents Representing states and operators Example problems Generic…