Explaining emotions

O'Rorke, Paul

doi:10.1016/0364-0213(94)90003-5

Cited by 8 publications

(7 citation statements)

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“…This section describes how emotional states can be deduced from the information captured in the previous sections based on the work of [5]. We only consider a subset of the OCC [6] cognitive appraisal theory of emotion: hope, satisfied, fear, fears-confirmed, disappointment, and reproach.…”

Section: Emotion Generationmentioning

confidence: 99%

AI 2004: Advances in Artificial Intelligence

Webb¹,

Yu²

2005

Lecture Notes in Computer Science

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Abstract. This paper investigates how we can precisely define what process designers are ought achieve for what they have promised and more importantly in a way that satisfies human users. Toward these goals, an interaction model for processes and an Affect Monitoring Framework (AMF) are proposed based on our analysis on speech act theory and cognitive-based emotion models. The Affect Monitoring Framework is to detect and predict negative affects on users and to resolve caused or predicted causes of negative affects automatically.

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Section: Emotion Generationmentioning

confidence: 99%

AI 2004: Advances in Artificial Intelligence

Webb¹,

Yu²

2005

Lecture Notes in Computer Science

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“…[19] lists the variables affecting anger: the degree of judged blameworthiness, the degree of deviation from personal or role-based expectations, and the degree to which the event is undesirable. We have already seen how emotions influence decision making ( fig.…”

Section: Affective Reasoningmentioning

confidence: 99%

“…Now we see what influences emotions. [19] tells us that "emotions are dependent on beliefs," and that "emotions are positively or negatively valenced reactions." Notice that all those prototypical variables above are cognitive assessments, evaluations about the reciprocal influences between the event and the agent's informational and pro-active states.…”

Section: Affective Reasoningmentioning

confidence: 99%

Redesigning the Agents’ Decision Machinery

Antunes

Coelho

2000

Affective Interactions

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Abstract. In a multi-agent system, agents must decide what to do and by what order. Autonomy is a key notion in such a system, since it is mainly the autonomy of the agents that makes the environment unpredictable and complex. From a user standpoint, autonomy is equally important as an ingredient that has to be used with parsimony: too much leads to agents fulfilling their own goals instead of those of the user, too little renders agents that are too dependent upon user commands and choices for their execution. Autonomy has a role in deciding which are the new goals of the agent, and it has another in choosing which of the agent's goals are going to be addressed next. We have proposed the BVG (Beliefs, Values, Goals) architecture with the idea of making decisions using multiple evaluations of a situation, taking the notion of value as central in the motivational mechanisms in the agent's mind. The agent will consider the several evaluations and decide in accordance with its goals in a rational fashion. In this paper we extend this architecture in three different directions: we consider the source of agent's goals, we enhance the decisional mechanisms to consider a wider range of situations, and we introduce emotion as a meta-level control mechanism of the decision processes.

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“…Research in psychology has tried to structure prototypical emotional feelings into discrete basic categories [8][9]. Because emotions are complex, divers and with multiple facets there are different ways to construct these basic categories.…”

Section: Concepts Of Emotions: the State Of Artmentioning

confidence: 99%

Emotions as a Communication Medium between the Unconscious and the Conscious

Rauterberg

2010

IFIP Advances in Information and Communication Technology

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Abstract.Emotions are conceptualized and framed as a separate entity in human's cognitive architecture. In this paper I present the different idea that emotions are the form in which the result from a high dimensional optimization process happening in the unconscious is communicated to the low dimensional conscious. Instead of framing emotions as a separate sub component of our cognitive system, I argue for emotions as the main characteristic of the communication between the unconscious and the conscious. Based on this holistic view I recommend a different design and architecture for entertainment robots and other entertainment products with 'emotional' behavior. Intuition is the powerful information processing function of the unconscious while emotion is the result of this process communicated to the conscious. Emotions are the perception of the mapping from the high dimensional problem solving space of the unconscious to the low dimensional space of the conscious.

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Explaining emotions

Cited by 8 publications

References 0 publications

AI 2004: Advances in Artificial Intelligence

AI 2004: Advances in Artificial Intelligence

Redesigning the Agents’ Decision Machinery

Emotions as a Communication Medium between the Unconscious and the Conscious

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