Chapter 13 Attention Schema Theory

13.1 Chapter Overview

Attention Schema Theory (AST) proposes that consciousness is the brain’s simplified internal model of its own attention (Graziano 2013; graziano2016?). According to this framework, awareness is not identical to attention itself. Instead, awareness emerges because the brain constructs a simplified representation—or schema—of attentional processes for purposes of monitoring, prediction, and control.

AST attempts to explain not only:

• how brains control attention, but also:
• why organisms believe themselves to be conscious.

Rather than treating consciousness as a mysterious nonphysical property, AST interprets awareness as a model-based construct generated by cognitive systems.

The theory became especially influential because it integrates:

• attention research;
• self-representation;
• control theory;
• social cognition;
• and neuroscience

within a unified explanatory framework.

At the same time, AST remains controversial because critics argue that internal models of attention may explain:

• self-report;
• awareness attribution;
• attentional monitoring;
• and beliefs about consciousness

without fully explaining:

• phenomenal feeling;
• qualia;
• or subjective experience itself.

This chapter examines the historical development, conceptual foundations, mechanisms, neural basis, empirical evidence, philosophical implications, strengths, criticisms, and unresolved questions associated with Attention Schema Theory.

13.2 Learning Objectives

After reading this chapter, the reader should be able to:

• Define the central claims of Attention Schema Theory
• Distinguish attention from awareness
• Explain the concept of an attention schema
• Describe the body-schema analogy used in AST
• Analyze the relationship between awareness and attentional control
• Explain the social cognition implications of AST
• Compare AST with Higher-Order Thought Theory and Global Workspace Theory
• Evaluate the strengths and criticisms of AST
• Discuss the relationship between AST and the hard problem
• Explain AST’s implications for AI and machine consciousness

13.3 Why Attention Schema Theory Became Influential

AST became influential because it attempted to answer an unusual but important question:

Why do brains represent themselves as conscious?

Many theories attempt to explain:

• neural activity;
• information integration;
• or cognitive access.

AST instead focuses on:

the brain’s internal model of awareness itself.

Michael Graziano proposed that the brain constructs simplified internal models to regulate complex systems efficiently.

Just as the brain builds:

• body schemas;
• motor maps;
• and spatial models,

AST proposes that the brain also builds:

a model of attention.

According to the theory, this attentional model becomes experienced as:

awareness.

This proposal became highly influential because it connected consciousness research directly with:

• attentional neuroscience;
• control theory;
• predictive regulation;
• self-modeling;
• and social cognition.

AST also became important because it offers a partially deflationary interpretation of consciousness:

awareness may be a useful internal model,
not a mysterious nonphysical essence.

This idea strongly influenced debates concerning:

• consciousness;
• selfhood;
• introspection;
• and artificial intelligence.

13.4 Core Idea in One Picture

Figure 13.1 summarizes the major conceptual structure of Attention Schema Theory.

Figure 13.1: Attention Schema Theory (AST). Panel A distinguishes attention, awareness, and the attention schema. Panel B illustrates the body-schema analogy. Panel C shows the attentional control loop. Panel D compares AST with related theories of consciousness. Panel E illustrates the relationship between awareness and social cognition.

As illustrated in Figure 13.1, AST proposes that awareness is:

the brain’s internal model of attention
rather than attention itself.

The figure also highlights one of AST’s most important conceptual claims:

attention
≠
awareness

According to AST:

• attention is a process;
• awareness is the brain’s simplified representation of that process.

This distinction is fundamental to the theory.

13.5 Historical Development

Attention Schema Theory emerged from broader debates concerning:

• consciousness;
• attention;
• self-representation;
• cognitive control;
• and internal modeling.

Modern AST is primarily associated with Michael Graziano (Graziano 2013; graziano2016?).

AST developed partly in response to limitations in theories that treated consciousness either as:

• an unexplained subjective essence; or:
• a vague by-product of cognition.

Instead, AST attempts to explain why organisms possess:

• beliefs about awareness;
• reports of consciousness;
• and intuitions concerning subjective experience.

