No. 3: Implementing Selves with Safe Motivational Systems and Self-Improvement

All Papers

• Finding Faults in Autistic and Software Active Inductive Learning

  Boris Galitsky, Igor Shpitsberg

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• Euclidean Automata

  Andras Kornai

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• The Maverick Nanny with a Dopamine Drip: Debunking Fallacies in the Theory of AI Motivation

  Richard Patrick William Loosemore

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• Evaluation Schemes for Safe AGIs

  Deepak Justin Nath

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• Experience of Crowds as a Guarantee for Safe Artificial Self

  Rafal Rzepka, Kenji Araki

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• Implementing a Safe “Seed” Self

  Mark R. Waser

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• Evaluating Human Drives and Needs for a Safe Motivational System

  Morgan J. Waser

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• Symposium Chair

  Mark Waser

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• Incorporating Elements of a Processual Self into Active Logic

  Justin Brody, Michael T. Cox, Donald Perlis

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• The Maximally Distributed Intelligence Explosion

  Francesco Albert Bosco Cortese

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• Reinforcement Learning and the Reward Engineering Principle

  Daniel Dewey

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