'Combinatorial explosion' diaporamas de présentation

Fuzzy Logic

Fuzzy Logic. CIS 488/588 Bruce R. Maxim UM-Dearborn. World Objects. Items Direct effect on player state (e.g. health or armor) No direct effect on player state (e.g. invincibility) Strategies to maximize benefits of object collection are important for game bots to appear smart

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A Review of Sequential Supervised Learning

A Review of Sequential Supervised Learning. Guohua Hao School of Electrical Engineering and Computer Science Oregon State University. Outline. Sequential supervised learning Evaluation criteria Methods for sequential supervised learning Open problems. Traditional supervised learning.

787 views • 48 slides

Artificial Intelligence A Modern Approach

Artificial Intelligence A Modern Approach. Introduction to Artificial Intelligence. Course overview: Foundations of symbolic intelligent systems. Agents, search, problem solving, logic, representation, reasoning, symbolic programming, and robotics.

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Operations Research: The Science of Better

Operations Research: The Science of Better. What we do. Our accomplishments Our mission Our expertise Our scope Our approach Our services. Our accomplishments. [name of client/organization] [business problem] [O.R. solution] [value we delivered]. Our mission.

920 views • 46 slides

Gareth Bellaby

CO2301 - Games Development 1 Week 8 Depth-first search, Combinatorial Explosion, Heuristics, Hill-Climbing. Gareth Bellaby. Topic 1. Breadth-first search. Breadth-first. The breadth-first algorithm always expands those nodes that are closest to the start node. On the grid we examine:

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Introduction to Artificial Intelligence (G51IAI)

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StreamIt-A Programming Language for the Era of Multicores

StreamIt-A Programming Language for the Era of Multicores. Saman Amarasinghe Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Today: The Happily Oblivious Average Joe Programmer. Joe is oblivious about the processor

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Software Engineering Reading Group: Clean Code Chapter 3

Software Engineering Reading Group: Clean Code Chapter 3. Led by Nicholas Vaidyanathan http://www.nicholasvaidyanathan.info Lead Visionary, Visionary Software Solutions http://www.visionarysoftwaresolutions.com. Functions matter. Can you understand in 3 minutes?. How about this?. Small!.

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G5AIAI Introduction to Artificial Intelligence

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Predicate Calculus

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Chapter 3 Knowledge Representation

Chapter 3 Knowledge Representation. Chapter 3 Contents. The need for a good representation Semantic nets Inheritance Frames Object oriented programming Search trees Combinatorial explosion Problem reduction. The Need for a Good Representation.

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G5AI AI Introduction to AI

G5AI AI Introduction to AI. Combinatorial Explosion. Graham Kendall. Graham Kendall GXK@CS.NOTT.AC.UK www.cs.nott.ac.uk/~gxk +44 (0) 115 846 6514. The Travelling Salesman Problem. A salesperson has to visit a number of cities (S)He can start at any city and must finish at that same city

368 views • 23 slides

Thesaurus Mapping

Thesaurus Mapping. Martin Doerr. Centre for Cultural Informatics and Documentation Systems. Institute of Computer Science. Foundation for Research and Technology - Hellas. Bath, UK, January 11, 2000. Thesaurus Mapping The Problem. Logical aspects Semantics of involved entities

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Not just numbers on shelves: using the DDC for information retrieval

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An Overview of Text Mining Rebecca Hwa 4/25/2002

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Introduction (Chapter 1)

Introduction (Chapter 1). CPSC 386 Artificial Intelligence Ellen Walker Hiram College. Goals of this Course. Become familiar with AI techniques, including implementation Be able to read and write AI programs in LISP, and to a lesser extent, Prolog and CLIPS

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Implementation of Search Algorithms

Implementation of Search Algorithms. Function GENERAL-SEARCH ( problem, queing-fn) returns a solution or failure queue ? MAKE-QUEUE (MAKE-NODE(INITIAL-STATE[ problem ])) loop do if queue is empty, then return failure node ? Remove-Front( queue )

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Ontology Engineering in OWL

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A Novel MHCp Binding Prediction Model

Pandjassarame Kangueane Email: mpandjassarame@ntu.edu.sg. A Novel MHCp Binding Prediction Model. School of Mechanical & Production Engineering Nanyang Technological University. T-cell Epitope. Peptide. MHC. [MHC-peptide]. [MHC-Peptide-TCR]. +. Imagine the Combinatorial Explosion.

163 views • 3 slides