The theory combines ideas from:

• attention research;
• control theory;
• body-schema theory;
• predictive modeling;
• neuroscience;
• and social cognition.

Importantly, AST attempts to place consciousness within:

ordinary biological information processing

rather than treating awareness as fundamentally separate from cognitive function.

13.6 The Attention Schema

The central concept in AST is the:

attention schema.

An attention schema is an internal model constructed by the brain to represent and monitor attentional allocation.

Figure 13.1 Panel A illustrates this process.

According to AST:

1. sensory stimuli compete for processing;
2. attention selectively enhances certain information;
3. the brain constructs a simplified internal model of attentional allocation;
4. this model is experienced as awareness.

Importantly:

Awareness is not attention itself.
Awareness is the brain’s model of attention.

This distinction is the conceptual foundation of AST.

The schema does not need to represent neural reality perfectly.

Instead, it functions as a simplified control model useful for:

• monitoring;
• prediction;
• coordination;
• and behavioural regulation.

13.7 Attention vs Awareness

AST strongly distinguishes between:

• attention; and:
• awareness.

Figure 13.1 Panel A visually illustrates this distinction.

13.8 Attention

Attention refers to selective information processing.

Attention determines:

• which stimuli receive enhanced processing;
• which information gains cognitive priority;
• where processing resources are allocated.

Importantly:

attention can occur unconsciously.

Attention itself does not automatically imply awareness.

13.9 Awareness

Awareness refers to the brain’s internal representation of attentional allocation.

According to AST:

awareness = the modeled state of attention.

When the brain constructs a model of its own attentional state, the organism reports:

“I am aware of that object.”

This allows AST to explain why:

• attention and awareness are strongly related, while:
• still remaining conceptually distinct.

13.10 The Body Schema Analogy

One of AST’s most elegant ideas is the analogy between:

• body schemas; and:
• attention schemas.

The brain already constructs internal body models used for:

• posture;
• movement;
• coordination;
• motor prediction;
• spatial control.

Figure 13.1 Panel B illustrates this analogy.

As shown in Panel B:

• the brain simplifies bodily structure into usable internal models;
• AST proposes that attention is modeled similarly.

These body models are not perfectly accurate descriptions of anatomy.

Instead, they are simplified functional representations useful for control.

AST proposes that awareness functions similarly:

awareness may be a control-oriented model
of attentional allocation.

This analogy became one of AST’s most influential conceptual contributions.

13.11 Attention Control and Prediction

AST argues that internal models improve control of complex systems.

Figure 13.1 Panel C illustrates this attentional control loop.

According to AST:

• the brain monitors attentional allocation;
• predicts attentional consequences;
• dynamically reallocates attention;
• improves behavioural flexibility;
• and regulates cognitive resources.

The attention schema therefore functions as a control model helping coordinate:

• perception;
• action;
• cognition;
• and behavioural prioritization.

This provides an important evolutionary rationale for why awareness may have evolved.

13.12 Why Awareness Would Evolve

AST attempts not only to explain what awareness is, but also:

why awareness evolved.

According to AST, awareness provides adaptive value because internal models improve:

• prediction;
• attentional control;
• behavioural flexibility;
• environmental monitoring;
• social interaction;
• and cognitive coordination.

Without attentional self-models, organisms may struggle to regulate:

• behavioural focus;
• environmental relevance;
• attentional priorities;
• and flexible cognition.

AST therefore interprets awareness as an adaptive control mechanism rather than a mysterious metaphysical property.

13.13 Social Cognition and Theory of Mind

One of AST’s most distinctive contributions is its connection between:

• self-awareness; and:
• social cognition.

Figure 13.1 Panel E illustrates this relationship.

AST proposes that the same neural systems used to model one’s own attentional state may also support:

• attributing awareness to others;
• theory of mind;
• intentional interpretation;
• social prediction;
• and mental-state attribution.

According to AST:

the brain models minds
using attentional representations.

