'State update state state' diaporamas de présentation

Chapter 03

Artificial Intelligence. Chapter 03. Solving problems by searching. Outline. Problem-solving agents Problem types Problem formulation Example problems Basic search algorithms [Slides 60-134]. Search. Search permeates all of AI What choices are we searching through?

2.08k views • 207 slides

Chapter 03-01

Artificial Intelligence. Chapter 03-01. Solving Problems by Searching: Introduction to Problem Solving. Outline. Problem-solving agents Problem types Problem formulation Example problems Basic search algorithms Uninformed Search Strategies [Ch 03_02]

985 views • 98 slides

AI I: problem solving and search

AI I: problem solving and search. Outline. Problem-solving agents A kind of goal-based agent Problem types Single state (fully observable) Search with partial information Problem formulation Example problems Basic search algorithms Uninformed. Example: Romania. Example: Romania.

909 views • 82 slides

AI: problem solving and search

AI: problem solving and search. Outline. Problem-solving agents A kind of goal-based agent Problem types Single state (fully observable) Search with partial information Problem formulation Example problems Basic search algorithms Uninformed. Example: Romania. Example: Romania.

1.6k views • 82 slides

AI I: problem-solving and search

AI I: problem-solving and search. Outline. Problem-solving agents A kind of goal-based agent Problem types Single state (fully observable) Search with partial information Problem formulation Example problems Basic search algorithms Uninformed. Problem-solving agent.

1.74k views • 78 slides

Basic search methods

949 views • 76 slides

CS 416 Artificial Intelligence

628 views • 45 slides

Intelligent Agents

671 views • 43 slides

CS 416 Artificial Intelligence

CS 416 Artificial Intelligence. Lecture 3 Uninformed Searches (mostly copied from Berkeley). Outline. Problem Solving Agents Restricted form of general agent Problem Types Fully vs. partially observable, deterministic vs. stochastic Problem Formulation

633 views • 32 slides

ITCS 3153 Artificial Intelligence

ITCS 3153 Artificial Intelligence. Lecture 3 Uninformed Searches (mostly copied from Berkeley). Outline. Problem Solving Agents Restricted form of general agent Problem Types Fully vs. partially observable, deterministic vs. stochastic Problem Formulation

514 views • 32 slides

Intelligent Agents

Intelligent Agents. Chapter 2. Outline. Agents and environments Rationality PEAS (Performance measure, Environment, Actuators, Sensors) Environment types Agent types. Agents. An agent is an entity that perceives and acts

562 views • 31 slides

C463 / B551 Artificial Intelligence

C463 / B551 Artificial Intelligence. Dana Vrajitoru Intelligent Agents. Intelligent Agent. Agent : entity in a program or environment capable of generating action. An agent uses perception of the environment to make decisions about actions to take.

332 views • 22 slides