A model of personality should be a cognitive architecture itself

Sun, Ron; Wilson, Nicholas R.

doi:10.1016/j.cogsys.2014.02.001

Cited by 23 publications

(15 citation statements)

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“…A model of personality was also developed on the basis of motivation within Clarion; see, for example, Sun and Wilson [56] (see also [14,28,31,41]). Further, a model of moral judgment was developed on the basis of motivation; see [9,49].…”

Section: Some Examples Of Simulationsmentioning

confidence: 99%

Intrinsic Motivation for Truly Autonomous Agents

Sun

2018

Foundations of Trusted Autonomy

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Section: Some Examples Of Simulationsmentioning

confidence: 99%

Intrinsic Motivation for Truly Autonomous Agents

Sun

2018

Foundations of Trusted Autonomy

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“…In particular, Clarion accounts for basic human motivations that provide the underlying basis for behavior. This emphasis on motivation helps to integrate general cognitive capacities with motivational considerations (as well as personality, emotion, sociality, and culture; Sun & Mathews, ; Sun & Wilson, ; Wilson & Sun, ), which has significant implications for explaining human morality (Sun, ).…”

Section: The Clarion Cognitive Architecturementioning

confidence: 99%

“…However, characterizing implicit moral judgment as the contribution of emotion alone falls short in terms of describing the wider scope of moral psychology. Some implicit intuitions and instincts relevant to morality may not be emotion based (see, e.g., Hélie & Sun, ; Kahane, ; Monroe, ; Sun & Wilson, ). As Monroe () put it, implicit moral processes include “deep‐seated instincts, predispositions, and habitual patterns of behavior,” coming from “genetic predispositions, social roles, or culturally inculcated norms.” Furthermore, although psychopaths possess greatly depressed harm‐aversive affective reactions or feelings of guilt, they show almost normal moral judgment (while acting immorally; Blair, ; Herpertz & Sass, ).…”

Section: Two Models Of Moral Judgment Based On Clarionmentioning

confidence: 99%

“…Note that Model 2 is motivational because it relates moral judgment to essential motivational constructs (e.g., approach‐ vs. avoidance‐oriented motivation). Furthermore, it can relate the motivational interpretation of moral judgment to similar interpretations of other motivational phenomena as well as emotion, personality, and other related aspects (see, e.g., Sun & Wilson, ; Wilson & Sun, ; Wilson et al., ).…”

Section: Simulations Of the Human Data Of Moral Judgmentmentioning

confidence: 99%

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Two Models of Moral Judgment

Bretz

Sun

2017

Cognitive Science

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This paper compares two theories and their two corresponding computational models of human moral judgment. In order to better address psychological realism and generality of theories of moral judgment, more detailed and more psychologically nuanced models are needed. In particular, a motivationally based theory of moral judgment (and its corresponding computational model) is developed in this paper that provides a more accurate account of human moral judgment than an existing emotion-reason conflict theory. Simulations based on the theory capture and explain a range of relevant human data. They account not only for the original data that were used to support the emotion-reason conflict theory, but also for a wider range of data and phenomena.

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“…Besides, the average mean absolute error of multitask regression model was 13.84% which got about 5 percentage points reduction compared to incremental regression. Sun and Wilson [25] demonstrated that, without any significant addition or modification, a cognitive architecture can serve as a generic model of personality traits. Besides, integrating personality modeling with generic computational cognitive modeling was shown to be feasible and useful.…”

Section: Related Workmentioning

confidence: 99%

A Novel Adaptive Conditional Probability-Based Predicting Model for User’s Personality Traits

Wang

Zuo

Wang

2015

Mathematical Problems in Engineering

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With the pervasive increase in social media use, the explosion of users’ generated data provides a potentially very rich source of information, which plays an important role in helping online researchers understand user’s behaviors deeply. Since user’s personality traits are the driving force of user’s behaviors, hence, in this paper, along with social network features, we first extract linguistic features, emotional statistical features, and topic features from user’s Facebook status updates, followed by quantifying importance of features via Kendall correlation coefficient. And then, on the basis of weighted features and dynamic updated thresholds of personality traits, we deploy a novel adaptive conditional probability-based predicting model which considers prior knowledge of correlations between user’s personality traits to predict user’s Big Five personality traits. In the experimental work, we explore the existence of correlations between user’s personality traits which provides a better theoretical support for our proposed method. Moreover, on the same Facebook dataset, compared to other methods, our method can achieve anF1-measure of 80.6% when taking into account correlations between user’s personality traits, and there is an impressive improvement of 5.8% over other approaches.

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A model of personality should be a cognitive architecture itself

Cited by 23 publications

References 29 publications

Intrinsic Motivation for Truly Autonomous Agents

Intrinsic Motivation for Truly Autonomous Agents

Two Models of Moral Judgment

A Novel Adaptive Conditional Probability-Based Predicting Model for User’s Personality Traits

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