Ko and Neuberg’s affordance-management framework powerfully explains how individuals adapt across the lifespan by recalibrating perception, adjusting behavior, and restructuring environments. Yet it under-specifies the crucial internal process that directs these pillars. How does one know what to attend to, which behavior to select, or how to restructure the world to meet a goal? We argue the answer lies in cognitive control of semantic information or semantic control (Lambon Ralph et al., Reference Lambon Ralph, Jefferies, Patterson and Rogers2017; Reilly et al., Reference Reilly, Shain, Borghesani, Kuhnke, Vigliocco, Peelle and Vinson2025), the guidance system that makes the three pillars work.

Without a guiding mechanism, the three pillars are blind to meaning. How does the perceptual system (Pillar 1) detect whether cues signal a “mate” or a “rival” when the goals are not reducible to simple physical features? How does the behavioral system (Pillar 2) select the correct social script when the same person affords both “support” and “interference”? And how does the planning system (Pillar 3) restructure the social world to pursue an abstract goal like “status”? The pillars specify what changes, but not the cognitive engine that directs those changes.

This engine is semantic control: the ability to engage cognitive control over semantic information to flexibly retrieve, select, and manipulate conceptual knowledge based on context and goals (Lambon Ralph et al., Reference Lambon Ralph, Jefferies, Patterson and Rogers2017; Reilly et al., Reference Reilly, Shain, Borghesani, Kuhnke, Vigliocco, Peelle and Vinson2025). Ko and Neuberg’s kin-density example illustrates this: the environment objects (village members) are constant, but the semantic labels assigned to them shift across life stages. For a child, kin are a “support network”; for a teen seeking a partner, an “inbreeding risk”; and for a parent, an “alloparenting resource”. These shifts cascade to the pillars: perception tunes into supervision or support (Pillar 1), behavior adjusts accordingly (Pillar 2), and environments are restructured (Pillar 3). The same applies when reframing a “noisy bar” from “place to avoid” into a “mating arena”, guiding choices about evening activities. Managing affordances thus begins with managing their meaning.

This re-interpretation is not metaphorical but a concrete neurocognitive process that resolves a fundamental challenge in the brain. Contemporary theories posit that knowledge – the very meaning of things – emerges from integrating modality-specific sensory, motor, and emotional features (“spokes”) into amodal concepts in a central hub, primarily in the anterior temporal lobes (Lambon Ralph et al., Reference Lambon Ralph, Jefferies, Patterson and Rogers2017). This embodied view aligns with affordances: meaning is tied to how we can perceive and act (Barsalou, Reference Barsalou2008; Bechtold et al., Reference Bechtold, Cosper, Malyshevskaya, Montefinese, Morucci, Niccolai, Repetto, Zappa and Shtyrov2023). The challenge arises from the brain’s functional architecture: the ventral visual stream identifies objects, granting access to the semantic hub, while the dorsal stream computes possible actions, the affordances. Many actions are possible, but only one is functionally appropriate. Semantic control solves this. The Controlled Semantic Cognition framework (Lambon Ralph et al., Reference Lambon Ralph, Jefferies, Patterson and Rogers2017) posits that a left frontotemporoparietal control network exerts top-down influence on the entire representational system (Ambrosini et al., Reference Ambrosini, Benavides-Varela, Visalli, Viviani and Montefinese2024; Jackson, Reference Jackson2021; Noonan et al., Reference Noonan, Jefferies, Visser and Lambon Ralph2013). By amplifying goal-relevant meanings while suppressing dominant but irrelevant ones (e.g., amplifying the “danger” features of a rival while suppressing its “ally” features), semantic control provides the bias needed to select the single correct action from competing affordances in the parietal and premotor cortices (Montefinese et al., Reference Montefinese, Hallam, Thompson and Jefferies2020; Whitney et al., Reference Whitney, Kirk, O’Sullivan, Lambon Ralph and Jefferies2011). It provides the neural basis for flexibly reframing the world and transforms a landscape of physical possibilities into a single, meaningful path forward.

Crucially, semantic control follows a developmental arc that mirrors the life-stage shifts Ko and Neuberg describe. Its neural architecture matures through childhood and adolescence, precisely when social roles and goals undergo major shifts. Later in life, this capacity declines (Ambrosini et al., Reference Ambrosini, Peressotti, Gennari, Benavides-Varela and Montefinese2023; Haitas et al., Reference Haitas, Amiri, Wilson, Joanette and Steffener2021; Hoffman, Reference Hoffman2018, Reference Hoffman2019; Hoffman & Morcom, Reference Hoffman and Morcom2018), even as semantic representations remain stable or improve (Verhaeghen, Reference Verhaeghen2003). This arc provides a biological constraint: the ability to manage life-stage affordances depends not only on goals but on the brain’s capacity to reframe their world. Therefore, the successful navigation of life transitions may depend as much on the maturation and maintenance of this control network as on the ecological opportunities themselves.

This perspective aligns with lifespan theories such as Socioemotional Selectivity Theory (Carstensen, Isaacowitz, & Charles, Reference Carstensen, Isaacowitz and Charles1999), which views aging as a process of reframing experiences to optimize well-being, a clear exercise in semantic control. It also clarifies the mechanism of many clinical interventions, notably Cognitive Behavioral Therapy, which fundamentally trains patients to semantically reframe maladaptive thoughts and situations. Even the recent use of large language models in therapy underscores the central role of reinterpreting and reframing narratives (Stade et al., Reference Stade, Stirman, Ungar, Boland, Schwartz, Yaden and Eichstaedt2024).

Integrating semantic control into the affordance-management framework builds a crucial bridge between ecological accounts of behavior and the cognitive neuroscience of conceptual knowledge. It also addresses the central questions left open by Ko and Neuberg: what “sophisticated cognitive mechanisms” enable continuous reevaluation of environmental features? We propose semantic control as that mechanism. This view raises testable questions: Do individual differences in semantic control predict adaptive flexibility, and does its developmental trajectory constrain responses to shifting life-stage demands? Affordances are not simply “out there” to be perceived or managed; their very meaning is actively, and often effortfully, constructed and controlled in our minds. Adaptive affordance management is thus fundamentally an act of controlled cognition: to manage the external world’s affordances, we must first learn to manage their meaning within our own minds.