Practical Artificial Intelligence Machine Learning, Bots, and Agent Solutions Using C# /

Discover how all levels Artificial Intelligence (AI) can be present in the most unimaginable scenarios of ordinary lives. This book explores neural networks, agents, multi agent systems, supervised learning, and unsupervised learning. These and other topics will be addressed with real world examples...

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Bibliographic Details
Main Author: Pérez Castaño, Arnaldo (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berkeley, CA : Apress : Imprint: Apress, 2018.
Edition:1st ed. 2018.
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • 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.