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IST Contribution

This document discusses the reciprocal relation between anticipation and emotion, providing an overview of emotions in various fields such as philosophy of mind, neurosciences, and psychology. It also presents different architectures and proposals for anticipatory affect systems.

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IST Contribution

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  1. IST Contribution carlos.martinho @ lisbon Mind Races meeting, 26-27 September 2005

  2. D5.1: Emotion and Anticipation in brief • IST scenario: Anticipatory Affect Model • Need for preliminary evaluation: Aini • “Virtual Aibo” implementation so far • Month 13 (D2.2 and D6.1) contribution Outline

  3. D5.1: Anticipation and Emotion • An outline of the reciprocal relation between anticipation and Emotion • Emotion • Overview Emotion in: • Philosophy of Mind: better of not studying emotions due to the qualia/intension dicotomy • Neurosciences: Damasio (Somatic Markers), Ledoux (Cognition/Emotion interaction), Assymetry of Emotions. • Psychology “emotional swamp”: phenomenologist, behavioural, physiological, cognitive, developmental, social and clinical approaches to theorizing Emotion. • Importance of cognition and appraisal in Emotion • Broad definition of Emotion D5.1

  4. D5.1 Emotion (Kleinginna, 1981) • Complex set of interactions among subjective and objective factors, mediated by neural/hormonal systems, which can: • Give rise to affective experiences such as feeling of arousal, pleasure/displeasure (qualia, phenomenologist). • Generate cognitive processes such as emotionally relevant perceptual effects, appraisals, labelling processes (intentional, cognitive). • Actively widespread physiological adjustments to the arousing conditions (physiological). • Lead to behaviour that is often, but not always, expressive, goal-directed and adaptive (intentional, behavioural/developmental/social). D5.1

  5. D5.1: Affective System Architecture • Asynchronous Learning by Emotion and Cognition architecture (Gadanho, 2003) • Tractable Appraisal-Based Architecture for Situated COgnizers (Staller and Petta, 1998) • 3-towers 3-layers Architecture (Sloman, 2001) • Émile system (Gratch, 2000) built on Clark Elliot’s Construal Theory (Elliot, 1992) • Carmen’s Bright IDEAS (Marsella, Johnson and LaBore, 2000) • Mission Rehearsal Exercise [integration] • Fear-Not! (Dias, 2005) D5.1

  6. D5.1: Anticipation • Rosen (1985) seminal work • The need of defining “desirable” and “undesirable” regions • Similarity with emotions • Side effects: system syndromes • No system integrates affect and anticipation D5.1

  7. D5.1: Results from the discussion • Differences between anticipatory and anticipatory affective systems • Blueprint of an anticipatory affective system: the anticipatory continuum • Presentation of the scenarios and their problem focus D5.1

  8. D5.1: Anticipatory Affect Architecture proposals • High-level approach (Castelfranchi & Miceli, 2005) • Aiming at BDI integration • Bidirectional path Anticipation  Emotion in cognitive appraisal: • emotion => antipation: preparatory and premonitory emotions • anticipation => emotion: expectation-based and invalidation-based emotions • Expected pre-felt/non pre-felt emotions • Low-level approach (Martinho & Paiva, 2005) • Aimed at creating believable behaviour (not necessarily “intelligent”) • Emotivector: simple mechanism that uses sensor anticipation to generate basic sensations and attention control that can be use to automatically direct “side-behaviour”. D5.1

  9. Scenario IV takes place in a household environment where Aibo, the synthetic dog, “lives”. As a starting scenario, the environment will be a small warehouse, where several crates lie scattered around, acting as obstacles between Aibo and its targets. Several distracters, will be added to difficult the task and provide with opportunities for Aibo to “play in character” and be evaluated in terms of believability. IST Aibo Scenario

  10. Environment Sensor * Effector * percept Processing Anticipatory Affective Model

  11. Environment Sensor * Effector * Emotivector * percept salience Processing Anticipatory Affective Model

  12. Anticipation is used to generate the salience that is characterized in terms of attention and emotion (9 sensations) potential. searched anticipated sensed Emotion: Positive Reduction time t t +1 Anticipatory Affective Model

  13. Aini: Anticipatory Affect Testbed

  14. Virtual Aibo Toolbox

  15. Create and edit - poses and motions for AIBO ERS-7 • Create Composed Motions – reuse some joints of other motions • Uses pose and motion file formats used by other AIBO editors. • Allows data exchange between applications • Has custom file formats that can be loaded by AIBO Core (developed Library) Virtual Aibo Toolbox

  16. Virtual Aibo in a Domotic Environment

  17. 3D visualization and navigation of a domotic environment using DomoBus protocol. • Configurable: • House layout from file • House scenarios can be scripted • Domotic control through sockets • Allows a real AIBO to control the simulated environment Domotic Environment

  18. D2.2 (month 13) • Scenarios design and implementation: a technical report with a detailed description of the implementations of the scenarios. • Anticipatory affect: From spec in D5.1, specific implementation of Aini. • Aibo simulator and refined scenario: first steps towards the experiment. • Task 6.2 - D6.1 (month 13) • Implementation of preliminary integrated architectures and preliminary test. • Aini architecture and preliminary evaluation. Month 13 IST contribution

  19. Questions?

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