Personality, Emotions and Physiology in a BDI Agent Architecture: The PEP -&amp;#x226B; BDI Model

Jones, Hazaël; Lourdeaux, Domitile

doi:10.1109/wi-iat.2009.160

Cited by 17 publications

(19 citation statements)

References 7 publications

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“…The most recent emotional BDI architecture is that of Jones et al [9], called PEP-BDI. The authors criticize Jiang et al [8] for missing personality and physiology aspects and Parunak et al [7] for modeling only two emotions in relation with two personality aspects.…”

Section: Personalitymentioning

confidence: 99%

“…[6], [7], [10] and [11] don't take into consideration communication, but use one belief revision function that includes both new percepts and current beliefs. The same goes with [9], but percepts can be obtained through stimuli, messages and physiological parameters (which define the agent's health).…”

Section: Personalitymentioning

confidence: 99%

Section: Personalitymentioning

confidence: 99%

“…[6], [8] and [9] consider desires as options that need to be constantly generated based on current desires and beliefs. In [8] and [9], deliberation process is formed by the options function (generating desires) and the filter function (generating intentions); the means-end reasoning is done by the plan function, which structures intentions into plans. In [6] on the other hand, the first process that occurs is generate options, which maps to means-end reasoning; this generates desires and intentions that hierarchically flow from abstract to concrete, until executable actions are obtained.…”

Section: Personalitymentioning

confidence: 99%

“…The commitment strategy is yet less discussed, although the tradeoff between reconsideration and the degree of commitment is an important aspect of practical reasoning. From the agent control loops presented it can be inferred that [11] uses an open-minded strategy (the agent is committed to an intention as long as it is still believed possible), while [6], [8] and [9] use a single-minded strategy (the agent is committed to an intention until it is either realized or not possible).…”

Section: Personalitymentioning

confidence: 99%

See 4 more Smart Citations

Emotional Belief-Desire-Intention Agent Model: Previous Work And Proposed Architecture

Puica¹,

Florea²

2013

IJARAI

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Abstract-Research in affective computing shows that agents cannot be truly intelligent, nor believable or realistic without emotions. In this paper, we present a model of emotional agents that is based on a BDI architecture. We show how we can integrate emotions, resources and personality features into an artificial intelligent agent so as to obtain a human-like behavior of this agent. We place our work in the general context of existing research in emotional agents, with emphasis on BDI emotional models.

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Section: Personalitymentioning

confidence: 99%

Section: Personalitymentioning

confidence: 99%

Section: Personalitymentioning

confidence: 99%

Section: Personalitymentioning

confidence: 99%

Section: Personalitymentioning

confidence: 99%

See 3 more Smart Citations

Emotional Belief-Desire-Intention Agent Model: Previous Work And Proposed Architecture

Puica¹,

Florea²

2013

IJARAI

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Multi-Agent Systems and Business Process Management

Sulis,

Taveter

2022

Agent-Based Business Process Simulation

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Agent-Based Modeling and Simulation of the Emotional and Behavioral Dynamics of Human Civilians during Emergency Situations

Belhaj

Kebair

Saïd

2014

Multiagent System Technologies

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Abstract. Agent based social simulations are becoming prevailing tools in the context of human behavior studies. Researchers in psychology, cognitive science and neuroscience have proved the prominent role of emotion on cognition and behavior. Particularly, during emergency situations, human emotional dynamics have a major effect on behavior. In this context, we aim to study the role of emotions in reproducing human-like emotional civilian agents. The objective of the current research work is to model and to simulate human emotional dynamics and their effect on the behaviors of civilians in emergencies. In this article, we describe an emotional agent model that integrates a computational model of emotions. Agent perceptions are subject to a cognitive appraisal process to generate agent emotions. These have an effect on the generation of agent behavior.Keywords: Emotional dynamics, Appraisal, Emergencies, Human behavior. IntroductionImplementing human characteristics into artificial systems is a key and a multidisciplinary challenge. This implementation aims at building agents with believable and realistic behaviors. Different factors are modeled in human behaviors simulations. These include physical and physiological factors, cognition, emotions, personality traits, social relations among others. The interplay of emotion and cognition is particularly important in the study of human behaviors, particularly during emergency situations. In fact, emotions are important regulator factors of human behaviors, mainly to respond to highly emotive events such as those happening in emergency situations. Thus, humans that experience heightened emotional states can have unexpected behaviors [1]. Therefore, emotions are necessary to produce realistic social simulations in emergencies. These situations are characterized by their dynamicity and complexity. Hence, modeling human-like agents in such situations requires the integration of emotion modeling. In fact, emotions represent important adaptation mechanisms to changes that may occur in the agent environment.

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Personality, Emotions and Physiology in a BDI Agent Architecture: The PEP -≫ BDI Model

Cited by 17 publications

References 7 publications

Emotional Belief-Desire-Intention Agent Model: Previous Work And Proposed Architecture

Emotional Belief-Desire-Intention Agent Model: Previous Work And Proposed Architecture

Multi-Agent Systems and Business Process Management

Agent-Based Modeling and Simulation of the Emotional and Behavioral Dynamics of Human Civilians during Emergency Situations

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