Multi-Agent Technologies and Machine Learning / / edited by I. A. Sheremet.
This book discusses multi-agent technologies (MATs) and machine learning (ML). These tools can be integrated and applied in industry, commerce, energy, medicine, psychology, and other areas. This volume consists of six chapters in three sections that discuss the integration, applications, and advanc...
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Superior document: | Artificial Intelligence |
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Place / Publishing House: | London : : IntechOpen,, 2023. ©2023 |
Year of Publication: | 2023 |
Language: | English |
Series: | Artificial intelligence (IntechOpen (Firm))
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Physical Description: | 1 online resource (132 pages). |
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Multi-Agent Technologies and Machine Learning / edited by I. A. Sheremet. London : IntechOpen, 2023. ©2023 1 online resource (132 pages). text txt rdacontent computer c rdamedia online resource cr rdacarrier Artificial Intelligence Includes bibliographical references and index. Preface -- Section 1 Advanced Results in the Area of Integration of Multi-Agent Technologies and Machine Learning -- Chapter 1 A State-of-the-Art Survey on Various Domains of Multi-Agent Systems and Machine Learning by Aida Huerta Barrientos and Alejandro Nila Luevano -- Chapter 2 Deep Multiagent Reinforcement Learning Methods Addressing the Scalability Challenge by Theocharis Kravaris and George A. Vouros -- Section 2 Applications of Multi-Agent Technologies Combined with Machine Learning -- Chapter 3 Role of an Optimal Multiagent Scheduling in Different Applications Using ML by Fahmina Taranum, Sridevi K, Maniza Hijab, Syeda Fouzia Sayeedunissa, Afshan Kaleem and Niraja K.S -- Chapter 4 On an Approach to Knowledge Management and the Development of the Knowledge-Based Multi-Agent System by Evgeniy Zaytsev and Elena Nurmatova -- Section 3 Advanced Developments in Multi-Agent Technologies and Machine Learning Creating Potential for Their Further Integration 71 -- Chapter 5 Modeling Electric Vehicle Charging Station Behavior Using Multiagent System by Jaslin Shaleem Khan, Malligama Arachchige Uditha Sudheera Navaratne and Janaka Bandara Ekanayake -- Chapter 6 Approximate Dynamic Programming: An Efficient Machine Learning Algorithm. This book discusses multi-agent technologies (MATs) and machine learning (ML). These tools can be integrated and applied in industry, commerce, energy, medicine, psychology, and other areas. This volume consists of six chapters in three sections that discuss the integration, applications, and advanced results of MATs and ML. Description based on: online resource; title from PDF title page (IntechOpen, viewed July 01, 2023). Artificial intelligence. Sheremet, I. A., editor. 1-80356-445-8 Artificial intelligence (IntechOpen (Firm)) |
language |
English |
format |
eBook |
author2 |
Sheremet, I. A., |
author_facet |
Sheremet, I. A., |
author2_variant |
i a s ia ias |
author2_role |
TeilnehmendeR |
title |
Multi-Agent Technologies and Machine Learning / |
spellingShingle |
Multi-Agent Technologies and Machine Learning / Artificial Intelligence Preface -- Section 1 Advanced Results in the Area of Integration of Multi-Agent Technologies and Machine Learning -- Chapter 1 A State-of-the-Art Survey on Various Domains of Multi-Agent Systems and Machine Learning by Aida Huerta Barrientos and Alejandro Nila Luevano -- Chapter 2 Deep Multiagent Reinforcement Learning Methods Addressing the Scalability Challenge by Theocharis Kravaris and George A. Vouros -- Section 2 Applications of Multi-Agent Technologies Combined with Machine Learning -- Chapter 3 Role of an Optimal Multiagent Scheduling in Different Applications Using ML by Fahmina Taranum, Sridevi K, Maniza Hijab, Syeda Fouzia Sayeedunissa, Afshan Kaleem and Niraja K.S -- Chapter 4 On an Approach to Knowledge Management and the Development of the Knowledge-Based Multi-Agent System by Evgeniy Zaytsev and Elena Nurmatova -- Section 3 Advanced Developments in Multi-Agent Technologies and Machine Learning Creating Potential for Their Further Integration 71 -- Chapter 5 Modeling Electric Vehicle Charging Station Behavior Using Multiagent System by Jaslin Shaleem Khan, Malligama Arachchige Uditha Sudheera Navaratne and Janaka Bandara Ekanayake -- Chapter 6 Approximate Dynamic Programming: An Efficient Machine Learning Algorithm. |
title_full |
Multi-Agent Technologies and Machine Learning / edited by I. A. Sheremet. |
title_fullStr |
Multi-Agent Technologies and Machine Learning / edited by I. A. Sheremet. |
title_full_unstemmed |
Multi-Agent Technologies and Machine Learning / edited by I. A. Sheremet. |
title_auth |
Multi-Agent Technologies and Machine Learning / |
title_new |
Multi-Agent Technologies and Machine Learning / |
title_sort |
multi-agent technologies and machine learning / |
series |
Artificial Intelligence |
series2 |
Artificial Intelligence |
publisher |
IntechOpen, |
publishDate |
2023 |
physical |
1 online resource (132 pages). |
contents |
Preface -- Section 1 Advanced Results in the Area of Integration of Multi-Agent Technologies and Machine Learning -- Chapter 1 A State-of-the-Art Survey on Various Domains of Multi-Agent Systems and Machine Learning by Aida Huerta Barrientos and Alejandro Nila Luevano -- Chapter 2 Deep Multiagent Reinforcement Learning Methods Addressing the Scalability Challenge by Theocharis Kravaris and George A. Vouros -- Section 2 Applications of Multi-Agent Technologies Combined with Machine Learning -- Chapter 3 Role of an Optimal Multiagent Scheduling in Different Applications Using ML by Fahmina Taranum, Sridevi K, Maniza Hijab, Syeda Fouzia Sayeedunissa, Afshan Kaleem and Niraja K.S -- Chapter 4 On an Approach to Knowledge Management and the Development of the Knowledge-Based Multi-Agent System by Evgeniy Zaytsev and Elena Nurmatova -- Section 3 Advanced Developments in Multi-Agent Technologies and Machine Learning Creating Potential for Their Further Integration 71 -- Chapter 5 Modeling Electric Vehicle Charging Station Behavior Using Multiagent System by Jaslin Shaleem Khan, Malligama Arachchige Uditha Sudheera Navaratne and Janaka Bandara Ekanayake -- Chapter 6 Approximate Dynamic Programming: An Efficient Machine Learning Algorithm. |
isbn |
1-80356-445-8 |
callnumber-first |
Q - Science |
callnumber-subject |
Q - General Science |
callnumber-label |
Q335 |
callnumber-sort |
Q 3335 M858 42023 |
illustrated |
Not Illustrated |
dewey-hundreds |
000 - Computer science, information & general works |
dewey-tens |
000 - Computer science, knowledge & systems |
dewey-ones |
006 - Special computer methods |
dewey-full |
006.3 |
dewey-sort |
16.3 |
dewey-raw |
006.3 |
dewey-search |
006.3 |
work_keys_str_mv |
AT sheremetia multiagenttechnologiesandmachinelearning |
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ids_txt_mv |
(CKB)5580000000514400 (NjHacI)995580000000514400 (EXLCZ)995580000000514400 |
carrierType_str_mv |
cr |
hierarchy_parent_title |
Artificial Intelligence |
is_hierarchy_title |
Multi-Agent Technologies and Machine Learning / |
container_title |
Artificial Intelligence |
author2_original_writing_str_mv |
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