Rudra M. Tripathy, Amitabha Bagchi, et al.
Intelligent Data Analysis
A new definition of program-size complexity is made. H(A,B/C,D) is defined to be the size in bits of the shortest self-delimiting program for calculating strings A and B if one is given a minimal-size self-delimiting program for calculating strings C and D. This differs from previous definitions: (1) programs are required to be self-delimiting, i.e. no program is a prefix of another, and (2) instead of being given C and D directly, one is given a program for calculating them that is minimal in size. Unlike previous definitions, this one has precisely the formal properties of the entropy concept of information theory. For example, H(A,B) = H(A) + H(B/A) -0(1). Also, if a program of length k is assigned measure 2 -k, then H(A) = -log2 (the probability that the standard universal computer will calculate A) -{- 0(1). © 1975, ACM. All rights reserved.
Rudra M. Tripathy, Amitabha Bagchi, et al.
Intelligent Data Analysis
Michael Factor, Dafna Sheinwald
Information Sciences
Atul Kumar
ISEC 2025
Rakesh Mohan, Ramakant Nevatia
IEEE Transactions on Pattern Analysis and Machine Intelligence