05091nam 22006375 450 99646544510331620220307105316.03-030-42962-810.1007/978-3-030-42962-1(CKB)4100000011231716(DE-He213)978-3-030-42962-1(MiAaPQ)EBC6192017(PPN)248395076(EXLCZ)99410000001123171620200507d2020 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierArtificial Intelligence in Economics and Finance Theories[electronic resource] /by Tankiso Moloi, Tshilidzi Marwala1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (X, 125 p. 22 illus., 18 illus. in color.)Advanced Information and Knowledge Processing,1610-3947Includes bibliographical references and index.Introduction to Artificial Intelligence in Economics and Finance Theories -- The Growth Model -- Comparative Advantage -- The Dual-Sector Model -- Dynamic Inconsistency Theory -- The Philipps Curve -- The Laffer Curve -- Adverse Selection -- Moral Hazard -- Creative Destruction -- The Agency Theory -- The Legitimacy Theory and the Legitimacy Gap -- Synopsis: Artificial Intelligence in Finance and Economics Theories -- Index .As Artificial Intelligence (AI) seizes all aspects of human life, there is a fundamental shift in the way in which humans are thinking of and doing things. Ordinarily, humans have relied on economics and finance theories to make sense of, and predict concepts such as comparative advantage, long run economic growth, lack or distortion of information and failures, role of labour as a factor of production and the decision making process for the purpose of allocating resources among other theories. Of interest though is that literature has not attempted to utilize these advances in technology in order to modernize economic and finance theories that are fundamental in the decision making process for the purpose of allocating scarce resources among other things. With the simulated intelligence in machines, which allows machines to act like humans and to some extent even anticipate events better than humans, thanks to their ability to handle massive data sets, this book will use artificial intelligence to explain what these economic and finance theories mean in the context of the agent wanting to make a decision. The main feature of finance and economic theories is that they try to eliminate the effects of uncertainties by attempting to bring the future to the present. The fundamentals of this statement is deeply rooted in risk and risk management. In behavioural sciences, economics as a discipline has always provided a well-established foundation for understanding uncertainties and what this means for decision making. Finance and economics have done this through different models which attempt to predict the future. On its part, risk management attempts to hedge or mitigate these uncertainties in order for “the planner” to reach the favourable outcome. This book focuses on how AI is to redefine certain important economic and financial theories that are specifically used for the purpose of eliminating uncertainties so as to allow agents to make informed decisions. In effect, certain aspects of finance and economic theories cannot be understood in their entirety without the incorporation of AI.Advanced Information and Knowledge Processing,1610-3947Artificial intelligenceEconomic theoryComputersArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Economic Theory/Quantitative Economics/Mathematical Methodshttps://scigraph.springernature.com/ontologies/product-market-codes/W29000Information Systems and Communication Servicehttps://scigraph.springernature.com/ontologies/product-market-codes/I18008Intel·ligència artificialthubTeoria econòmicathubLlibres electrònicsthubArtificial intelligence.Economic theory.Computers.Artificial Intelligence.Economic Theory/Quantitative Economics/Mathematical Methods.Information Systems and Communication Service.Intel·ligència artificialTeoria econòmica330.028563Moloi Tankisoauthttp://id.loc.gov/vocabulary/relators/aut872325Marwala Tshilidziauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK996465445103316Artificial Intelligence in Economics and Finance Theories1947571UNISA06725nam 2201069un 450 991086080320332120230730075857.01-63853-579-51-62623-915-010.1055/b-006-161150(CKB)541000000000488510.1055-b-006-161150(DE-2912)1595582064931(MiAaPQ)EBC30853028(Au-PeEL)EBL30853028(EXLCZ)99541000000000488520200101d2020|||| ||| |engur||||m||||||txtrdacontentcrdamediacrrdacarrierSpine Surgery in an Aging Population /by: Brooks, Nathaniel P., Strayer, Andrea L.1st ed.Stuttgart Georg Thieme Verlag 