Artificial intelligence in wireless robotics:
Robots, autonomous vehicles, unmanned aerial vehicles, and smart factories will significantly change human living style in digital society. Artificial Intelligence in Wireless Roboticsintroduces how wireless communications and networking technology enhances facilitation of artificial intelligence in...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Gistrup, Dänemark
River Publishers
[2020]
|
Schriftenreihe: | River publishers series in information science and technology
|
Schlagworte: | |
Online-Zugang: | FHN01 https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=6406229 |
Zusammenfassung: | Robots, autonomous vehicles, unmanned aerial vehicles, and smart factories will significantly change human living style in digital society. Artificial Intelligence in Wireless Roboticsintroduces how wireless communications and networking technology enhances facilitation of artificial intelligence in robotics, which bridges basic multi-disciplinary knowledge among artificial intelligence, wireless communications, computing, and control in robotics. A unique aspect of the book is to introduce applying communication and signal processing techniques to enhance traditional artificial intelligence in robotics and multi-agent systems Front Cover -- Artificial Intelligence in Wireless Robotics -- Contents -- Preface -- List of Figures -- List of Tables -- List of Abbreviations -- 01 Introduction to Artificial Intelligence and Robotics -- 1.1 Common Sense Knowledge of AI, Cybernetics, and Robotics -- 1.2 Intelligent Agents -- 1.2.1 The Concept of Rationality -- 1.2.2 System Dynamics -- 1.2.3 Task Environments -- 1.2.4 Robotics and Multi-Agent Systems -- 1.3 Reasoning -- 1.3.1 Constraint Satisfaction Problems -- 1.3.2 Solving CSP by Search -- References -- 02 Basic Search Algorithms -- 2.1 Problem-Solving Agents -- 2.2 Searching for Solutions -- 2.3 Uniform Search -- 2.3.1 Breadth-First Search -- 2.3.2 Dynamic Programming -- 2.3.3 Depth-first Search -- 2.4 Informed Search -- 2.5 Optimization -- 2.5.1 Linear Programming -- 2.5.2 Nonlinear Programming -- 2.5.3 Convex Optimization -- References -- 03 Machine Learning Basics -- 3.1 Supervised Learning -- 3.1.1 Regression -- 3.1.2 Bayesian Classification -- 3.1.3 KNN -- 3.1.4 Support Vector Machine -- 3.2 Unsupervised Learning -- 3.2.1 K-Means Clustering -- 3.2.2 EM Algorithms -- 3.2.3 Principal Component Analysis -- 3.3 Deep Neural Networks -- 3.4 Data Preprocessing -- References -- 04 Markov Decision Processes -- 4.1 Statistical Decisions -- 4.1.1 Mathematical Foundation -- 4.1.2 Bayes Decision -- 4.1.3 Radar Signal Detection -- 4.1.4 Bayesian Sequential Decision -- 4.2 Markov Decision Processes -- 4.2.1 Mathematical Formulation of Markov Decision Process -- 4.2.2 Optimal Policies -- 4.2.3 Developing Solutions to Bellman Equation -- 4.3 Decision Making and Planning: Dynamic Programming -- 4.4 Application of MDP to Search A Mobile Target -- 4.5 Multi-Armed Bandit Problem -- 4.5.1 ε-Greedy Algorithm -- 4.5.2 Upper Confidence Bounds -- 4.5.3 Thompson Sampling -- References -- 05 Reinforcement Learning |
Beschreibung: | Description based on publisher supplied metadata and other sources |
Beschreibung: | 1 Online-Ressource (xxx, 323 Seiten) Illustrationen |
ISBN: | 9788770221177 |
Internformat
MARC
LEADER | 00000nmm a22000001c 4500 | ||
---|---|---|---|
001 | BV047126337 | ||
003 | DE-604 | ||
005 | 20220124 | ||
007 | cr|uuu---uuuuu | ||
008 | 210204s2020 |||| o||u| ||||||eng d | ||
020 | |a 9788770221177 |9 978-87-7022-117-7 | ||
035 | |a (OCoLC)1237589440 | ||
035 | |a (DE-599)KEP060029404 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-92 | ||
082 | 0 | |a 629.892 | |
100 | 1 | |a Chen, Kwang-Cheng |e Verfasser |0 (DE-588)173134734 |4 aut | |
245 | 1 | 0 | |a Artificial intelligence in wireless robotics |c Kwang-Cheng Chen, University of South Florida, USA |
264 | 1 | |a Gistrup, Dänemark |b River Publishers |c [2020] | |
300 | |a 1 Online-Ressource (xxx, 323 Seiten) |b Illustrationen | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 0 | |a River publishers series in information science and technology | |
500 | |a Description based on publisher supplied metadata and other sources | ||
