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Perception as abduction: turning sensor data into meaningful representation.

Murray Shanahan¹

¹Department of Electrical and Electronic Engineering, Imperial College, London, England.

Cognitive Science

|June 28, 2011

Summary

This study introduces a formal theory of robot perception, framing it as abduction. It unifies key aspects like sensor fusion and attention for creating symbolic world representations from raw data.

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Area of Science:

Robotics
Artificial Intelligence
Philosophy of Mind

Background:

Robot perception involves transforming sensor data into meaningful representations.
Existing theories often address aspects like incompleteness and active perception in isolation.

Purpose of the Study:

To present a formal theory of robot perception.
To unify diverse aspects of perception within a single framework.
To bridge engineering and philosophical perspectives on mental representation.

Main Methods:

Formalizing robot perception as a process of abduction.
Integrating concepts such as incompleteness, top-down information flow, active perception, attention, and sensor fusion.
Developing a unifying theoretical framework.

Main Results:

A formal theory of robot perception based on abduction.
A unified framework encompassing key perceptual processes.
Identification of common themes between robotic perception engineering and philosophy of mind.

Conclusions:

Robot perception can be rigorously modeled as abduction.
The proposed theory offers a unified approach to understanding perception.
The theory has implications for both artificial intelligence and cognitive science.