Metabolic Cognitive State Space: Dynamics of the 260-State Attention System

This paper introduces the concept of the Metabolic Cognitive State Space, a formal framework describing cognition as trajectories within a discrete system of 260 cognitive states. The model extends the Metabolic Cognition Engine architecture by defining a structured state space generated by the interaction between cognitive phases and functional agent types. The framework combines thirteen cognitive phases and twenty functional cognitive agents, producing a lattice of 260 possible cognitive configurations. Within this system, cognition is interpreted as movement through a structured cognitive landscape. Informational signals, meaning gradients, and agent interactions generate transitions between states. These transitions are regulated by metabolic attention dynamics described by the relation: P · V = k · T where attention pressure, attention volume, and cognitive temperature determine the stability and direction of cognitive trajectories. The resulting architecture allows cognition to be modeled as trajectories within a discrete cognitive phase space. Repeated trajectories may form attractors corresponding to stable cognitive regimes, while high-energy informational events may trigger rapid reorganization of the system. The framework provides a conceptual basis for analyzing cognitive dynamics in both biological and artificial systems. It also suggests computational implementations for artificial cognitive agents capable of navigating informational environments through metabolic attention regulation. This work extends the previously introduced MAD-ATT and Metabolic Cognition Engine frameworks and forms part of the broader Metabolic Weather research program investigating cognition as a dynamical metabolic process. The cognitive state space defined by the interaction between the 13 cognitive phases and 20 agent types forms a discrete toroidal topology. Because both dimensions are cyclic, the resulting state lattice corresponds to the product group Z13 × Z20 which can be interpreted as a discrete torus containing 260 possible cognitive states. Due to the relative primeness of 13 and 20, trajectories across this lattice can traverse all states before repeating, forming global cognitive cycles. This topology naturally supports cyclic cognitive trajectories, attractor structures, and long-range transitions within the 260-state system.