520 | 3 | |a Robots, autonomous vehicles, unmanned aerial vehicles, and smart factories will significantly change human living style in digital society. Artificial Intelligence in Wireless Roboticsintroduces how wireless communications and networking technology enhances facilitation of artificial intelligence in robotics, which bridges basic multi-disciplinary knowledge among artificial intelligence, wireless communications, computing, and control in robotics. A unique aspect of the book is to introduce applying communication and signal processing techniques to enhance traditional artificial intelligence in robotics and multi-agent systems | |
520 | 3 | |a Front Cover -- Artificial Intelligence in Wireless Robotics -- Contents -- Preface -- List of Figures -- List of Tables -- List of Abbreviations -- 01 Introduction to Artificial Intelligence and Robotics -- 1.1 Common Sense Knowledge of AI, Cybernetics, and Robotics -- 1.2 Intelligent Agents -- 1.2.1 The Concept of Rationality -- 1.2.2 System Dynamics -- 1.2.3 Task Environments -- 1.2.4 Robotics and Multi-Agent Systems -- 1.3 Reasoning -- 1.3.1 Constraint Satisfaction Problems -- 1.3.2 Solving CSP by Search -- References -- 02 Basic Search Algorithms -- 2.1 Problem-Solving Agents -- 2.2 Searching for Solutions -- 2.3 Uniform Search -- 2.3.1 Breadth-First Search -- 2.3.2 Dynamic Programming -- 2.3.3 Depth-first Search -- 2.4 Informed Search -- 2.5 Optimization -- 2.5.1 Linear Programming -- 2.5.2 Nonlinear Programming -- 2.5.3 Convex Optimization -- References -- 03 Machine Learning Basics -- 3.1 Supervised Learning -- 3.1.1 Regression -- 3.1.2 Bayesian Classification -- 3.1.3 KNN -- 3.1.4 Support Vector Machine -- 3.2 Unsupervised Learning -- 3.2.1 K-Means Clustering -- 3.2.2 EM Algorithms -- 3.2.3 Principal Component Analysis -- 3.3 Deep Neural Networks -- 3.4 Data Preprocessing -- References -- 04 Markov Decision Processes -- 4.1 Statistical Decisions -- 4.1.1 Mathematical Foundation -- 4.1.2 Bayes Decision -- 4.1.3 Radar Signal Detection -- 4.1.4 Bayesian Sequential Decision -- 4.2 Markov Decision Processes -- 4.2.1 Mathematical Formulation of Markov Decision Process -- 4.2.2 Optimal Policies -- 4.2.3 Developing Solutions to Bellman Equation -- 4.3 Decision Making and Planning: Dynamic Programming -- 4.4 Application of MDP to Search A Mobile Target -- 4.5 Multi-Armed Bandit Problem -- 4.5.1 ε-Greedy Algorithm -- 4.5.2 Upper Confidence Bounds -- 4.5.3 Thompson Sampling -- References -- 05 Reinforcement Learning | |
650 | 0 | 7 | |a Robotik |0 (DE-588)4261462-4 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |2 gnd |9 rswk-swf |
653 | 0 | |a Electronic books | |
689 | 0 | 0 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |D s |
689 | 0 | 1 | |a Robotik |0 (DE-588)4261462-4 |D s |
689 | 0 | |5 DE-604 | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, Hardcover |z 978-87-7022-118-4 |
856 | 4 | 0 | |m X:EBC |u https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=6406229 |x Aggregator |
912 | |a ZDB-30-PQE | ||
999 | |a oai:aleph.bib-bvb.de:BVB01-032532564 | ||
966 | e | |u https://ebookcentral.proquest.com/lib/thnuernberg/detail.action?docID=6406229 |l FHN01 |p ZDB-30-PQE |x Aggregator |3 Volltext |
Datensatz im Suchindex
_version_ | 1804182175019433984 |
---|---|
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Chen, Kwang-Cheng |
author_GND | (DE-588)173134734 |
author_facet | Chen, Kwang-Cheng |
author_role | aut |
author_sort | Chen, Kwang-Cheng |
author_variant | k c c kcc |
building | Verbundindex |
bvnumber | BV047126337 |
collection | ZDB-30-PQE |
ctrlnum | (OCoLC)1237589440 (DE-599)KEP060029404 |
dewey-full | 629.892 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 629 - Other branches of engineering |
dewey-raw | 629.892 |
dewey-search | 629.892 |
dewey-sort | 3629.892 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
discipline_str_mv | Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04170nmm a22004331c 4500</leader><controlfield tag="001">BV047126337</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20220124 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">210204s2020 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9788770221177</subfield><subfield code="9">978-87-7022-117-7</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1237589440</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP060029404</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-92</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">629.892</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Chen, Kwang-Cheng</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)173134734</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Artificial