Description

Book Synopsis
Chapter 1: Logic & AI.- Chapter 2: Automated Theorem Proving & First Order Logic.- Chapter 3: Agents.- Chapter 4: Mars Rover.- Chapter 5: Multi-Agent Systems.- Chapter 6: Communication in a Multi-Agent System using WCF.- Chapter 7: Cleaning Agents: A multi-Agent System Problem.- Chapter 8: Simulation.- Chapter 9: Support Vector Machines.- Chapter 10: Decision Trees.- Chapter 11: Neural Networks.- Chapter 12: Handwritten Digit Recognition. - Chapter 13: Clustering & Multi-Objective Clustering.- Chapter 14: Metaheuristics.-  Chapter 15: Game Programming.- Chapter 16: Game Theory - Adversarial Search & Othello Game.- Chapter 17: Reinforcement Learning.


Table of Contents
Practical Artificial Intelligence
Chapter 1: Logic & AI
Chapter 2: Automated Theorem Proving & First Order Logic
Chapter 3: Agents
Chapter 4: Mars Rover
Chapter 5: Multi-Agent Systems
Chapter 6: Communication in a Multi-Agent System using WCF
Chapter 7: Cleaning Agents: A multi-Agent System Problem
Chapter 8: Simulation
Chapter 9: Support Vector Machines
Chapter 10: Decision Trees
Chapter 11: Neural Networks
Chapter 12: Handwritten Digit Recognition
Chapter 13: Clustering & Multi-Objective Clustering
Chapter 14: Metaheuristics
Chapter 15: Vines & Copulas
Chapter 16: Game Programming
Chapter 17: Sliding Tiles Puzzle & Othello Game
Chapter 18: Reinforcement Learning

Practical Artificial Intelligence

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    A Paperback / softback by Arnaldo Pérez Castaño

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      Publisher: APress
      Publication Date: 24/05/2018
      ISBN13: 9781484233566, 978-1484233566
      ISBN10: 1484233565
      Also in:
      Artificial intelligence (AI)

      Description

      Book Synopsis
      Chapter 1: Logic & AI.- Chapter 2: Automated Theorem Proving & First Order Logic.- Chapter 3: Agents.- Chapter 4: Mars Rover.- Chapter 5: Multi-Agent Systems.- Chapter 6: Communication in a Multi-Agent System using WCF.- Chapter 7: Cleaning Agents: A multi-Agent System Problem.- Chapter 8: Simulation.- Chapter 9: Support Vector Machines.- Chapter 10: Decision Trees.- Chapter 11: Neural Networks.- Chapter 12: Handwritten Digit Recognition. - Chapter 13: Clustering & Multi-Objective Clustering.- Chapter 14: Metaheuristics.-  Chapter 15: Game Programming.- Chapter 16: Game Theory - Adversarial Search & Othello Game.- Chapter 17: Reinforcement Learning.


      Table of Contents
      Practical Artificial Intelligence
      Chapter 1: Logic & AI
      Chapter 2: Automated Theorem Proving & First Order Logic
      Chapter 3: Agents
      Chapter 4: Mars Rover
      Chapter 5: Multi-Agent Systems
      Chapter 6: Communication in a Multi-Agent System using WCF
      Chapter 7: Cleaning Agents: A multi-Agent System Problem
      Chapter 8: Simulation
      Chapter 9: Support Vector Machines
      Chapter 10: Decision Trees
      Chapter 11: Neural Networks
      Chapter 12: Handwritten Digit Recognition
      Chapter 13: Clustering & Multi-Objective Clustering
      Chapter 14: Metaheuristics
      Chapter 15: Vines & Copulas
      Chapter 16: Game Programming
      Chapter 17: Sliding Tiles Puzzle & Othello Game
      Chapter 18: Reinforcement Learning

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