A Framework for Emergent Emotions, Based on Motivation and Cognitive Modulators

2012 ◽  
Vol 3 (1) ◽  
pp. 43-63 ◽  
Author(s):  
Joscha Bach
Keyword(s):  
Personality Traits ◽  
Cognitive Processing ◽  
Cognitive Architecture ◽  
Functional Realization ◽  
Affective Dynamics ◽  
Emotional Agents

Although traditional appraisal models have been successful tools for describing and formalizing the behavior of emotional agents, they have little to say about the functional realization of affect and emotion within the cognitive processing of these agents. The cognitive architecture MicroPsi addresses emotion and motivation by defining pre-requisites over which affective dynamics and goal-seeking emerge. Here, these pre-requisites are explained in detail, along with a possible approach of using them to model personality traits.

scholarly journals Artificial Minds with Consciousness and Common sense Aspects

2020 ◽  
pp. 1430-1449
Author(s):  
K.R. Shylaja ◽  
M.V. Vijayakumar ◽  
E. Vani Prasad ◽  
Darryl N. Davis
Keyword(s):  
Decision Making ◽  
Energy Level ◽  
Cognitive Processing ◽  
Common Sense ◽  
Cognitive Architecture ◽  
Research Work ◽  
Dynamic Environments ◽  
Consciousness Level ◽  
Common Purpose ◽  
The Common

The research work presented in this article investigates and explains the conceptual mechanisms of consciousness and common-sense thinking of animates. These mechanisms are computationally simulated on artificial agents as strategic rules to analyze and compare the performance of agents in critical and dynamic environments. Awareness and attention to specific parameters that affect the performance of agents specify the consciousness level in agents. Common sense is a set of beliefs that are accepted to be true among a group of agents that are engaged in a common purpose, with or without self-experience. The common sense agents are a kind of conscious agents that are given with few common sense assumptions. The so-created environment has attackers with dependency on agents in the survival-food chain. These attackers create a threat mental state in agents that can affect their conscious and common sense behaviors. The agents are built with a multi-layer cognitive architecture COCOCA (Consciousness and Common sense Cognitive Architecture) with five columns and six layers of cognitive processing of each precept of an agent. The conscious agents self-learn strategies for threat management and energy level maintenance. Experimentation conducted in this research work demonstrates animate-level intelligence in their problem-solving capabilities, decision making and reasoning in critical situations.

Once More with Feeling: Augmenting Recognition Primed Decision Making with Affective Factors

2002 ◽  
Vol 46 (3) ◽  
pp. 303-307 ◽  
Author(s):  
Eva Hudlicka ◽  
Jonathan Pfautz
Keyword(s):  
Decision Making ◽  
Human Factors ◽  
Personality Traits ◽  
Empirical Evidence ◽  
Computational Models ◽  
Cognitive Architecture ◽  
Human Perception ◽  
Cognitive Engineering ◽  
Affective States ◽  
Affective Factors

Although quintessentially human, emotions have, until recently, been largely ignored in the human factors cognitive engineering / decision-making area. This is surprising, as extensive empirical evidence indicates that emotions, and personality traits, influence human perception and decision-making. This is particularly the case in crisis situations, when extreme affective states may arise (e.g., anxiety). The development of more complete and realistic theories of human perception and decision-making, and associated computational models, will require the inclusion of personality and affective considerations. In this paper, we propose an augmented version of the recognition-primed decision-making theory, which takes into consideration trait and state effects on decision-making. We describe a cognitive architecture that implements this theory, and a generic methodology for modeling trait and state effects within this architecture. Following an initial prototype demonstration, the full architecture is currently being implemented in the context of a military peacekeeping scenario.

scholarly journals Folk psychology, eliminativism, and the present state of connectionism

2021 ◽  
Vol 64 (1) ◽  
pp. 173-196
Author(s):  
Vanja Subotic
Keyword(s):  
Cognitive Science ◽  
Cognitive Processing ◽  
Folk Psychology ◽  
Short Term Memory ◽  
Distributed Processing ◽  
Cognitive Architecture ◽  
Propositional Attitudes ◽  
Connectionist Models ◽  
Short Term ◽  
Long Short Term Memory

