Conventional framing

Intelligence is commonly understood as the capacity to:

  • learn,
  • reason,
  • solve problems,
  • optimise behaviour,
  • or adapt flexibly to changing conditions.

In both biology and artificial intelligence research, these capacities are often treated as central indicators of sophisticated cognition or adaptive capability.

Because living systems frequently exhibit adaptive and flexible behaviour, intelligence is sometimes treated as a defining feature of life itself.

APS reframing

APS does not treat intelligence as the defining basis of life.

Living systems are fundamentally viability-oriented, self-maintaining organisations whose continued existence depends upon their own activity. Intelligence may emerge within such systems, but it presupposes an already existing organisation capable of sustaining itself across time.

APS therefore distinguishes:

  • biological agency,
  • cognition,
  • and intelligence.

Agency refers to the persistence-maintaining activity through which systems sustain their own viability.

Cognition refers to the integrated organisation of evaluative activity across time and context.

Intelligence refers to specialised forms of flexible, adaptive, predictive, or problem-solving organisation that may arise within cognitive systems.

Intelligence is therefore:

  • neither necessary for life,
  • nor sufficient to establish life.

Many living systems exhibit agency without intelligence in any strong sense, while some artificial systems may display intelligence-like behaviour without being alive.

Why the distinction matters

APS distinguishes life from intelligence in order to avoid reducing biology to:

  • optimisation,
  • computation,
  • problem-solving,
  • or behavioural sophistication alone.

This distinction is especially important in discussions of:

  • plant cognition,
  • artificial intelligence,
  • minimal cognition,
  • adaptive systems,
  • and biological agency.

Within APS, intelligence is understood as one possible organisational development within life rather than as the principle that explains life itself.