TY - GEN
T1 - Optimizing potential information transfer with self-referential memory
AU - Prokopenko, Mikhail
AU - Polani, Daniel
AU - Wang, Peter
PY - 2006
Y1 - 2006
N2 - This paper investigates an information-theoretic design principle, intended to support an evolution of a memory structure fitting a specific selection pressure: potential 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. Maximization of the latter results in holographic memory structures that can be interpreted in self-referential terms. The study introduces an analogy between self-replication and memory retrieval, with DNA as a partially-associative memory containing relevant information. DNA decoding by a complicated protein machinery ("cues" or "keys") may corresponds to an associative recall: i.e., a replicated offspring is an associatively-recalled prototype. The proposed information-theoretic criteria intend to formalize the notion of information transfer involved in self-replication, and enable bio-inspired design of more effective memory structures.
AB - This paper investigates an information-theoretic design principle, intended to support an evolution of a memory structure fitting a specific selection pressure: potential 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. Maximization of the latter results in holographic memory structures that can be interpreted in self-referential terms. The study introduces an analogy between self-replication and memory retrieval, with DNA as a partially-associative memory containing relevant information. DNA decoding by a complicated protein machinery ("cues" or "keys") may corresponds to an associative recall: i.e., a replicated offspring is an associatively-recalled prototype. The proposed information-theoretic criteria intend to formalize the notion of information transfer involved in self-replication, and enable bio-inspired design of more effective memory structures.
UR - http://www.scopus.com/inward/record.url?scp=33749988021&partnerID=8YFLogxK
M3 - Conference proceeding contribution
AN - SCOPUS:33749988021
SN - 3540385932
SN - 9783540385936
VL - 4135 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 228
EP - 242
BT - Unconventional Computation - 5th International Conference, UC 2006, Proceedings
PB - Springer, Springer Nature
CY - Berlin; Heidelberg
T2 - 5th International Conference on Unconventional Computation, UC 2006
Y2 - 4 September 2006 through 8 September 2006
ER -