Habit Learning

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Learningconcept0.845
  Inference of parameters encoding contingencies of the world (e.g., likelihood matrix A) at slower timescale than perception.
• Concept Learningconcept0.774
  Acquisition of new concepts by Bayesian model expansion and reduction.
• Associative Learningconcept0.773
  Sentience criterion; capacity occurs even in gene regulatory networks and non-neural morphogenetic agents.
• Multi-Task Learningconcept0.768
  Learning paradigm that jointly learns multiple related tasks using a single model
• Q-learningmethod0.766
  Model-free RL algorithm used in experimental comparison; employs ε-greedy exploration.
• Early learningconcept0.764
  The primary domain in which Nicholson's Theory of Loose Parts became influential and known.
• Learning performanceconcept0.762
  How well an RL agent learns, measured by reward curves and associated with causal emergence levels.
• Perceptual Learningconcept0.761
  Process of inferring causes of sensory information; unified with value learning as integral aspects of free energy minimization.