LEADER 04800nam 22008295 450 001 9910838286603321 005 20240312140726.0 010 $a9783031508035 010 $a3031508033 024 7 $a10.1007/978-3-031-50803-5 035 $a(MiAaPQ)EBC31172441 035 $a(Au-PeEL)EBL31172441 035 $a(DE-He213)978-3-031-50803-5 035 $a(CKB)30481250300041 035 $a(OCoLC)1424619953 035 $a(EXLCZ)9930481250300041 100 $a20240220d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aWhen Robots Hug /$fby James A. Crowder, Alan C. Crowder 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (105 pages) 225 1 $aScience and Fiction,$x2197-1196 311 08$a9783031508028 311 08$a3031508025 327 $aIntroduction -- The DARPA Dilemma -- Scattered Avatars -- Topsy Turing -- Fractured Memories -- Artificial Neurogenesis -- The Assimilation -- The Collective Singing the ?I Can?t Decrypt Them? Blues -- SANDI?s Environment -- Chatbot Lydia -- Asimov?s Failure -- The Hackers get Hacked -- Dangerous Liaisons -- SANDI?s Dilemma -- Dead. Yet Alive -- Answers at Last -- Preparing to Bring them Home -- The Collection Process -- The Final Preparations -- The Integration Begins -- The Integration of MAXWELL -- The Integration of ISAAC -- The Integration of SANDI -- The Integration of ELYSE -- When Robots Hug -- The Science Behind the Novel -- Conclusion. 330 $aBy 2027, it had been seven years since the scientists? sea-changing research on artificial psychology and robotics. The work debuted around the same time as Large Language Model Chatbots, and the power of the integration of the two technologies put many industries in a tailspin. The commercial and defense industries especially were still scrambling to regulate their use in research and universities. The sought-after scientists signed with DARPA to build reliable and secure AI entities, but the agency grew fearful of the technology?s power and ultimately decided it was too dangerous to bring to market and demanded the scientists destroy the work. The researchers couldn?t bring themselves to discard 20 years of research, so instead sent the entities to various research labs around the world. But unbeknownst to them, each AI-entity embraced its new home, growing, adapting, evolving, and ultimately connecting beyond what the researchers could envision. In the end, asthe scientists catch up to each one, they realize the entities have discovered a very human means of interacting: the power of physical contact; and not physical contact between humans and technology, but physical contact between robotic entities. And with this discovery, the entities join forces to only grow stronger. This development ushers in a new paradigm where the difference between AI-entities and human entities becomes less and less discernible. All the AI and robotic science featured in the book is real; the story line is fictional, but with how fast innovation moves, it?s not hard to envision. 410 0$aScience and Fiction,$x2197-1196 606 $aAutomatic control 606 $aRobotics 606 $aAutomation 606 $aFiction 606 $aArtificial intelligence 606 $aTelecommunication 606 $aUser interfaces (Computer systems) 606 $aHuman-computer interaction 606 $aCooperating objects (Computer systems) 606 $aControl, Robotics, Automation 606 $aFiction Literature 606 $aArtificial Intelligence 606 $aCommunications Engineering, Networks 606 $aUser Interfaces and Human Computer Interaction 606 $aCyber-Physical Systems 615 0$aAutomatic control. 615 0$aRobotics. 615 0$aAutomation. 615 0$aFiction. 615 0$aArtificial intelligence. 615 0$aTelecommunication. 615 0$aUser interfaces (Computer systems) 615 0$aHuman-computer interaction. 615 0$aCooperating objects (Computer systems) 615 14$aControl, Robotics, Automation. 615 24$aFiction Literature. 615 24$aArtificial Intelligence. 615 24$aCommunications Engineering, Networks. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aCyber-Physical Systems. 676 $a629.8 700 $aCrowder$b James A$0720978 701 $aCrowder$b Alan C$01726447 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910838286603321 996 $aWhen Robots Hug$94132118 997 $aUNINA LEADER 05976oam 22011654 450 001 9910957403203321 005 20250426110744.0 010 $a9786612842092 010 $a9781462348725 010 $a1462348726 010 $a9781451871166 010 $a1451871163 010 $a9781452730912 010 $a1452730911 010 $a9781282842090 010 $a1282842099 035 $a(CKB)3170000000055149 035 $a(SSID)ssj0000944003 035 $a(PQKBManifestationID)11944102 035 $a(PQKBTitleCode)TC0000944003 035 $a(PQKBWorkID)10982586 035 $a(PQKB)10619649 035 $a(OCoLC)762656384 035 $a(IMF)WPIEE2008258 035 $a(MiAaPQ)EBC1586708 035 $a(IMF)WPIEA2008258 035 $aWPIEA2008258 035 $a(EXLCZ)993170000000055149 100 $a20020129d2008 uf 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aCounterparty Risk in the Over-The-Counter Derivatives Market /$fManmohan Singh, Miguel Segoviano 205 $a1st ed. 210 1$aWashington, D.C. :$cInternational Monetary Fund,$d2008. 