20201 online resource (210 pages) illustrations1-62623-914-2 Spine Surgery in an Aging Population -- Title Page -- Copyright -- Contents -- Foreword -- Preface -- Acknowledgments -- Contributors -- 1 Assessing the Aging Patient -- 2 Age-Related Changes in the Spine -- 3 Diagnosis and Treatment of Osteoporosis in the Aging Spine Patient -- 4 Surgical Decision-Making in the Aging Population -- 5 Perioperative Optimization in the Aging Population -- 6 Value-Based Care in the Aging Spine -- 7 Cervical Fractures -- 8 Thoracic and Thoracolumbar Fractures -- 9 Lumbar Fractures -- 10 External Orthosis Management -- 11 Spinal Cord Injury and Central Cord Syndrome -- 12 Cervical Spondylosis with Myelopathy -- 13 Cervical Deformity -- 14 Lumbar Stenosis with Neurogenic Claudication -- 15 Lumbar Spondylolisthesis -- 16 Sagittal Plane Malalignment and Degenerative Scoliosis in the Aging Spine -- 17 Nonsurgical Pain Management -- 18 Interventional Pain Treatment Options -- 19 Vertebral Augmentation for Insufficiency Fractures -- 20 Minimally Invasive Surgery in the Aging Spine -- 21 Techniques for Spinal Instrumentation in the Aging Spine -- Index.NeurosurgeryOrthopaedics and Trauma SurgeryNeurosurgery.Orthopaedics and Trauma Surgery.617.4/71AlBayar Ahmed Aauthttp://id.loc.gov/vocabulary/relators/aut1741745Brooks Nathaniel Pedthttp://id.loc.gov/vocabulary/relators/edtStrayer Andrea Ledthttp://id.loc.gov/vocabulary/relators/edtAnderson Paul Aauthttp://id.loc.gov/vocabulary/relators/autAlshardan Mohammad Mauthttp://id.loc.gov/vocabulary/relators/autAuriat Angela Aauthttp://id.loc.gov/vocabulary/relators/autBarczi Stevenauthttp://id.loc.gov/vocabulary/relators/autBenzel Edward Cauthttp://id.loc.gov/vocabulary/relators/autBerven Sigurdauthttp://id.loc.gov/vocabulary/relators/autBinkley Neilauthttp://id.loc.gov/vocabulary/relators/autBuehring Bjoernauthttp://id.loc.gov/vocabulary/relators/autBullis Carliauthttp://id.loc.gov/vocabulary/relators/autBurkett Danielauthttp://id.loc.gov/vocabulary/relators/autBurneikiene Sigitaauthttp://id.loc.gov/vocabulary/relators/autChen Suzanauthttp://id.loc.gov/vocabulary/relators/autJohn DiRisio Darrylauthttp://id.loc.gov/vocabulary/relators/autDru Alexander Bauthttp://id.loc.gov/vocabulary/relators/autEddelman Danielauthttp://id.loc.gov/vocabulary/relators/autGale Bradley Bauthttp://id.loc.gov/vocabulary/relators/autHaldeman Clayton Lauthttp://id.loc.gov/vocabulary/relators/autHastings Julie Aauthttp://id.loc.gov/vocabulary/relators/autHoh Daniel Jauthttp://id.loc.gov/vocabulary/relators/autHwang Lee Sauthttp://id.loc.gov/vocabulary/relators/autKolcun John Paul Gauthttp://id.loc.gov/vocabulary/relators/autKrishnaney Ajit Aauthttp://id.loc.gov/vocabulary/relators/autKumar Jayauthttp://id.loc.gov/vocabulary/relators/autLee Bryan Sauthttp://id.loc.gov/vocabulary/relators/autLiounakos Jason Iauthttp://id.loc.gov/vocabulary/relators/autK. Mayer Eric Aauthttp://id.loc.gov/vocabulary/relators/autMiele Vincent Jauthttp://id.loc.gov/vocabulary/relators/autMroz Thomas Eauthttp://id.loc.gov/vocabulary/relators/autOlasunkanmi Adeoluauthttp://id.loc.gov/vocabulary/relators/autO’Toole John Eauthttp://id.loc.gov/vocabulary/relators/autOverley Samuelauthttp://id.loc.gov/vocabulary/relators/autPage Paulauthttp://id.loc.gov/vocabulary/relators/autPease Matthewauthttp://id.loc.gov/vocabulary/relators/autPelle Dominic Wauthttp://id.loc.gov/vocabulary/relators/autPetronis Karen Aauthttp://id.loc.gov/vocabulary/relators/autPorche Kenauthttp://id.loc.gov/vocabulary/relators/autRajpal Sharadauthttp://id.loc.gov/vocabulary/relators/autResnick Daniel Kauthttp://id.loc.gov/vocabulary/relators/autShao Jianningauthttp://id.loc.gov/vocabulary/relators/autShin John Hauthttp://id.loc.gov/vocabulary/relators/autSimpson Lauren Nauthttp://id.loc.gov/vocabulary/relators/autSlattery Casey Aauthttp://id.loc.gov/vocabulary/relators/autSokol Samanthaauthttp://id.loc.gov/vocabulary/relators/autSteinmetz Michael Pauthttp://id.loc.gov/vocabulary/relators/autSullivan Williamauthttp://id.loc.gov/vocabulary/relators/autSundar Swetha Jauthttp://id.loc.gov/vocabulary/relators/autThan Khoi Dauthttp://id.loc.gov/vocabulary/relators/autTsai Eve Cauthttp://id.loc.gov/vocabulary/relators/autVerma Kushagraauthttp://id.loc.gov/vocabulary/relators/autWang Michael Yauthttp://id.loc.gov/vocabulary/relators/autZate Ryanauthttp://id.loc.gov/vocabulary/relators/autDE-2912BOOK9910860803203321Spine Surgery in an Aging Population4167960UNINA