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
Resource Information
The item Practical artificial intelligence : machine learning, bots, and agent solutions using C#, Arnaldo Pérez Castaño represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 2 library branches.
Resource Information
The item Practical artificial intelligence : machine learning, bots, and agent solutions using C#, Arnaldo Pérez Castaño represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 2 library branches.
 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
 Language
 eng
 Extent
 1 online resource (xxi, 690 pages)
 Note
 Includes index
 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 & FirstOrder 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; FirstOrder 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: MultiAgent Systems; What's a MultiAgent System?; MultiAgent Organization; Communication; Speech Act Theory; Agent Communication Languages (ACL); Coordination & Cooperation
 Negotiation Using Contract Net; Social Norms & Societies; Summary; Chapter 6: Communication in a MultiAgent System Using WCF; Services; Contracts; Bindings; Endpoints; Publisher/Subscriber Pattern; Practical Problem: Communicating Among Multiple Agents Using WCF; Summary; Chapter 7: Cleaning Agents: A MultiAgent System Problem; Program Structure; Cleaning Task; Cleaning Agent Platform; Contract Net; FIPAACL; MAS Cleaning Agent; GUI; Running the Application; Summary; Chapter 8: Simulation; What Is Simulation?; DiscreteEvent 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; Nonlinearly 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
 Isbn
 9781484233573
 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
 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
 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 & FirstOrder 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; FirstOrder 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: MultiAgent Systems; What's a MultiAgent System?; MultiAgent Organization; Communication; Speech Act Theory; Agent Communication Languages (ACL); Coordination & Cooperation
 Negotiation Using Contract Net; Social Norms & Societies; Summary; Chapter 6: Communication in a MultiAgent System Using WCF; Services; Contracts; Bindings; Endpoints; Publisher/Subscriber Pattern; Practical Problem: Communicating Among Multiple Agents Using WCF; Summary; Chapter 7: Cleaning Agents: A MultiAgent System Problem; Program Structure; Cleaning Task; Cleaning Agent Platform; Contract Net; FIPAACL; MAS Cleaning Agent; GUI; Running the Application; Summary; Chapter 8: Simulation; What Is Simulation?; DiscreteEvent 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; Nonlinearly 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
 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 & FirstOrder 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; FirstOrder 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: MultiAgent Systems; What's a MultiAgent System?; MultiAgent Organization; Communication; Speech Act Theory; Agent Communication Languages (ACL); Coordination & Cooperation
 Negotiation Using Contract Net; Social Norms & Societies; Summary; Chapter 6: Communication in a MultiAgent System Using WCF; Services; Contracts; Bindings; Endpoints; Publisher/Subscriber Pattern; Practical Problem: Communicating Among Multiple Agents Using WCF; Summary; Chapter 7: Cleaning Agents: A MultiAgent System Problem; Program Structure; Cleaning Task; Cleaning Agent Platform; Contract Net; FIPAACL; MAS Cleaning Agent; GUI; Running the Application; Summary; Chapter 8: Simulation; What Is Simulation?; DiscreteEvent 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; Nonlinearly 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
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