Artificial Systems and Boundaries

Debates about the boundaries of life often focus on identifying the traits that distinguish living systems from non-living matter, machines, and other forms of organisation. Yet many boundary cases, including viruses, dormant organisms, artificial systems, and synthetic organisms, challenge trait-based definitions and resist straightforward classification. Within the Active Persistence System (APS) framework, the boundaries of life are understood not as boundaries of substance, complexity, or behaviour, but as boundaries of viability-oriented organised persistence. APS therefore reframes biological boundaries as organisational distinctions grounded in the active maintenance of the conditions required for continued existence. This article develops a general account of biological boundaries and explains how living, artificial, and borderline systems can be understood within a unified explanatory framework.

Biological theory has long struggled with borderline systems such as viruses, dormant organisms, protocells, synthetic constructs, and artificial systems. Traditional approaches often treat such cases as threats to biological definition because they resist straightforward classification. Within the APS framework, however, borderline cases are neither anomalies nor failures of theory. They are expected consequences of viability-oriented organisation. Because living systems exist along gradients of dependence, integration, autonomy, and persistence, biological boundaries are necessarily complex rather than absolute. Borderline systems therefore provide valuable opportunities to investigate the organisational conditions under which life emerges, persists, depends upon broader systems, and sometimes breaks down. APS thus transforms edge cases from conceptual problems into explanatory resources.

This article clarifies how the Agency–Process–Scale (APS) framework understands artificial intelligence and artificial systems in relation to life, agency, cognition, and organisation. APS argues that life is not defined by intelligence, behaviour, or computational sophistication, but by viability-oriented, constraint-closed organisation. Artificial systems may simulate agency or exhibit forms of functional cognition, yet this does not by itself establish that they are living systems.

Viruses occupy one of the most important boundary positions in biology. They evolve, replicate, and participate in ecological and evolutionary processes, yet they do not autonomously maintain the conditions required for their own persistence. This article examines viruses through the diagnostic and organisational framework of Active Persistence Systems (APS). By distinguishing definition from diagnosis and organisation from autonomous viability-oriented organisation, APS explains why viruses are biologically significant without classifying them as autonomous living systems. Viruses are interpreted as organisationally dependent participants in biological processes whose persistence relies upon the viability-oriented organisation of host systems.

Contemporary artificial intelligence systems increasingly display adaptive, responsive, and apparently agent-like behaviour. These developments have encouraged claims that biological and artificial systems differ only in degree rather than kind. APS rejects this conclusion. Behavioural sophistication, optimisation, intelligence-like behaviour, and adaptive responsiveness alone are insufficient for biological agency. Biological agency depends upon viability-oriented, continuity-preserving, self-maintaining organisation sustained across time, whereas contemporary AI systems remain externally maintained optimisation systems lacking endogenous persistence, operational normativity, and viability-oriented organised self-maintenance.

Computational descriptions are often useful in biology, but APS argues that computation cannot define what life is. Living systems are not algorithms executing predefined rules, but viability-oriented, constraint-closed organisations that actively maintain the conditions of their own persistence. Computation may model aspects of biological activity, but it presupposes the organised persistence of living systems rather than explaining it.

This article clarifies why APS does not treat intelligence as the defining basis of life. Intelligence may emerge within living systems, but it neither defines nor explains the viability-oriented organisation making living systems possible in the first place. APS distinguishes viability-oriented organised persistence from specialised forms of cognitive, predictive, representational, or problem-solving capacity. Intelligence therefore emerges only within already existing systems capable of evaluation, semiosis, meaning, cognition, and continuity-preserving biological agency.