Corpus ID: 2868646

Optimizing Associative Information Transfer within Content-addressable Memory

  title={Optimizing Associative Information Transfer within Content-addressable Memory},
  author={M. Prokopenko and D. Polani and P. Wang},
  journal={Int. J. Unconv. Comput.},
  • M. Prokopenko, D. Polani, P. Wang
  • Published 2008
  • Mathematics, Computer Science
  • Int. J. Unconv. Comput.
  • This paper investigates an information-theoretic design principle, intended to support an evolution of a memory structure fitting a specific selection pressure: associative information transfer through the structure. The proposed criteria measure how much does associativity in memory add to the information transfer in terms of precision, recall and effectiveness. The study also introduces a conjectural analogy between memory retrieval and self-replication, with DNA as a partially-associative… CONTINUE READING
    A tactics memory for a new theory of computing
    • 2


    Publications referenced by this paper.
    Optimizing Potential Information Transfer with Self-referential Memory
    • 4
    • PDF
    Sparse Distributed Memory
    • 929
    • Highly Influential
    Neural networks and physical systems with emergent collective computational abilities.
    • 11,837
    • PDF
    Self-replication and Evolution of DNA Crystals
    • 36
    • PDF
    Organization of the information flow in the perception-action loop of evolved agents
    • 75
    • PDF
    Self-reference and the encoding of personal information.
    • 1,540
    • PDF
    Sparse distributed memory and related models
    • 133
    • Highly Influential
    • PDF
    Representations of Space and Time in the Maximization of Information Flow in the Perception-Action Loop
    • 60
    • PDF
    Computation at the edge of chaos: phase transitions and emergent computation
    • 1,442
    • PDF