Skip to main content
Article thumbnail
Location of Repository

Grounded Concept Development Using Introspective Atoms

By Eric Berkowitz and Mastenbrook Brian


In this paper we present a system that uses its underlying physiology, a hierarchical memory and a collection of memory management algorithms to learn concepts as cases and to build higher level concepts from experiences represented as sequences of atoms. Using a memory structure that requires all base memories to be grounded in introspective atoms, the system builds a set of grounded concepts that must all be formed from and applied to this same set of atoms. All interaction the system has with its environment must be represented by the system itself and therefore, given a complete ability to perceive its own physiological and mental processes,can be modeled and recreated

Topics: Robotics
Publisher: Omnipress
Year: 2003
OAI identifier:

Suggested articles


  1. (1997). A Computer Model of Embodiment in the Acqusition of Action Verbs.
  2. (2001). Body based reasoning using a feeling-based lexicon, mental imagery and an objectoriented metaphor hierarchy.
  3. (1992). Concept acquisition by autonomous agents: Cognitive modeling versus the engineering approach.
  4. (2001). Early childhood education developmental or academic. Education Next.
  5. (1993). Feeling-based schemas, neuralarchitectures, and distributed ai: From schema assemblage to neural networks.
  6. (1991). Intelligence without representation.
  7. (1993). Intelligence without robots: A reply to brooks.
  8. (2000). Metaphor-Based Reasoning for Software Agents and Heterogeneous Robots Using BodyBased Feeling Sequences.
  9. (1987). The Body in the Mind: The Bodily Basis of Meaning Imagination, and Reason. doi
  10. (1992). The role of memory and concepts

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.