Unified framework for representation use and usability across philosophy, neuroscience, cognitive science, and computer science. Analyzes when and how representations are used effectively in different systems. Trigger words: representation usability, representation use, philosophical representation, cognitive representation, AI representation theory.
Scanned 9/11/2026
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---
name: representation-use-usability-framework
description: Unified framework for representation use and usability across philosophy, neuroscience, cognitive science, and computer science. Analyzes when and how representations are used effectively in different systems. Trigger words: representation usability, representation use, philosophical representation, cognitive representation, AI representation theory.
version: 1.0.0
author: Research Synthesis
license: MIT
metadata:
hermes:
source_paper: "Use and usability: concepts of representation in philosophy, neuroscience, cognitive science, and computer science (arXiv:2604.13829)"
citations: 0
published: "2026-04-15"
tags: [representation, philosophy, cognitive-science, neuroscience, AI-theory, usability]
---
# Representation Use and Usability Framework
## Overview
A unified framework for analyzing representation use and usability across philosophy, neuroscience, cognitive science, and computer science. Provides criteria for evaluating when representations are effectively used in biological and artificial systems.
## Core Framework
- **Use conditions**: When a system actively employs a representation
- **Usability criteria**: How effectively representations can be accessed and utilized
- **Cross-domain analysis**: Comparison across biological and artificial systems
## Analysis Methods
```python
class RepresentationAnalyzer:
def assess_use(self, system, representation):
return {
'causal_involvement': check_causal_role(system, representation),
'functional_necessity': check_necessity(system, representation),
'accessibility': check_access_patterns(system, representation)
}
def assess_usability(self, representation, user_system):
return {
'interpretability': measure_interpretability(representation),
'computational_cost': measure_cost(representation),
'generalization': measure_generalization(representation)
}
```
## Applications
- AI interpretability
- Cognitive model validation
- Neural representation analysis
- System design evaluation
## Activation Keywords
representation usability, representation use, philosophical representation, cognitive representation, AI representation theory
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