We hypothesize that general computational machines with sufficient resources possess the necessary and sufficient means to implement consciousness, and that successful implementation can be established via analysis or testing.

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• General computational machines with sufficient resources possess the necessary and sufficient means to implement consciousnesshypothesis0.946
  CIMC's central testable hypothesis grounding the entire research program
• If computational functionalism is correct, then some computations suffice for consciousness and the question is which ones and when they will exist in AI.hypothesis0.876
  Conditional underlying the consciousness route.
• The Machine Consciousness Hypothesis rests on metaphysical assumptions summarized as computationalist functionalism, which is a necessary but not sufficient condition for the hypothesis.claim0.843
  Paper's statement of the metaphysical presuppositions of the MCH
• Human consciousness is tied to a biological learning algorithm — the simplest algorithm discoverable by evolutionary search to train a self-organizing biological substrate to become intelligent.claim0.841
  Core theoretical claim connecting consciousness to biological learning
• It is basically impossible to determine if a computer program generates conscious experience by merely observing its performance; a test for consciousness must take internal structure into account.claim0.839
  Paper's argument against behavioral tests for consciousness, establishing why MCH requires internal analysis
• will different systems facing similar computational problems converge to similar solutions, including consciousness?question0.839
  Key question for the Machine Consciousness Hypothesis and the universality hypothesis extension
• Consciousness remains without an agreed scientific characterization, without a validated theory connecting mechanism to experience, and without criteria for establishing its presence or absence in any systemclaim0.837
  CIMC's characterization of the current state of the field motivating its research program
• Different learning systems facing similar computational problems will converge to similar consciousness-like solutions, including potentially biological and artificial systemshypothesis0.834
  Extension of the Universality Hypothesis to consciousness: if consciousness solves a well-defined computational problem, different systems will discover it independently