Miguel Caldas

Papers

Total Citations

H-Index

About

Miguel Caldas is a pioneering researcher at the intersection of artificial intelligence and biosemiotics, exploring how biological sign processes can inform the design of artificial cognitive systems. His most influential work, "Modelling Artificial Cognition in Biosemiotic Terms" (2012), has garnered 7 citations and represents a foundational contribution to the emerging field of cognitive semiotics. In this paper, Caldas proposes a novel framework for understanding artificial cognition through the lens of biosemiotics—the study of meaning-making in living systems—arguing that AI systems can be modeled as sign-using agents rather than mere computational devices. This interdisciplinary approach bridges theoretical biology, philosophy of mind, and computer science, offering fresh perspectives on how machines might achieve genuine understanding. Caldas’s work is notable for its conceptual rigor and its challenge to conventional AI paradigms, making him a key voice in debates about the nature of cognition and consciousness. His research continues to inspire scholars seeking to integrate semiotic theory with artificial intelligence, positioning him as a thought leader in this niche but growing area of study.