Artificial General Intelligence Book by Jordi Bieger
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Artificial General Intelligence

Artificial General Intelligence

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About the Book

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.- G odel Agents in a Scalable Synchronous Agent Framework.


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Product Details
  • ISBN-13: 9783319213644
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Edition: 2015 ed.
  • Language: English
  • Returnable: Y
  • Spine Width: 22 mm
  • Weight: 648 gr
  • ISBN-10: 3319213644
  • Publisher Date: 09 Jul 2015
  • Binding: Paperback
  • Height: 234 mm
  • No of Pages: 416
  • Series Title: Lecture Notes in Artificial Intelligence
  • Sub Title: 8th International Conference Agi 2015 Berlin, Germany July 22-25 2015, Proceedings
  • Width: 156 mm


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