intelligence in wireless robotics</subfield><subfield code="c">Kwang-Cheng Chen, University of South Florida, USA</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Gistrup, Dänemark</subfield><subfield code="b">River Publishers</subfield><subfield code="c">[2020]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xxx, 323 Seiten)</subfield><subfield code="b">Illustrationen</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">River publishers series in information science and technology</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">Robots, autonomous vehicles, unmanned aerial vehicles, and smart factories will significantly change human living style in digital society. Artificial Intelligence in Wireless Roboticsintroduces how wireless communications and networking technology enhances facilitation of artificial intelligence in robotics, which bridges basic multi-disciplinary knowledge among artificial intelligence, wireless communications, computing, and control in robotics. A unique aspect of the book is to introduce applying communication and signal processing techniques to enhance traditional artificial intelligence in robotics and multi-agent systems</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">Front Cover -- Artificial Intelligence in Wireless Robotics -- Contents -- Preface -- List of Figures -- List of Tables -- List of Abbreviations -- 01 Introduction to Artificial Intelligence and Robotics -- 1.1 Common Sense Knowledge of AI, Cybernetics, and Robotics -- 1.2 Intelligent Agents -- 1.2.1 The Concept of Rationality -- 1.2.2 System Dynamics -- 1.2.3 Task Environments -- 1.2.4 Robotics and Multi-Agent Systems -- 1.3 Reasoning -- 1.3.1 Constraint Satisfaction Problems -- 1.3.2 Solving CSP by Search -- References -- 02 Basic Search Algorithms -- 2.1 Problem-Solving Agents -- 2.2 Searching for Solutions -- 2.3 Uniform Search -- 2.3.1 Breadth-First Search -- 2.3.2 Dynamic Programming -- 2.3.3 Depth-first Search -- 2.4 Informed Search -- 2.5 Optimization -- 2.5.1 Linear Programming -- 2.5.2 Nonlinear Programming -- 2.5.3 Convex Optimization -- References -- 03 Machine Learning Basics -- 3.1 Supervised Learning -- 3.1.1 Regression -- 3.1.2 Bayesian Classification -- 3.1.3 KNN -- 3.1.4 Support Vector Machine -- 3.2 Unsupervised Learning -- 3.2.1 K-Means Clustering -- 3.2.2 EM Algorithms -- 3.2.3 Principal Component Analysis -- 3.3 Deep Neural Networks -- 3.4 Data Preprocessing -- References -- 04 Markov Decision Processes -- 4.1 Statistical Decisions -- 4.1.1 Mathematical Foundation -- 4.1.2 Bayes Decision -- 4.1.3 Radar Signal Detection -- 4.1.4 Bayesian Sequential Decision -- 4.2 Markov Decision Processes -- 4.2.1 Mathematical Formulation of Markov Decision Process -- 4.2.2 Optimal Policies -- 4.2.3 Developing Solutions to Bellman Equation -- 4.3 Decision Making and Planning: Dynamic Programming -- 4.4 Application of MDP to Search A Mobile Target -- 4.5 Multi-Armed Bandit Problem -- 4.5.1 ε-Greedy Algorithm -- 4.5.2 Upper Confidence Bounds -- 4.5.3 Thompson Sampling -- References -- 05 Reinforcement Learning</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Robotik</subfield><subfield code="0">(DE-588)4261462-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Electronic books</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Robotik</subfield><subfield code="0">(DE-588)4261462-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, Hardcover</subfield><subfield code="z">978-87-7022-118-4</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="m">X:EBC</subfield><subfield code="u">https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=6406229</subfield><subfield code="x">Aggregator</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032532564</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/thnuernberg/detail.action?docID=6406229</subfield><subfield code="l">FHN01</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV047126337 |
illustrated | Not Illustrated |
index_date | 2024-07-03T16:30:45Z |
indexdate | 2024-07-10T09:03:22Z |
institution | BVB |
isbn | 9788770221177 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032532564 |
oclc_num | 1237589440 |
open_access_boolean | |
owner | DE-92 |
owner_facet | DE-92 |
physical | 1 Online-Ressource (xxx, 323 Seiten) Illustrationen |
psigel | ZDB-30-PQE |
publishDate | 2020 |
publishDateSearch | 2020 |
publishDateSort | 2020 |
publisher | River Publishers |
record_format | marc |
