Summary made by Quivr/GPT-4

This document discusses the concept of naturalizing logic, which means understanding logic as a part of natural sciences, and its implications in various fields. It draws on the works of philosophers like Quine and Woleński, who argue that logic should be studied in the context of cognitive science and evolutionary theory.

The document also explores the idea of logic as an information exchange, which is inherently relational. This perspective has led to the integration of disciplines like economics and social sciences into the study of logic. The document suggests that this shift from a human-centric perspective to a cognitive and intelligent agent-centric perspective allows for a broader understanding of logic across various levels of cognitive/intelligent systems.

The document also discusses the practical applications of this approach, particularly in the design and building of artificial intelligence systems and robots. By connecting morphological computing and cognition to practical logic, the authors aim to create AI systems that are more closely aligned with principles found in natural biological systems.

In summary, the document explores the idea of naturalizing logic, its implications in various fields, and its potential benefits in the design and building of AI systems. The most significant revelation is the shift from a human-centric perspective to a cognitive and intelligent agent-centric perspective in the study of logic, which allows for a broader understanding of logic across various levels of cognitive/intelligent systems.