Positive Affirmation of Non-Algorithmic Information Processing

TL;DR

This paper explores the concept of biological hyper-computation, arguing that living systems process information non-algorithmically, which challenges traditional views and offers new insights into biological information processing.

Contribution

It provides a positive argument supporting non-algorithmic information processing in living systems, advancing the understanding of biological hyper-computation.

Findings

Supports non-algorithmic processing in living systems

Proposes a new perspective on biological information processing

Challenges traditional algorithmic models of cognition

Abstract

One of the most compelling problems in science consists in understanding how living systems process information. After all, the way they process information defines their capacities to learning and adaptation. There is an increasing consensus in that living systems are not machines in any sense. Biological hyper-computation is the concept coined that expresses that living beings process information non-algorithmically. Maldonado and Gomez (2015) have brought up biological hyper-computation as a new problem within complexity science. This paper aims at proving a positive understanding of non-algorithmic processes. A number of arguments are brought that support the claim. This fosters, it is argued, a brand new understanding of information processing among living beings. Some conclusions are drawn at the end.