The Definition of the Robot: Distributed Agency Computation and the Independence Illusion

This paper argues that the standard definition of the robot — a physically embodied, programmable machine that acts in the physical world — is a historical artifact of technological constraint rather than a principled definition of what a robot is. Building on the Law of Intelligence Propagation (LIP) and the tool inversion analysis of Paper Four, this paper introduces the concept of Distributed Agency Computation (DAC): the capacity to generate meaningful change in a system through computational signal rather than physical actuation. The argument proceeds through three independent lines of evidence. First, the ISO 8373:2021 definition of robotics is analyzed to show that its physical embodiment requirements encode a technological constraint of the 1950s–2000s rather than a structural property of agency. Second, Latour's (1992) actor-network theory and Gibson's (1979) ecological theory of affordances together establish that agency is a relational property distributed across agent-environment configurations, not a property of physical form. Third, plant electrical signaling (Fromm Hedrich et al., 2016) provides the biological extreme case: functionally significant agency does not require a nervous system, a body plan, or locomotion. The convergence of these lines establishes the Independence Illusion: the belief that AI requires physical embodiment to act in the world. This illusion misidentifies the body as the agent when it was always the interface.