215 $a1 online resource (21 pages) $cillustrations (some color), tables 225 1 $aIMF Working Papers 225 0$aIMF working paper ;$vWP/08/258 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9781451915693 311 08$a1451915691 320 $aIncludes bibliographical references. 327 $aIntro -- Contents -- I. Introduction -- II. Definitions and Methodology -- A. Counterparty Risk -- B. Exposure of the Financial System to Counterparty Risk -- C. Distress Dependence in the Financial System and Conditional Probability of Distress of Specific Financial Institutions -- D. Loss Scenarios -- III. Counterparty Risk: Empirical Estimation -- A. Counterparty Risk Exposure -- B. Conditional Probability of Distress of Financial Institutions -- IV. Conclusion and Policy Implications -- References -- Tables -- 1. Default Dependence Matrix -- 2. Distress Dependence Matrix -- 3. Losses Under Alternative Scenarios -- 4. Extrapolated Total Losses Under Alternative Scenarios -- Figures -- 1. Global OTC Derivatives as of December 2007 -- 2. Global OTC Derivatives Market as of December 2007 -- 3. The FinancialSystem's Multivariate Density -- 4. Probability that at Least one Financial Institution Fails to Deliver -- 5. Probability that Exactly one Financial Institution Fails to Deliver -- 6. OTC Derivatives: Notional Amounts as of end of March 2008 -- 7. OTC Derivatives: Counterparty Liabilities as of end of March 2008 -- 8. Probabilities of Distress of Financial Institutions Included in this Study -- 9. Fed's Balance Sheet as of April 23, 2008 -- Box -- 1. Distress Dependence. 330 3 $aThe financial market turmoil of recent months has highlighted the importance of counterparty risk. Here, we discuss counterparty risk that may stem from the OTC derivatives markets and attempt to assess the scope of potential cascade effects. This risk is measured by losses to the financial system that may result via the OTC derivative contracts from the default of one or more banks or primary broker-dealers. We then stress the importance of "netting" within the OTC derivative contracts. Our methodology shows that, even using data from before the worsening of the crisis in late Summer 2008, the potential cascade effects could be very substantial. We summarize our results in the context of the stability of the banking system and provide some policy measures that could be usefully considered by the regulators in their discussions of current issues. 410 0$aIMF Working Papers; Working Paper ;$vNo. 2008/258 606 $aDerivative securities$xEconometric models 606 $aOver-the-counter markets$xEconometric models 606 $aRisk$xEconometric models 606 $aBanking$2imf 606 $aBanks and Banking$2imf 606 $aBanks and banking$2imf 606 $aBanks$2imf 606 $aCredit default swap$2imf 606 $aCredit$2imf 606 $aDepository Institutions$2imf 606 $aDerivative markets$2imf 606 $aDerivative securities$2imf 606 $aFinance$2imf 606 $aFinance: General$2imf 606 $aFinancial instruments$2imf 606 $aGeneral Financial Markets: General (includes Measurement and Data)$2imf 606 $aMicro Finance Institutions$2imf 606 $aMonetary economics$2imf 606 $aMonetary Policy, Central Banking, and the Supply of Money and Credit: General$2imf 606 $aMoney and Monetary Policy$2imf 606 $aMortgages$2imf 606 $aOver-the-counter markets$2imf 607 $aUnited States$2imf 615 0$aDerivative securities$xEconometric models. 615 0$aOver-the-counter markets$xEconometric models. 615 0$aRisk$xEconometric models. 615 7$aBanking 615 7$aBanks and Banking 615 7$aBanks and banking 615 7$aBanks 615 7$aCredit default swap 615 7$aCredit 615 7$aDepository Institutions 615 7$aDerivative markets 615 7$aDerivative securities 615 7$aFinance 615 7$aFinance: General 615 7$aFinancial instruments 615 7$aGeneral Financial Markets: General (includes Measurement and Data) 615 7$aMicro Finance Institutions 615 7$aMonetary economics 615 7$aMonetary Policy, Central Banking, and the Supply of Money and Credit: General 615 7$aMoney and Monetary Policy 615 7$aMortgages 615 7$aOver-the-counter markets 676 $a332.645 700 $aSingh$b Manmohan$01815606 701 $aSegoviano$b Miguel$01815600 801 0$bDcWaIMF 906 $aBOOK 912 $a9910957403203321 996 $aCounterparty Risk in the Over-The-Counter Derivatives Market$94372587 997 $aUNINA