'Path cost' diaporamas de présentation

Midterm Review

Midterm Review. CS171, Fall Quarter, 2018 Introduction to Artificial Intelligence Prof. Richard Lathrop. Read Beforehand: R&N All Assigned Reading Chaps. 1-4, 7-9, 13-14. Review Agents Chapter 2.1-2.3. Agent definition (2.1) Rational Agent definition (2.2) Performance measure

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CS 541: Artificial Intelligence

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Chapter 3

Chapter 3. 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 Hence, goal-based agent is used.

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CSCE 580 Artificial Intelligence Ch.3: Uninformed (Blind) Search

CSCE 580 Artificial Intelligence Ch.3: Uninformed (Blind) Search. Fall 2008 Marco Valtorta mgv@cse.sc.edu. Acknowledgment. The slides are based on the textbook [AIMA] and other sources, including other fine textbooks The other textbooks I considered are:

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Basic search methods

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Review: Search problem formulation

Review: Search problem formulation. Initial state Actions Transition model Goal state Path cost What is the optimal solution? What is the state space?. Review: Tree search. Initialize the fringe using the starting state While the fringe is not empty

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CCNA 3 Module 7

CCNA 3 Module 7. Spanning Tree Protocol. Learner Outcomes. After completing this module, students will be able to: Define redundancy and its importance in networking Describe the key elements of a redundant networking topology

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BGP

BGP. EE 122, Fall 2013 Sylvia Ratnasamy http://inst.eecs.berkeley.edu/~ee122 / Material thanks to Ion Stoica , Scott Shenker , Jennifer Rexford, and many other colleagues. BGP: The story so far. Destinations are IP prefixes (12.0.0.0/8) Nodes are Autonomous Systems ( ASes )

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Routing and Routers

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Atomic Routing Games on Maximum Congestion

Atomic Routing Games on Maximum Congestion. Costas Busch Department of Computer Science Louisiana State University. Collaborators: Rajgopal K annan , LSU Malik Magdon -Ismail, RPI. Outline of Talk. Introduction. Price of Stability. Price of Anarchy. Bicriteria Game.

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Artificial Intelligence Chapter 4: Informed Search and Exploration

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Artificial Intelligence - Intelligent Agents

f1(s) = (number of white queens) (number of black queens), etc. ... Othello: human champions refuse to compete against computers, who are too good. ...

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Lecture 3

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New Graph Bipartizations for Double-Exposure, Bright Field Alternating Phase-Shift Mask Layout

New Graph Bipartizations for Double-Exposure, Bright Field Alternating Phase-Shift Mask Layout. Andrew B. Kahng (UCSD) Shailesh Vaya (UCLA) Alex Zelikovsky (GSU). Outline. Subwavelength lithography Alternating PSM Phase assignment problem Minimum perturbation problem

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Your chance to review

Your chance to review. Consider a state space where the start state is number 1 and the successor function for state n returns two states, numbers 2n and 2n+1. Draw the portion of the state space for states 1 to 15.

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Solving Problems by Searching

Solving Problems by Searching. Terminology. State State Space Initial State Goal Test Action Step Cost Path Cost State Change Function State-Space Search. Formal State-Space Model. Problem = (S, s, A, f, g, c). S = state space s = initial state A = set of actions

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Uninformed Search

Uninformed Search. ECE457 Applied Artificial Intelligence Spring 2007 Lecture #2. Outline. Problem-solving by searching Uninformed search techniques Russell & Norvig, chapter 3. Problem-solving by searching. An agent needs to perform actions to get from its current state to a goal .

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Solving problems by searching

Solving problems by searching. Chapter 3. Image source: Wikipedia. Types of agents. Reflex agent. Planning agent. Consider how the world WOULD BE Decisions based on ( hypothesized) consequences of actions Must have a model of how the world evolves in response to actions

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Routing Strategies

Routing Strategies. Fixed Routing A route is selected for each source-destination pair of nodes in the network No difference between routing for datagrams and virtual circuits Simplicity, but lack of flexibility Refinement: supply the nodes with an alternate next node for each destination.

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Pseudocode AStar

Pseudocode AStar. Heuristics - how to determine what's a good next step?

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