Detaching Cognition from Biology. Lessons from the 1530 Species Dataset

This post argues that cognition can be detached from biology without being redefined into abstraction. The Five Task Model does not invent a new meaning of cognition; it makes cognition visible by changing the observational angle. Instead of beginning with mental states, neural mechanisms, representations, consciousness, or human-like intelligence, the model begins with behavior change: the observable B1→B2 transition that occurs when an informational situation becomes relevant to maintaining Energy, Safety, and Reproduction. In the Five Task Model, cognition is organized across five cumulative informational task domains: 1. Binary Environmental Control; 2. Distal Engagement Control; 3. Perception-Shaping Control; 4. Group-Dynamics Control; 5. Rule-Guided Formalized Symbolic Control. These domains are not proposed as a metaphorical list of cognitive “abilities.” They describe recurrent classes of informational situations that force living systems to regulate behavior change in order to remain viable. The central claim is simple but consequential: cognition is not detached from biology by borrowing the word and applying it to artificial systems. It is detached only when the underlying architecture is specified. Detachment without redefinition means identifying what biological systems already reveal: a finite scaffold of informational tasks that regulate when behavior must change in order to preserve viability. This matters especially for artificial intelligence. AI systems cannot borrow the word cognition without building the architecture. Scale, fluency, benchmark performance, symbolic output, and task execution may produce powerful systems, but they do not by themselves establish cognition in the Five Task Model sense. A genuinely cognitive artificial system would need to recognize informational task domains, select among viable continuations, and regulate behavior change under organizing constraints. The question therefore shifts from “Can AI imitate cognition?” to “Can an artificial system control the informational tasks that cognition evolved to solve?” In this work, we explain how the Five Task Model helps detach cognition from biology while preserving the architecture that made cognition visible in biological systems in the first place. The goal is not to strip cognition of its evolutionary origin, nor to reduce life to computation. The goal is to identify the control structure that biology has already implemented across living systems and ask whether that structure can, in principle, be transferred to artificial agents. If cognition is understood as control over informational tasks under viability constraints, then the decisive issue is not whether the carrier is biological or artificial. The decisive issue is whether the system possesses the architecture required to recognize task domains, evaluate alternatives, and regulate behavior change in a changing world.