Affect and Affordance: Architectures without Emotion

Darryl N. Davis and Suzanne C. Lewis

General frameworks of mind map across tasks and domains. By what means can a general architecture know when it has adapted to a specific task and/or environment? Our current work on this theme presents an affect and affordance based core for mind. This draws on evidence from neuroscience, philosophy and psychology. However we differentiate between the mechanisms and processes thought to be allied to cognition and intelligent behavior in biological architectures and the foundational requirements necessary for similarly intelligent behavior or cognitive-like processes to exist in synthetic architectures. Work on emotion is a morass of definitions and competing theories. We suggest that we should not further this confused framework with further models of emotion for artificial systems. Rather we should look to foundational requirements for intelligent systems, and ask do we require emotions in machines or an alternative equivalent of use in control and self-regulation?

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