Five Task Model Across Life, Evolution, and Artificial Systems

The Five Task Model proposes that adaptive intelligence consists of five ordered, cumulative informational control domains derived from empirical analysis of behavior change across 1,530 species. While the framework's core logic is straightforward—organisms must solve certain informational problems to maintain energy, safety, and reproduction under environmental variation—several conceptual ambiguities arise when applying the model to specific cases or interpreting edge cases.

This document addresses frequently anticipated questions that emerge during rigorous examination of the framework. These questions surfaced during peer discussions, application attempts, and systematic stress-testing of the model's boundaries. Rather than hiding ambiguities or pretending the framework has no edge cases, we make them explicit, provide operational criteria for resolving them, and demonstrate why uncertainty at boundaries does not undermine the model's core validity.

The questions are organized by topic: species-level vs. individual-level coding, task boundary distinctions, ambiguous organisms, evolutionary vs. contemporary application, and falsification criteria.

Sergei A. Frolov

Institute of Modern Psychology, Communication, and AI

CognitEvo Project