Coverart for item
The Resource Practical artificial intelligence : machine learning, bots, and agent solutions using C#, Arnaldo Pérez Castaño

Practical artificial intelligence : machine learning, bots, and agent solutions using C#, Arnaldo Pérez Castaño

Label
Practical artificial intelligence : machine learning, bots, and agent solutions using C#
Title
Practical artificial intelligence
Title remainder
machine learning, bots, and agent solutions using C#
Statement of responsibility
Arnaldo Pérez Castaño
Creator
Author
Subject
Language
eng
Summary
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, so you can learn fundamental concepts with AI solutions and apply them to your own projects. People tend to talk about AI as something mystical and unrelated to their ordinary life. Practical Artificial Intelligence provides simple explanations and hands on instructions. Rather than focusing on theory and overly scientific language, this book will enable practitioners of all levels to not only learn about AI but implement its practical uses
Cataloging source
N$T
http://library.link/vocab/creatorName
Pérez Castaño, Arnaldo
Dewey number
006.3
Illustrations
illustrations
Index
index present
LC call number
Q335
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/subjectName
  • Artificial intelligence
  • Machine learning
  • Robots
  • C (Computer program language)
  • Network hardware
  • Artificial intelligence
  • COMPUTERS
  • Artificial intelligence
  • C (Computer program language)
  • Machine learning
  • Robots
Label
Practical artificial intelligence : machine learning, bots, and agent solutions using C#, Arnaldo Pérez Castaño
Instantiates
Publication
Copyright
Note
Includes index
Antecedent source
unknown
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Intro; Table of Contents; About the Author; About the Technical Reviewer; Acknowledgments; Introduction; Chapter 1: Logic & AI; What Is Logic?; Propositional Logic; Logical Connectives; Negation; Conjunction; Disjunction; Implication; Equivalence; Laws of Propositional Logic; Normal Forms; Logic Circuits; Practical Problem: Using Inheritance and C# Operators to Evaluate Logic Formulas; Practical Problem: Representing Logic Formulas as Binary Decision Trees; Practical Problem: Transforming a Formula into Negation Normal Form (NNF)
  • Practical Problem: Transforming a Formula into Conjunctive Normal Form (CNF); Summary; Chapter 2: Automated Theorem Proving & First-Order Logic; Automated Theorem Proving; Practical Problem: Clauses and CNFs Classes in C#; DPLL Algorithm; Practical Problem: Modeling the Pigeonhole Principle in Propositional Logic; Practical Problem: Finding Whether a Propositional Logic Formula is SAT; First-Order Logic; Predicates in C#; Practical Problem: Cleaning Robot; Summary; Chapter 3: Agents; What's an Agent?; Agent Properties; Types of Environments; Agents with State
  • Practical Problem: Modeling the Cleaning Robot as an Agent and Adding State to It; Agent Architectures; Reactive Architectures: Subsumption Architecture; Deliberative Architectures: BDI Architecture; Hybrid Architectures; Touring Machines; InteRRaP; Summary; Chapter 4: Mars Rover; What's a Mars Rover?; Mars Rover Architecture; Mars Rover Code; Mars Rover Visual Application; Summary; Chapter 5: Multi-Agent Systems; What's a Multi-Agent System?; Multi-Agent Organization; Communication; Speech Act Theory; Agent Communication Languages (ACL); Coordination & Cooperation
  • Negotiation Using Contract Net; Social Norms & Societies; Summary; Chapter 6: Communication in a Multi-Agent System Using WCF; Services; Contracts; Bindings; Endpoints; Publisher/Subscriber Pattern; Practical Problem: Communicating Among Multiple Agents Using WCF; Summary; Chapter 7: Cleaning Agents: A Multi-Agent System Problem; Program Structure; Cleaning Task; Cleaning Agent Platform; Contract Net; FIPA-ACL; MAS Cleaning Agent; GUI; Running the Application; Summary; Chapter 8: Simulation; What Is Simulation?; Discrete-Event Simulation; Probabilistic Distributions
  • Practical Problem: Airport Simulation; Summary; Chapter 9: Support Vector Machines; What Is a Support Vector Machine (SVM)?; Practical Problem: Linear SVM in C#; Imperfect Separation; Non-linearly Separable Case: Kernel Trick; Sequential Minimal Optimization Algorithm (SMO); Practical Problem: SMO Implementation; Summary; Chapter 10: Decision Trees; What Is a Decision Tree?; Generating a Decision Tree: ID3 Algorithm; Entropy and Information Gain; Practical Problem: Implementing the ID3 Algorithm; C4.5 Algorithm; Practical Problem: Implementing the C4.5 Algorithm; Summary
