Artificial General Intelligence (eBook)
XII, 416 Seiten
Springer International Publishing (Verlag)
978-3-319-21365-1 (ISBN)
Modeling 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.
Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
---|---|
Verlagsort | Cham |
Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Informatik |
Schlagworte | Algorithmic information theory • artificial general intelligence • Artificial Intelligence • artificial intelligence benchmarks and evaluation • Cognitive architectures • Cognitive Robotics • cognitive science • computer vision • control methods • Cybernetics • friendly artificial intelligence • Intelligent Agents • knowledge reasoning • Knowledge Representation • Natural Language Processing • perception and perceptual modeling • philosophical foundations of artificial intelligence • Reinforcement Learning • strong artificial intelligence • theoretical foundations of artificial intelligence |
ISBN-10 | 3-319-21365-2 / 3319213652 |
ISBN-13 | 978-3-319-21365-1 / 9783319213651 |
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