series2 | River publishers series in information science and technology |
spelling | Chen, Kwang-Cheng Verfasser (DE-588)173134734 aut Artificial intelligence in wireless robotics Kwang-Cheng Chen, University of South Florida, USA Gistrup, Dänemark River Publishers [2020] 1 Online-Ressource (xxx, 323 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier River publishers series in information science and technology Description based on publisher supplied metadata and other sources Robots, autonomous vehicles, unmanned aerial vehicles, and smart factories will significantly change human living style in digital society. Artificial Intelligence in Wireless Roboticsintroduces how wireless communications and networking technology enhances facilitation of artificial intelligence in robotics, which bridges basic multi-disciplinary knowledge among artificial intelligence, wireless communications, computing, and control in robotics. A unique aspect of the book is to introduce applying communication and signal processing techniques to enhance traditional artificial intelligence in robotics and multi-agent systems Front Cover -- Artificial Intelligence in Wireless Robotics -- Contents -- Preface -- List of Figures -- List of Tables -- List of Abbreviations -- 01 Introduction to Artificial Intelligence and Robotics -- 1.1 Common Sense Knowledge of AI, Cybernetics, and Robotics -- 1.2 Intelligent Agents -- 1.2.1 The Concept of Rationality -- 1.2.2 System Dynamics -- 1.2.3 Task Environments -- 1.2.4 Robotics and Multi-Agent Systems -- 1.3 Reasoning -- 1.3.1 Constraint Satisfaction Problems -- 1.3.2 Solving CSP by Search -- References -- 02 Basic Search Algorithms -- 2.1 Problem-Solving Agents -- 2.2 Searching for Solutions -- 2.3 Uniform Search -- 2.3.1 Breadth-First Search -- 2.3.2 Dynamic Programming -- 2.3.3 Depth-first Search -- 2.4 Informed Search -- 2.5 Optimization -- 2.5.1 Linear Programming -- 2.5.2 Nonlinear Programming -- 2.5.3 Convex Optimization -- References -- 03 Machine Learning Basics -- 3.1 Supervised Learning -- 3.1.1 Regression -- 3.1.2 Bayesian Classification -- 3.1.3 KNN -- 3.1.4 Support Vector Machine -- 3.2 Unsupervised Learning -- 3.2.1 K-Means Clustering -- 3.2.2 EM Algorithms -- 3.2.3 Principal Component Analysis -- 3.3 Deep Neural Networks -- 3.4 Data Preprocessing -- References -- 04 Markov Decision Processes -- 4.1 Statistical Decisions -- 4.1.1 Mathematical Foundation -- 4.1.2 Bayes Decision -- 4.1.3 Radar Signal Detection -- 4.1.4 Bayesian Sequential Decision -- 4.2 Markov Decision Processes -- 4.2.1 Mathematical Formulation of Markov Decision Process -- 4.2.2 Optimal Policies -- 4.2.3 Developing Solutions to Bellman Equation -- 4.3 Decision Making and Planning: Dynamic Programming -- 4.4 Application of MDP to Search A Mobile Target -- 4.5 Multi-Armed Bandit Problem -- 4.5.1 ε-Greedy Algorithm -- 4.5.2 Upper Confidence Bounds -- 4.5.3 Thompson Sampling -- References -- 05 Reinforcement Learning Robotik (DE-588)4261462-4 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Electronic books Künstliche Intelligenz (DE-588)4033447-8 s Robotik (DE-588)4261462-4 s DE-604 Erscheint auch als Druck-Ausgabe, Hardcover 978-87-7022-118-4 X:EBC https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=6406229 Aggregator |
spellingShingle | Chen, Kwang-Cheng Artificial intelligence in wireless robotics Robotik (DE-588)4261462-4 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
subject_GND | (DE-588)4261462-4 (DE-588)4033447-8 |
title | Artificial intelligence in wireless robotics |
title_auth | Artificial intelligence in wireless robotics |
title_exact_search | Artificial intelligence in wireless robotics |
title_exact_search_txtP | Artificial intelligence in wireless robotics |
title_full | Artificial intelligence in wireless robotics Kwang-Cheng Chen, University of South Florida, USA |
title_fullStr | Artificial intelligence in wireless robotics Kwang-Cheng Chen, University of South Florida, USA |
title_full_unstemmed | Artificial intelligence in wireless robotics Kwang-Cheng Chen, University of South Florida, USA |
title_short | Artificial intelligence in wireless robotics |
title_sort | artificial intelligence in wireless robotics |
topic | Robotik (DE-588)4261462-4 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
topic_facet | Robotik Künstliche Intelligenz |
url | https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=6406229 |
work_keys_str_mv | AT chenkwangcheng artificialintelligenceinwirelessrobotics |