Brain and Its Universal Logical Model of Multi-Agent Biological Systems

Abstract We build a topological model, based on intuitionistic logic, for multi-agent biological systems (such as Physarum polycephalum , bacterial colonies or any other swarm), reacting to external nourishment stimuli. Our construction follows the description of brain activity, where particles (neurons) are activated by an environment, represented space X with open cover $$\{U_i:i\in I\}$$ { U i : ∈ I } . The builds model this via nerve (trace) Here body swarm made networks tubular structures represents also which means that gains orientation in stimuli even absence neural system. logic living organisms is subsets and thus can be Heyting algebra (i.e. intuitionistically). consider generalisation categorical context, category determined network This generalised up simulating behaviour logic.