This helps explain why:

• humans naturally attribute awareness to others;
• social cognition and consciousness may be evolutionarily linked;
• awareness attribution emerges automatically.

AST therefore strongly connects consciousness with:

• social intelligence;
• self-modeling;
• and interpersonal cognition.

13.14 Neural Basis of AST

Research associated with AST often implicates:

• frontal attention systems;
• temporoparietal regions;
• attentional control networks;
• social cognition systems.

Particularly important regions include:

• temporoparietal junction (TPJ);
• superior temporal sulcus (STS);
• frontal-parietal attention systems.

These regions are involved in:

• attentional allocation;
• awareness attribution;
• social cognition;
• self-monitoring;
• attentional control.

AST therefore attempts to ground consciousness within established attentional neuroscience rather than treating awareness as a fundamentally separate phenomenon.

13.15 Clinical Evidence

Clinical disorders provide partial support for AST.

13.16 Hemispatial Neglect

Patients with hemispatial neglect may fail to become aware of stimuli on one side of space despite partially preserved sensory systems.

AST interprets this as evidence that:

• disruptions in attentional modeling may alter:
• conscious awareness itself.

13.17 Attention Disorders

Disorders affecting attentional control may alter:

• subjective awareness;
• self-monitoring;
• attentional regulation;
• and conscious report.

These findings support the idea that awareness and attentional modeling are deeply interconnected.

13.18 Attention Schema Theory and Other Theories

AST overlaps with several other theories of consciousness while remaining conceptually distinct.

Figure 13.1 Panel D compares AST with:

• Higher-Order Thought Theory (HOT);
• Global Workspace Theory (GWT);
• Recurrent Processing Theory (RPT).

13.19 Relation to HOT

Both AST and HOT involve:

• internal representation;
• metacognition;
• and self-modeling.

However:

• HOT emphasizes higher-order thoughts about mental states;
• AST emphasizes simplified models of attentional processes.

13.20 Relation to GWT

Both AST and GWT involve:

• large-scale cognition;
• attentional coordination;
• and information integration.

However:

• GWT emphasizes global broadcasting;
• AST emphasizes attentional self-modeling.

13.21 Relation to RPT

RPT emphasizes:

• recurrent sensory feedback;
• local perceptual loops;
• phenomenal awareness.

AST instead focuses on:

• attentional monitoring;
• self-representation;
• predictive control;
• and awareness attribution.

As illustrated in Figure 13.1 Panel D, these theories may explain partially overlapping but distinct aspects of consciousness.

13.22 Consciousness as a Model-Based Construct

AST proposes an important philosophical shift.

Rather than treating awareness as:

• an irreducible inner essence;
• or a mysterious nonphysical substance,

AST proposes that consciousness reflects:

the brain’s simplified internal model
of attention.

According to this interpretation:

• awareness is representational;
• consciousness is model-based;
• introspective certainty may reflect schematic simplification.

This gives AST a partially deflationary interpretation of consciousness.

However, this also generates major philosophical criticism.

13.23 AST and the Hard Problem

AST has important implications for the hard problem of consciousness.

Some interpretations of AST attempt to partially dissolve aspects of the hard problem by explaining:

• why brains represent themselves as aware;
• why organisms report consciousness;
• why awareness appears unified and internal.

However, many philosophers argue that AST still does not explain:

why awareness feels like anything at all.

Critics argue that AST may explain:

• awareness representation;
• attentional monitoring;
• beliefs about consciousness;
• and self-report

without fully explaining:

• phenomenal feeling;
• qualia;
• or subjective experience itself.

As highlighted conceptually throughout Figure 13.1:

modeling attention
≠
automatic explanation of phenomenology.

This remains one of the central criticisms of AST.

13.24 Attention Without Awareness

Some attentional processes occur unconsciously.

For example:

• subliminal cues may influence attention;
• attentional orienting may occur without reportable awareness;
• automatic attentional capture may remain unconscious.

Critics argue that these cases complicate strong identification between:

• awareness; and:
• attentional modeling.

