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Related Experiment Videos

A functional approach to emotion in autonomous systems.

Ricardo Sanz¹, Carlos Hernández, Jaime Gómez

¹Autonomous Systems Laboratory (ASLab-UPM), Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28045, Madrid, Spain. ricardo.sanz@upm.es

Advances in Experimental Medicine and Biology

|December 19, 2009

Summary

Artificial systems can achieve robust autonomy by mimicking biological emotions. This research explores emotion theories and proposes an engineering approach for self-managing technology in uncertain environments.

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Area of Science:

Artificial Intelligence
Cognitive Science
Robotics

Background:

Effective systems require goal-centric self-evaluation for teleological self-management.
Biological emotions offer a functional model for self-management in dynamic environments.
Current interest in artificial emotions often focuses on superficial human-like displays, neglecting core functionality.

Purpose of the Study:

To analyze scientific theories of emotion.
To propose an engineering approach for developing robust autonomy in artificial systems.
To implement emotion-inspired functionality for self-management in uncertain environments.

Main Methods:

Analysis of scientific theories of emotion.
Development of an engineering framework for artificial emotion functionality.
Implementation of goal-centric self-evaluation mechanisms.

Main Results:

Identification of key functional aspects of biological emotions relevant to autonomy.
A proposed engineering approach for integrating emotion-inspired self-management.
Demonstration of potential for enhanced system robustness in uncertain conditions.

Conclusions:

Mimicking the functional aspects of biological emotions is crucial for achieving robust autonomy in artificial systems.
An engineering approach inspired by emotion can enable teleological self-management.
Future artificial systems can benefit from emotion-inspired functionalities for sustained operation in complex environments.