Decoding Symbols, Computing Signs by Info-Computational Processes in Cognitive Agents

This paper advocates for a closer exchange of ideas between semiotics and computational research approaches to explore information processing and meaning-making in cognitive agents. By examining basal cognition, and new evolutionary synthesis, through agent-based models, the paper highlights the potential for interdisciplinary learning. A broader perspective on machines is proposed, especially intelligent computers capable of meaningful agency such as language use.