Architectures for Modeling Emotion:
Cross-Disciplinary Foundations

American Association for Artificial Intelligence ( AAAI )

2004 Spring Symposium Series

Stanford University, Palo Alto, California, March 22-24, 2004

The question is not whether intelligent machines can have emotions, but whether machines can be intelligent without any emotions.

Marvin Minsky, The Society of Mind


This page last modified: March 18, 2004


Recent years have witnessed increased interest in modeling emotion within cognitive and behavior-based (software and robotic) agent architectures and cognitive models of human behavior. This interest results in part from advances in agent technology, cognitive neuroscience and emotion research that make such models possible, and in part from maturing applications that require, or benefit from, the inclusion of different emotion-related aspects (e.g., adaptive human-computer interfaces, social and expressive robots, autonomous agents, decision support systems, etc).

This surge of interest has led to a number of emotion-based architectures and applications. However, this work is often carried in an 'ad hoc' manner since, due to the short history of the field and the lack of appropriate frameworks for common reflection, there is a still very limited understanding of the mechanisms underlying such architectures, and of standards for a sound validation practice. Researchers in this area increasingly perceive the need to move in this direction to make work in the field progress beyond mere engineering applications and towards a more scientific discipline. The aim of the proposed symposium is to take a step in this direction.

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Symposium Objectives

The objective of this symposium will be to provide a forum focusing on mechanisms underlying agent architectures that include or emphasize emotion. In particular, we will solicit review and state-of-the-art contributions and will focus on two aspects not contemplated in previous symposia and workshops: validation of emotion models and architectures , and relevance of recent findings from affective neuroscience research, in addition to existing research in psychology. Specifically, we wish to explore the ways in which neuroscience and psychology results can motivate and inform the design of emotion models and architectures, constrain specific mechanisms and processes within these models, serve as a source of data for model and architecture validation, and benefit from the feedback provided by computational models and tools. To this end, we propose to bring together researchers from a variety of backgrounds, in particular: computer science, artificial intelligence, robotics, neuroscience, cognitive science, and psychology. More precisely, symposium objectives include:

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Specific Topics and 'Core Issues'

Some of the specific research questions and topics we propose to address include the following:

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Symposium Format

To support the objectives listed above, we propose a focused and highly interactive symposium. Rather than a standard symposium format, consisting of large numbers of short presentations and one or two keynote addresses, the symposium will be organized around a series of:

Working groups, panels and keynote talks will each address a subset of the core questions of interest to the symposium. The questions will be prepared by the chairs and organizing committee (taking into account relevant feedback from the participants) and distributed beforehand. Speakers, working groups and panelists will thus be asked to focus on particular issues, while general discussion sessions will have a more informal nature. In addition, poster or demo sessions (about two) will be held to allow participants to present their work, paying particular attention to how this work addresses issues discussed at the symposium.

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Information for participants

Confirmed Keynote Speakers:

List of accepted papers:

List available as PDF file

Symposium Schedule:

Updated schedule (version of March 18)


Registration brochures are available from the AAAI web site.

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Important Dates

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Organizing Committee

Eva Hudlicka (Chair), Psychometrix Associates, USA.
Lola Cañamero (Chair), University of Hertfordshire, UK.
Cynthia Breazeal, MIT, USA
Jean-Marc Fellous, The Salk Institute, USA
Joseph LeDoux, NYU, USA
Jonathan Gratch, USC, ICT, USA
Christine Lisetti, University of Central Florida, USA
Gerry Matthews, University of Cincinnati, USA
Paolo Petta, ÖFAI, Austria
Fiorella de Rosis, University of Bari, Italy
Craig Smith, Vanderbilt University, USA

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