The catalog, page 43
Records 10,501 to 10,618 of 10,618. Explained and Verified records first, then newest. Every row carries the label that says how far the checking went.
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Bayesian Utility: Representing Preference by Probability Measures
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Timeless Decision Theory: Problems I Can't Solve
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The Strangest Thing An AI Could Tell You
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Reasoning About Knowledge of Unawareness Revisited
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Shane Legg on prospect theory and computational finance
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Finding Causes of Program Output with the Java Whyline
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Newcomb's Problem standard positions
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Rationality: Common Interest of Many Causes
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Building the information kernel and the problem of recognition
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Why I Want to be a Posthuman when I Grow Up
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Engelbart: Insufficiently Recursive
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Ends Don't Justify Means (Among Humans)
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Probing the Improbable: Methodological Challenges for Risks with Low Probabilities and High Stakes
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Artificial Intelligence as a positive and negative factor in global risk
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Cognitive biases potentially affecting judgement of global risks
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Explaining classifications for individual instances
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A Comprehensive Survey of Multiagent Reinforcement Learning
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Idiotypic Immune Networks in Mobile Robot Control
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Newcomb's Problem and Regret of Rationality
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Global Catastrophic Risks Survey
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Principles of Model Checking, Chapter 1-7,10
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Pascal's Mugging: Tiny Probabilities of Vast Utilities
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Three Major Singularity Schools
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Sleeping Beauty and Self-location: A Hybrid Model
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If multi-agent learning is the answer, what is the question?
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The Myth of the Rational Voter: Why Democracies Choose Bad Policies
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Universal Algorithmic Intelligence: A mathematical top->down approach
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Bayesian Inverse Reinforcement Learning
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Artificial General Intelligence
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Modelling Morality with Prospective Logic
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Computational Models of Ethical Reasoning: Challenges, Initial Steps, and Future Directions
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A Decision-Making Support System Based on Know-How
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A Formal Measure of Machine Intelligence
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Assuring the Behavior of Adaptive Agents
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Building Explainable Artificial Intelligence Systems
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Can Machine Learning Be Secure?
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Transparency and Socially Guided Machine Learning
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How unlikely is a doomsday catastrophe?
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Evidence with Uncertain Likelihoods
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The Fable of the Dragon-Tyrant
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Explainable Artificial Intelligence for Training and Tutoring
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Power laws, Pareto distributions and Zipf’s law
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Intelligent Machinery, A Heretical Theory (c.1951)
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An Explainable Artificial Intelligence System for Small-unit Tactical Behavior
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Designing the Whyline: A Debugging Interface for Asking Questions about Program Behavior
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A Critical Look at Risk Assessments for Global Catastrophes
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All of Statistics, Chapters 1-12 or more (an easy-to-read overview of the field)
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Apprenticeship Learning via Inverse Reinforcement Learning
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Coherent Extrapolated Volition
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Diagnostic reasoning with A-Prolog
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A logic for reasoning about upper probabilities
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Beslutstödssystemet Dezzy - en översikt
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A Framework for the Safety of Agent-Environment Systems
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A Brief History of Generative Models for Power Law and Lognormal Distributions
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Astronomical Waste: The Opportunity Cost of Delayed Technological Development: Nick Bostrom
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Ethical Issues in Advanced Artificial Intelligence
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Understanding Formal Methods, Chapters 1-10
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The Complexity of Decentralized Control of Markov Decision Processes
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A Spectrum of Applications of Automated Reasoning
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The Evolved Radio and its Implications for Modelling the Evolution of Novel Sensors
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Representing and Aggregating Conflicting Beliefs
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Anthropic bias: observation selection effects in science and philosophy
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Synchronization on small-world networks
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A Mathematical Introduction to Logic, Chapters 0-3 (alternative to Boolos and Burgess)
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Algorithms for Inverse Reinforcement Learning
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A Theory of Universal Artificial Intelligence based on Algorithmic Complexity
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Why the Future Doesn’t Need Us
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Do the desires of rational agents converge?
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Policy invariance under reward transformations: Theory and application to reward shaping
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Learning agents for uncertain environments
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Long-Term Growth as a Sequence of Exponential Modes
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On the Interpretation of Decision Problems with Imperfect Recall
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An Integrated Framework for Learning and Reasoning
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Provably Bounded-Optimal Agents
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Provably Bounded-Optimal Agents
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Artificial Intelligence: A Modern Approach
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Linear Matrix Inequalities in System and Control Theory
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Incentive Compatibility and the Bargaining Problem
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Appendix I of Systemantics: How Systems Work and Especially How They Fail
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Machines and the Theory of Intelligence
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When is a Linear Control System Optimal
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