activity
20082021
most citedEntropy Measures vs. Algorithmic Information

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.PL2021

Splitting recursion schemes into reversible and classical interacting threads

Armando B. Matos, Luca Paolini, Luca Roversi

Given a simple recursive function, we show how to extract from it a reversible and an classical iterative part. Those parts can synchronously cooperate under a Producer/Consumer pa…

cs.PL2021

Interleaving classical and reversible

Armando B. Matos, Luca Paolini, Luca Roversi

Given a simple recursive function, we show how to extract two interacting processes from it. The two processes can be described by means of iterative programs, one of which is intr…

cs.LO2016

Primitive recursive functions versus partial recursive functions: comparing the degree of undecidability

Armando B. Matos

Consider a decision problem whose instance is a function. Its degree of undecidability, measured by the corresponding class of the arithmetic (or Kleene-Mostowski) hierarchy hierar…

cs.CC2009

Measuring communication complexity using instance complexity with oracles

Armando Matos, Andreia Teixeira, Andre Souto

We establish a connection between non-deterministic communication complexity and instance complexity, a measure of information based on algorithmic entropy. Let , $\o…

cs.IT2009★ 1 cited

Entropy Measures vs. Algorithmic Information

Andreia Teixeira, Andre Souto, Armando Matos +1

Algorithmic entropy and Shannon entropy are two conceptually different information measures, as the former is based on size of programs and the later in probability distributions.…

cs.CC2008

Depth as Randomness Deficiency

Luis Antunes, Armando Matos, Andre Souto +1

Depth of an object concerns a tradeoff between computation time and excess of program length over the shortest program length required to obtain the object. It gives an uncondition…