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The Grounding Problem of Modeling Emotions in Adaptive Artifacts

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Title: The Grounding Problem of Modeling Emotions in Adaptive Artifacts


1
The Grounding Problem of Modeling Emotions in
Adaptive Artifacts
  • Thomas Wehrle
  • GIL,University of Geneva,Switzerland
  • by
  • Onur Ozyer
  • oozyer_at_cs.ucf.edu

2
Motivation
  • Emotions are important for mammals to
  • reach the multiple goals with limited resources.
  • Intelligent agents need emotions to be
  • embedded in for this reason. But both AI and
  • synthetic emotions have difficulty to describe
  • their counterpart. This is because of the
  • misconceptions in the field and multiplicity
  • of the phenomena.

3
Overview
  • A- Motives for emotional agents.
  • B- Description of two design approaches for
    emotion
  • modeling, and their relations with motives.
  • C- Adaptation in affective systems and grounding
  • emotions.

4
Motives
  • Science Learn much of the emotions and an their
  • mechanisms by building a model of a theory with
    agents, and
  • compare the results with the predictions.
  • Engineering Design and implement useful
    artifacts for concrete
  • tasks with a good performance value.
  • Human Computer Interaction Build systems with
    better HCI
  • in terms of usability, performance and
    acceptability.

5
Modeling Approaches
  • a) Black Box Modeling Gives output similar to
    naturally
  • occurring systems with out taking the underlying
    processes into
  • consideration. These models focus on input-output
    relationship and
  • they are practical for decision-making.
  • b) Process Modeling Simulates the underlying
    mechanisms
  • generating the emotions in a degree. Effects of
    inputs on the sub-
  • mechanisms and inter-relations between these
    mechanisms should
  • be well known.

6
Appraisal Theories
  • Appraisal Theory Elicitation of an emotion
    process and its
  • differentiation into different categorization
  • a) Componential Approach
  • 1) Emotions are elicited by a cognitive
    evaluation of antecedent
  • events.
  • 2) Patterning of reactions are shaped by this
    appraisal process.
  • Appraisal dimensions are used to evaluate
    stimulus, in an adaptive
  • way to the changes.
  • Appraisal Dimensions Evaluation of significance
    of event, coping
  • potential, and compatibility with the social
    norms.

7
Appraisal Theories
  • b) Component Process Model Has less evaluation
    criteria and they
  • are processes sequentially. Stimulus evaluation
    check (SEC) is built
  • on this idea. In emotional states, the
    components of the
  • emotion synchronize their functioning
    temporarily, then stimulus is
  • evaluated in the system, then control is returned
    to independent
  • sub-systems. During evaluation, all systems are
    highly related and
  • multi feedback and multi feedforward operations
    occur.

8
Adaptation
  • Emotions must be adaptive since they are results
    of interaction
  • and synchronization of complex subsystems, as a
    response to
  • changes in inner and external states. Individual
    adaptability can be
  • implemented in three levels,
  • a) Level of single values, changing the
    parameters of the
  • stimulus evaluation systems.
  • b) Level of emotion specific value patterns,
    change in the
  • significance of different appraisal systems.
  • c) Level of action readiness, modification action
    repertory to an
  • emotional state.

9
Conclusion
  • There are different underlying mechanisms of the
    emotions, the
  • question is to what extent the complexity of
    these mechanisms
  • should be abstracted, or put into the black box.
    Grounding
  • emotions examines this abstraction.
  • Introduce a value system to the robot, allow the
    robot establish its own emotional categorization.
    These categories can be different than our
    emotions.
  • Put human emotions categories into agents. But we
    cant ground them properties, tasks and
    environment of agent is different.
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