Control code
1038068007
Dimensions
unknown
Extent
1 online resource (xxi, 690 pages)
File format
unknown
Form of item
online
Isbn
9781484233573
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
color illustrations, portraits
http://library.link/vocab/ext/overdrive/overdriveId
cl0500000972
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)1038068007
Label
Practical artificial intelligence : machine learning, bots, and agent solutions using C#, Arnaldo Pérez Castaño
Publication
Copyright
Note
Includes index
Antecedent source
unknown
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Intro; Table of Contents; About the Author; About the Technical Reviewer; Acknowledgments; Introduction; Chapter 1: Logic & AI; What Is Logic?; Propositional Logic; Logical Connectives; Negation; Conjunction; Disjunction; Implication; Equivalence; Laws of Propositional Logic; Normal Forms; Logic Circuits; Practical Problem: Using Inheritance and C# Operators to Evaluate Logic Formulas; Practical Problem: Representing Logic Formulas as Binary Decision Trees; Practical Problem: Transforming a Formula into Negation Normal Form (NNF)
  • Practical Problem: Transforming a Formula into Conjunctive Normal Form (CNF); Summary; Chapter 2: Automated Theorem Proving & First-Order Logic; Automated Theorem Proving; Practical Problem: Clauses and CNFs Classes in C#; DPLL Algorithm; Practical Problem: Modeling the Pigeonhole Principle in Propositional Logic; Practical Problem: Finding Whether a Propositional Logic Formula is SAT; First-Order Logic; Predicates in C#; Practical Problem: Cleaning Robot; Summary; Chapter 3: Agents; What's an Agent?; Agent Properties; Types of Environments; Agents with State
  • Practical Problem: Modeling the Cleaning Robot as an Agent and Adding State to It; Agent Architectures; Reactive Architectures: Subsumption Architecture; Deliberative Architectures: BDI Architecture; Hybrid Architectures; Touring Machines; InteRRaP; Summary; Chapter 4: Mars Rover; What's a Mars Rover?; Mars Rover Architecture; Mars Rover Code; Mars Rover Visual Application; Summary; Chapter 5: Multi-Agent Systems; What's a Multi-Agent System?; Multi-Agent Organization; Communication; Speech Act Theory; Agent Communication Languages (ACL); Coordination & Cooperation
  • Negotiation Using Contract Net; Social Norms & Societies; Summary; Chapter 6: Communication in a Multi-Agent System Using WCF; Services; Contracts; Bindings; Endpoints; Publisher/Subscriber Pattern; Practical Problem: Communicating Among Multiple Agents Using WCF; Summary; Chapter 7: Cleaning Agents: A Multi-Agent System Problem; Program Structure; Cleaning Task; Cleaning Agent Platform; Contract Net; FIPA-ACL; MAS Cleaning Agent; GUI; Running the Application; Summary; Chapter 8: Simulation; What Is Simulation?; Discrete-Event Simulation; Probabilistic Distributions
  • Practical Problem: Airport Simulation; Summary; Chapter 9: Support Vector Machines; What Is a Support Vector Machine (SVM)?; Practical Problem: Linear SVM in C#; Imperfect Separation; Non-linearly Separable Case: Kernel Trick; Sequential Minimal Optimization Algorithm (SMO); Practical Problem: SMO Implementation; Summary; Chapter 10: Decision Trees; What Is a Decision Tree?; Generating a Decision Tree: ID3 Algorithm; Entropy and Information Gain; Practical Problem: Implementing the ID3 Algorithm; C4.5 Algorithm; Practical Problem: Implementing the C4.5 Algorithm; Summary
Control code
1038068007
Dimensions
unknown
Extent
1 online resource (xxi, 690 pages)
File format
unknown
Form of item
online
Isbn
9781484233573
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
color illustrations, portraits
http://library.link/vocab/ext/overdrive/overdriveId
cl0500000972
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)1038068007

Library Locations

    • Ellis LibraryBorrow it
      1020 Lowry Street, Columbia, MO, 65201, US
      38.944491 -92.326012
    • Engineering Library & Technology CommonsBorrow it
      W2001 Lafferre Hall, Columbia, MO, 65211, US
      38.946102 -92.330125
Processing Feedback ...