LEADER 06370nam 22008415 450 001 9910484379003321 005 20251226200250.0 010 $a3-319-21365-2 024 7 $a10.1007/978-3-319-21365-1 035 $a(CKB)3710000000454190 035 $a(SSID)ssj0001558440 035 $a(PQKBManifestationID)16183963 035 $a(PQKBTitleCode)TC0001558440 035 $a(PQKBWorkID)14818756 035 $a(PQKB)11484653 035 $a(DE-He213)978-3-319-21365-1 035 $a(MiAaPQ)EBC6283840 035 $a(MiAaPQ)EBC5586973 035 $a(Au-PeEL)EBL5586973 035 $a(OCoLC)914299943 035 $a(PPN)187688753 035 $a(EXLCZ)993710000000454190 100 $a20150714d2015 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aArtificial General Intelligence $e8th International Conference, AGI 2015, AGI 2015, Berlin, Germany, July 22-25, 2015, Proceedings /$fedited by Jordi Bieger, Ben Goertzel, Alexey Potapov 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (XII, 416 p. 92 illus.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v9205 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-319-21364-4 327 $aModeling Motivation in MicroPsi 2 -- Genetic Programming on Program Traces as an Inference Engine for Probabilistic Languages -- Scene Based Reasoning -- Anchoring Knowledge in Interaction: Towards a harmonic subsymbolic/symbolic framework and architecture of computational cognition -- Safe Baby AGI -- Observation, Communication and Intelligence in Agent-Based Systems -- Reffective Variants of Solomono Induction and AIXI -- Are there Deep Reasons Underlying the Pathologies of Today's Deep Learning Algorithms? -- Speculative Scientific Inference via Synergetic Combination of Probabilistic Logic and Evolutionary Pattern Recognition -- Stochastic Tasks: Difficulty and Levin Search -- Instrumental Properties of Social Testbeds -- Towards Human-Level Inductive Functional Programming -- Anytime Bounded Rationality -- Ultimate Intelligence Part I: Physical Completeness and Objectivity of Induction -- Towards Emotion in Sigma: From Appraisal to Attention -- Inferring human values for safe AGI design -- Two Attempts to Formalize Counter possible Reasoning in Deterministic Settings -- Bounded Cognitive Resources and Arbitrary Domains -- Using Localization and Factorization to Reduce the Complexity of Reinforcement Learning -- Towards Flexible Task Environments for Comprehensive Evaluation of Artificial Intelligent Systems & Automatic Learners -- Assumptions of Decision-Making Models in AGI -- Issues in Temporal and Causal Inference -- The Space of Possible Mind Designs.-A Definition of Happiness for Reinforcement Learning Agents -- Expression Graphs: Unifying Factor Graphs and Sum-Product Neworks -- Toward tractable universal induction through recursive program learning -- How can Cognitive Modeling Benefit from Ontologies? Evidence from the HCI Domain -- C-tests revisited: back and forth with complexity -- A New View on Grid Cells Beyond the Cognitive Map Hypothesis -- Programming languages and artificial general intelligence -- From Specialized Syntax to General Logic: The Case of Comparatives -- Decision-Making During Language Understanding by Intelligent Agents -- Plan Recovery in Reactive HTNs Using Symbolic Planning -- Optimization Framework with Minimum Description Length Principle for Probabilistic Programming -- Can Machines Learn Logics? -- Comparing Computer Models Solving Number Series Problems -- Emotional Concept Development -- The Cyber-Physical System Approach towards Artificial General Intelligence: The Problem of Verification -- Analysis of Types of Self-Improving Software -- On the Limits of Recursively Self-Improving AGI -- Godel Agents in a Scalable Synchronous Agent Framework. 330 $aThis book constitutes the refereed proceedings of the 8th International Conference on Artificial General Intelligence, AGI 2015, held in Berlin, Germany in July 2015. The 41 papers were carefully reviewed and selected from 72 submissions. The AGI conference series has played, and continues to play, a significant role in this resurgence of research on artificial intelligence in the deeper, original sense of the term of ?artificial intelligence?. The conferences encourage interdisciplinary research based on different understandings of intelligence, and exploring different approaches. AGI research differs from the ordinary AI research by stressing on the versatility and wholeness of intelligence, and by carrying out the engineering practice according to an outline of a system comparable to the human mind in a certain sense. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v9205 606 $aArtificial intelligence 606 $aMachine theory 606 $aPattern recognition systems 606 $aAlgorithms 606 $aApplication software 606 $aSoftware engineering 606 $aArtificial Intelligence 606 $aFormal Languages and Automata Theory 606 $aAutomated Pattern Recognition 606 $aAlgorithms 606 $aComputer and Information Systems Applications 606 $aSoftware Engineering 615 0$aArtificial intelligence. 615 0$aMachine theory. 615 0$aPattern recognition systems. 615 0$aAlgorithms. 615 0$aApplication software. 615 0$aSoftware engineering. 615 14$aArtificial Intelligence. 615 24$aFormal Languages and Automata Theory. 615 24$aAutomated Pattern Recognition. 615 24$aAlgorithms. 615 24$aComputer and Information Systems Applications. 615 24$aSoftware Engineering. 676 $a006.3 702 $aBieger$b Jordi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGoertzel$b Ben$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPotapov$b Alexey$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484379003321 996 $aArtificial General Intelligence$94183679 997 $aUNINA