On Intelligence

  • It must be general: An individual intelligence must be able to learn and do a wide range of cognitive tasks
  • Real-time interactive learning utilizing environmental feedback
  • Learning, reasoning, and acting under knowledge and resource constraints
  • Unsupervised and self-supervised learning. One-shot/ instance learning
  • Short and long-term memory of interactions, plus prediction
  • Selective unlearning and re-learning (i.e. correcting errors)
  • Learning, recognition, and reasoning utilizing dynamic context and goals
  • Real-time autonomous concept formation, including highly abstract ones
  • Natural language ability, including deep understanding
  • Real-time adaptive focus and selection
  • Has concept ontology grounded in experience, including cause and affect relationships
  • Inherent transfer-learning: knowledge and cognitive skills can be applied to any domain
  • Deep integration and synergistic interaction of knowledge, memory, cognition and skills
  • Introspection, and meta-cognitive control
  • Cognition/ reasoning that includes a theory-of-mind (other agent’s mental states)
  • Data and algorithms are scrutable (not black box)
  • Cognitive algorithm code is implemented as integrated ‘brain’ skills
  • Externally generated ontologies and skills can be integrated
  • External conventional databases and programs can be deeply connected
  • ‘Brains’ can be merged

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Entrepreneur, Futurist, AGI Developer: agi-3.com Aigo.ai

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Peter Voss

Peter Voss

Entrepreneur, Futurist, AGI Developer: agi-3.com Aigo.ai

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