LEADER 03852nam  22007695  450 
001 9910983479503321
005 20250626163458.0
010   $a9789819785339
010   $a9819785332
024 7 $a10.1007/978-981-97-8533-9
035   $a(CKB)37178133200041
035   $a(MiAaPQ)EBC31876193
035   $a(Au-PeEL)EBL31876193
035   $a(OCoLC)1484186565
035   $a(DE-He213)978-981-97-8533-9
035   $a(EXLCZ)9937178133200041
100   $a20250110d2025      u|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aCybernetics, Human Cognition, and Machine Learning in Communicative Applications /$fedited by Vinit Kumar Gunjan, Sabrina Senatore, Amit Kumar
205   $a1st ed. 2025.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025.
215   $a1 online resource (481 pages)
225 1 $aCognitive Science and Technology,$x2195-3996
311 08$a9789819785322 
311 08$a9819785324 
327   $a1. Introduction to Cybernetics, Cognition, and Machine Learning -- 2. Foundations of Cybernetics -- 3. Cognition and Cognitive Systems -- 4. Introduction to Machine Learning -- 5. Cybernetics and Machine Learning Integration.
330   $aThis book presents the fascinating intersection of human cognition and artificial intelligence. Written by leading experts in the fields of cybernetics, cognitive science, and machine learning, this book seeks to bridge the gap between these disciplines and explores the synergies that emerge when humans and machines work together. The book examines the challenges posed by biased data, lack of transparency, and the "black box" nature of some machine learning algorithms. It proposes novel ways to address these issues and foster greater trust and accountability in AI systems. Drawing on cutting-edge research and real-world case studies, it presents a comprehensive and forward-looking perspective on the future of AI and its impact on society. In conclusion, this book offers a compelling exploration of the synergy between human cognition and machine learning, providing insights that are relevant to scholars, researchers, policymakers, and anyone interested in the transformative potential of artificial intelligence.
410  0$aCognitive Science and Technology,$x2195-3996
606   $aComputational intelligence
606   $aNeural networks (Computer science)
606   $aComputational neuroscience
606   $aArtificial intelligence
606   $aQuantitative research
606   $aMachine learning
606   $aComputational Intelligence
606   $aMathematical Models of Cognitive Processes and Neural Networks
606   $aComputational Neuroscience
606   $aArtificial Intelligence
606   $aData Analysis and Big Data
606   $aMachine Learning
615  0$aComputational intelligence.
615  0$aNeural networks (Computer science)
615  0$aComputational neuroscience.
615  0$aArtificial intelligence.
615  0$aQuantitative research.
615  0$aMachine learning.
615 14$aComputational Intelligence.
615 24$aMathematical Models of Cognitive Processes and Neural Networks.
615 24$aComputational Neuroscience.
615 24$aArtificial Intelligence.
615 24$aData Analysis and Big Data.
615 24$aMachine Learning.
676   $a006.31
700   $aGunjan$b Vinit Kumar$0846445
701   $aSenatore$b Sabrina$01423765
701   $aKumar$b Amit$0720810
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910983479503321
996   $aCybernetics, Human Cognition, and Machine Learning in Communicative Applications$94316886
997   $aUNINA