LEADER 05368nam 22006375 450 001 9910484702603321 005 20200703151349.0 010 $a3-030-17081-0 024 7 $a10.1007/978-3-030-17081-3 035 $a(CKB)4100000008280439 035 $a(MiAaPQ)EBC5780047 035 $a(DE-He213)978-3-030-17081-3 035 $a(PPN)243771746 035 $a(EXLCZ)994100000008280439 100 $a20190521d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Psychology $ePsychological Modeling and Testing of AI Systems /$fby James A. Crowder, John Carbone, Shelli Friess 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (178 pages) 311 $a3-030-17079-9 327 $aChapter 1. Introduction: Psychology and Technology -- Chapter 2. Systems-Level Thinking for Artificial Intelligent Systems -- Chapter 3. Psychological Constructs for AI Systems: The Information Continuum -- Chapter 4. Human-AI Collaboration -- Chapter 5. Abductive Artificial Intelligence Learning Models -- Chapter 6. Artificial Creativity and Self-Evolution: Abductive Reasoning in Artificial Life Forms -- Chapter 7. Artificial Intelligent Inferences utilizing Occam Abduction -- Chapter 8. Artificial Neural Diagnostics and Prognostics: Self-Soothing in Cognitive Systems -- Chapter 9. Ontology-Based Knowledge Management for Artificial Intelligent Systems -- Chapter 10. Cognitive Control of Self-Evolving Life Forms (SELF) utilizing Artificial Procedural Memories -- Chapter 11. Methodologies for Continuous, Life-Long Machine Learning for AI Systems -- Chapter 12. Implicit Learning in Artificial Intelligence -- Chapter 13. Data Analytics: The Big Data Analytics Process (BDAP) Architecture -- Chapter 14. Conclusions and Next Steps. 330 $aThis book explores the subject of artificial psychology and how the field must adapt human neuro-psychological testing techniques to provide adequate cognitive testing of advanced artificial intelligence systems. It shows how classical testing methods will reveal nothing about the cognitive nature of the systems and whether they are learning, reasoning, and evolving correctly; for these systems, the authors outline how testing techniques similar to/adapted from human psychological testing must be adopted, particularly in understanding how the system reacts to failure or relearning something it has learned incorrectly or inferred incorrectly. The authors provide insights into future architectures/capabilities that artificial cognitive systems will possess and how we can evaluate how well they are functioning. It discusses at length the notion of human/AI communication and collaboration and explores such topics as knowledge development, knowledge modeling and ambiguity management, artificial cognition and self-evolution of learning, artificial brain components and cognitive architecture, and artificial psychological modeling. Explores the concepts of Artificial Psychology and Artificial Neuroscience as applied to advanced artificially cognitive systems; Provides insight into the world of cognitive architectures and biologically-based computing designs which will mimic human brain functionality in artificial intelligent systems of the future; Provides description and design of artificial psychological modeling to provide insight into how advanced artificial intelligent systems are learning and evolving; Explores artificial reasoning and inference architectures and the types of modeling and testing that will be required to "trust" an autonomous artificial intelligent systems. 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aUser interfaces (Computer systems) 606 $aNeurosciences 606 $aBehavior therapy 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067 606 $aNeurosciences$3https://scigraph.springernature.com/ontologies/product-market-codes/B18006 606 $aBehavioral Therapy$3https://scigraph.springernature.com/ontologies/product-market-codes/H54018 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aUser interfaces (Computer systems) 615 0$aNeurosciences. 615 0$aBehavior therapy. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aNeurosciences. 615 24$aBehavioral Therapy. 676 $a006.3 676 $a006.3 700 $aCrowder$b James A$4aut$4http://id.loc.gov/vocabulary/relators/aut$0720978 702 $aCarbone$b John$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aFriess$b Shelli$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910484702603321 996 $aArtificial Psychology$92209000 997 $aUNINA