LEADER 02699nam 2200505 450 001 9910793301403321 005 20220526171827.0 010 $a90-04-38539-8 024 7 $a10.1163/9789004385399 035 $a(CKB)4100000007010365 035 $a(MiAaPQ)EBC5570502 035 $a(nllekb)BRILL9789004385399 035 $a(Au-PeEL)EBL5570502 035 $a(OCoLC)1051781539 035 $a(PPN)243817134 035 $a(EXLCZ)994100000007010365 100 $a20220526d2018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAristotle on prescription $edeliberation and rule-making in Aristotle's practical philosophy /$fFrancesca Alesse 210 1$aLeiden :$cBrill,$d[2018] 210 4$dİ2018 215 $a1 online resource (285 pages) 225 0 $aPhilosophia antiqua,$x0079-1687 ;$vVolume 152 311 $a90-04-38538-X 320 $aIncludes bibliographical references and index. 327 $aFront Matter -- Copyright Page -- Dedication -- Preface -- Acknowledgements -- Note to the Reader -- The Reasons for This Research -- Problems and Debates -- Deliberation and Prescription -- Prescriptive Reason and Practical Wisdom -- Prescription and Architectonic Order -- Conclusions -- Back Matter -- Bibliography. 330 $aThe focus of Aristotle on Prescription is Aristotle?s reflections on rule-making. It is widely believed that Aristotle was only concerned with decision-making, understood as a deliberative process enabling a person to arrive at particular, contingent decisions. However, rule-making is fundamental to Aristotle?s ethical texts. Establishing rules means indicating patterns for action that are sufficiently specific to meet situational difficulties and sufficiently constant in time to provide us with a code of behaviour to be used in similar situations. When we prescribe rules, we demonstrate the ability to direct not only our own life but also other people?s lives. Alesse?s book explores Aristotle?s deep reflections on the nature and functions of prescription, and on the relationship between rules and individual decisions. 410 0$aPhilosophia Antiqua$v152. 606 $aDecision making$xSocial aspects 606 $aDecision making$xStatistical methods 615 0$aDecision making$xSocial aspects. 615 0$aDecision making$xStatistical methods. 676 $a153.83 700 $aAlesse$b Francesca$0607595 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910793301403321 996 $aAristotle on prescription$91762615 997 $aUNINA 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