computaties

Computaties is a proposed interdisciplinary field that studies computation as it occurs across diverse systems, including digital computers, biological media, and social infrastructures. It aims to understand how information is represented, transformed and used to produce behavior and outcomes within complex environments.

The term appears in speculative and theoretical contexts to unify concepts from computer science, information theory, cognitive science, and systems engineering. Researchers in computaties explore computational principles that govern natural processes, such as signaling in cellular networks, alongside engineered algorithms and architectures.

Core areas include generalized models of computation beyond traditional frameworks, data ethics and governance, scalable simulation, learning and adaptation, and the interfaces between humans and machines.

Methodologically, computaties draws on mathematical modeling, empirical experimentation, computational neuroscience, and interdisciplinary collaboration across engineering, biology, and social science.

Applications span adaptive software design, resilient networks, bio-inspired computing, AI safety, and digital governance. Critics warn that the lack of a single formal definition can hinder precision, while supporters argue that the breadth fosters cross-disciplinary insight.

See also: computation theory, information theory, cognitive science, complex systems, artificial intelligence.