'Single state problem formulation' presentation slideshows

CS 541: Artificial Intelligence

1.18k views • 93 slides

Chapter 3

Chapter 3. Sections 1 - 5. Solving Problems by Searching. Reflex agent is simple base their actions on a direct mapping from states to actions but cannot work well in environments which this mapping would be too large to store and would take too long to learn

1.08k views • 93 slides

An Introduction to Artificial Intelligence

An Introduction to Artificial Intelligence. Lecture 3: Solving Problems by Sorting Ramin Halavati (halavati@ce.sharif.edu). In which we look at how an agent can decide what to do by systematically considering the outcomes of various sequences of actions that it might take. Outline.

727 views • 62 slides

An Introduction to Artificial Intelligence

An Introduction to Artificial Intelligence. Lecture 3: Solving Problems by Sorting Ramin Halavati (halavati@ce.sharif.edu). In which we look at how an agent can decide what to do by systematically considering the outcomes of various sequences of actions that it might take. Outline.

705 views • 62 slides

SEG4560 Computational Intelligence for Decision Making Chapter 3: Solving problems by searching

SEG4560 Computational Intelligence for Decision Making Chapter 3: Solving problems by searching. Hong Cheng http://www.se.cuhk.edu.hk/~hcheng. Outline. Problem-solving agents Problem types Problem formulation Example problems Basic search algorithms. Problem-solving agents.

590 views • 58 slides

Solving problems by searching

Solving problems by searching. Chapter 3. Outline. Problem types Problem formulation Example problems Basic search algorithms. Example: Romania. On holiday in Romania; currently in Arad. Flight leaves tomorrow from Bucharest. Example: Romania. On holiday in Romania; currently in Arad.

716 views • 56 slides

Solving problems by searching

Solving problems by searching. Chapter 3. Outline. Problem-solving agents Problem types Problem formulation Example problems Basic search algorithms. Problem-solving agents. Example: Romania. On holiday in Romania; currently in Arad. Flight leaves tomorrow from Bucharest

747 views • 56 slides

Solving problems by searching

Solving problems by searching. Chapter 3. Outline. Problem-solving agents Problem types Problem formulation Example problems Basic search algorithms. Problem-solving agents. Example: Romania. On holiday in Romania; currently in Arad. Flight leaves tomorrow from Bucharest

714 views • 56 slides

Solving problems by searching

Solving problems by searching. Chapter 3. Outline. Problem-solving agents Problem types Problem formulation Example problems Basic search algorithms. Problem-solving agents. Example: Romania. On holiday in Romania; currently in Arad. Flight leaves tomorrow from Bucharest

666 views • 56 slides

Solving problems by searching

Solving problems by searching. Chapter 3. Outline. Problem-solving agents Problem types Problem formulation Example problems Basic search algorithms. Problem-solving agents (fig3.1). Example: Romania. On holiday in Romania; currently in Arad. Flight leaves tomorrow from Bucharest

642 views • 56 slides

Chapter 3 - Solving problems by searching

Tehran Technical College of Shariaty Fall 2008. Chapter 3 - Solving problems by searching. eadeli@iust.ac.ir. Outline. Problem-solving agents Problem types Problem formulation Example problems Basic search algorithms. Problem-solving agents. Example: Romania.

965 views • 55 slides

Solving Problems by Searching

Solving Problems by Searching. Chapter 3. Outline. Problem-solving agents Problem types Problem formulation Example problems Basic search algorithms. 1. 2. 3. 2. 8. 3. 8. 4. 1. 6. 4. 7. 5. 7. 6. 5. 8-puzzle problem. state description

828 views • 51 slides

Implementation: General Tree Search

Implementation: General Tree Search. Single-State Problem Formulation. A problem is defined by four items: initial state successor function (which actually defines all reachable states) goal test path cost (additive). Your chance to review. initial state Si = 1 successor function

318 views • 24 slides

Introduction to Artificial Intelligence CS 438 Spring 2008

Introduction to Artificial Intelligence CS 438 Spring 2008. Today AIMA, Ch. 3 Problem Solving Agents State space search Programming Assignment Thursday AIMA, Ch. 3 Uniformed Search. Can your IA make you money as a gold farmer?. Goal-based Problem Solving.

301 views • 16 slides