AST generally responds that:

• awareness depends specifically on modeled attention, not:
• attention itself alone.

13.25 Awareness Without Strong Attention

Meditative and altered states sometimes involve:

• diffuse awareness;
• reduced focused attention;
• altered selfhood;
• open monitoring states.

Critics argue that these conditions challenge strict coupling between:

• attention; and:
• awareness.

This remains an important area of ongoing debate.

13.26 Strengths of Attention Schema Theory

AST possesses several major strengths.

13.26.1 Strong Connection to Attention Research

The theory aligns closely with modern attentional neuroscience.

13.26.2 Elegant Body-Schema Analogy

The body-schema comparison provides a highly intuitive explanatory framework.

13.26.3 Integration of Social Cognition

AST uniquely connects:

• consciousness;
• theory of mind;
• and awareness attribution.

13.26.4 Evolutionary Plausibility

The theory explains why awareness may possess adaptive value.

13.26.5 Computational Intuition

AST naturally integrates with:

• predictive control;
• internal modeling;
• and cognitive regulation.

13.26.6 Explanatory Clarity

AST clearly distinguishes:

• attention; from:
• awareness.

This distinction is conceptually powerful.

13.27 Weaknesses and Criticisms

Despite its strengths, AST faces several important criticisms.

13.28 Does Modeling Attention Produce Experience?

The central criticism asks:

Why should a model of attention generate subjective feeling?

Critics argue that AST may explain why brains claim awareness exists without explaining:

• why awareness feels like anything;
• why phenomenology exists at all.

13.29 Explanatory Gap

AST may still leave the explanatory gap unresolved.

Even if awareness is a model:

• why does the model possess phenomenal character?

13.30 Oversimplification

Critics argue consciousness may involve:

• embodiment;
• emotion;
• memory;
• selfhood;
• affect;
• phenomenology;
• and interoception

beyond attentional modeling alone.

13.31 Neural Specificity

The precise neural implementation of the attention schema remains uncertain.

13.32 Phenomenology Problem

Some critics argue AST explains:

• beliefs about consciousness; more effectively than:
• phenomenal consciousness itself.

13.33 Implications for Artificial Intelligence

AST has major implications for artificial intelligence and machine consciousness.

According to AST, conscious artificial systems may require:

• attentional systems;
• self-modeling architectures;
• awareness representations;
• attentional control loops;
• internal monitoring systems.

This suggests that:

intelligence alone
may not be sufficient for consciousness.

Instead, conscious AI systems may require internal models capable of representing attentional allocation and self-monitoring.

However, AST does not determine whether such systems would possess genuine phenomenal experience.

13.34 Open Questions

Several important unresolved questions remain:

• Why does awareness feel subjective?
• Is attentional modeling sufficient for consciousness?
• Can awareness exist without attention?
• How does selfhood emerge?
• Can artificial systems possess genuine awareness?
• What neural systems implement the attention schema?
• Does AST explain phenomenology or only awareness attribution?

These questions remain central within contemporary consciousness research.

13.35 Comparative Evaluation

Attention Schema Theory remains one of the most conceptually distinctive theories of consciousness because it explains awareness primarily in terms of:

• attentional self-modeling;
• predictive control;
• and internal representation.

As illustrated throughout Figure 13.1, AST sharply distinguishes between:

• attention itself; and:
• awareness as a model of attention.

The theory is especially powerful for explaining:

• awareness attribution;
• attentional monitoring;
• social cognition;
• self-representation;
• and attentional control.

At the same time, whether attentional modeling fully explains:

• phenomenal consciousness;
• qualia;
• and subjective feeling itself

remains deeply contested.

Attention Schema Theory therefore remains both:

• conceptually elegant; and:
• philosophically controversial.

Its influence across attentional neuroscience, self-modeling research, social cognition, and AI consciousness studies has been substantial, yet the relationship between:

attentional modeling
→
subjective experience

remains one of the major unresolved questions in consciousness studies.

References

Graziano, Michael S. A. 2013. Consciousness and the Social Brain. Oxford University Press.