Three decades ago, William Ramsey, Steven Stich & Joseph Garon put forward an argument in favor of the following conditional: if connectionist models that implement parallelly distributed processing represent faithfully human cognitive processing, eliminativism about propositional attitudes is true. The corollary of their argument (if it proves to be sound) is that there is no place for folk psychology in contemporary cognitive science. This understanding of connectionism as a hypothesis about cognitive architecture compatible with eliminativism is also endorsed by Paul Churchland, a radical opponent of folk psychology and a prominent supporter of eliminative materialism. I aim to examine whether current connectionist models based on long-short term memory (LSTM) neural networks can back up these arguments in favor of eliminativism. Nonetheless, I will rather put my faith in the eliminativism of the limited domain. This position amount to the following claim: even though that connectionist cognitive science has no need whatsoever for folk psychology qua theory, this does not entail illegitimacy of folk psychology per se in other scientific domains, most notably in humanities, but only if one sees folk psychology as mere heuristics.

scholarly journals Do Personality Traits Modulate the Effect of Emotional Visual Stimuli on Auditory Information Processing?

2009 ◽  
Vol 30 (1) ◽  
pp. 28-34 ◽  
Author(s):  
Solange Mardaga ◽  
Michel Hansenne
Keyword(s):  
Information Processing ◽  
Personality Traits ◽  
Cognitive Processing ◽  
Behavioral Activation ◽  
Visual Stimuli ◽  
Normal Subjects ◽  
Auditory Information ◽  
Behavioral Inhibition System ◽  
Personality Dimensions ◽  
Auditory Information Processing

Several lines of evidence attest robust relationships between personality dimensions and emotions, including cognitive aspect of emotion. More particularly, many studies reported strong relationships between extraversion, the behavioral activation system (BAS), and the cognitive processing of positive information, on the one hand, and between neuroticism, the behavioral inhibition system (BIS), and the processing of negative information, on the other hand. Recently, DePascalis, Awari, Matteucci, and Mazzocco (2005 ) reported that personality traits modulated the effect of the emotional visual stimuli on the mismatch negativity (MMN). The aim of the present study was to replicate these data and extend them to other personality dimensions. Auditory MMN was recorded in normal subjects simultaneously to the presentation of emotional pictures selected as neutral, positive, or negative from the International Affective Picture System, and presented in randomized order. The results support the recent finding that personality (namely, BIS and harm avoidance) modulates the influence of emotional (negative) context on auditory information processing. The present findings suggest that the modulation by personality of change detection in the unattended environment as a function of context valence is limited to unpleasant context.

Modeling Interruption and Resumption in a Smartphone Task: An ACT-R Approach

i-com ◽  
2015 ◽  
Vol 14 (2) ◽  
Author(s):  
Maria Wirzberger ◽  
Nele Russwinkel
Keyword(s):  
Cognitive Processing ◽  
Cognitive Modeling ◽  
Cognitive Architecture ◽  
Human Cognition ◽  
Mental Demand ◽  
Model Predictions ◽  
Mental Demands ◽  
Human Participants ◽  
Shed Light ◽  
Respective Number

AbstractThis research aims to inspect human cognition when being interrupted while performing a smartphone task with varying levels of mental demand. Due to its benefits especially in the early stages of interface development, a cognitive modeling approach is used. It applies the cognitive architecture ACT-R to shed light on task-related cognitive processing. The inspected task setting involves a shopping scenario, manipulating interruption via product advertisements and mental demands by the respective number of people shopping is done for. Model predictions are validated through a corresponding experimental setting with 62 human participants. Comparing model and human data in a defined set of performance-related parameters displays mixed results that indicate an acceptable fit – at least in some cases. Potential explanations for the observed differences are discussed at the end.

scholarly journals Artificial Minds with Consciousness and Common sense Aspects

2017 ◽  
Vol 9 (1) ◽  
pp. 20-42 ◽  
Author(s):  
K.R. Shylaja ◽  
M.V. Vijayakumar ◽  
E. Vani Prasad ◽  
Darryl N. Davis
Keyword(s):  
Decision Making ◽  
Cognitive Processing ◽  
Common Sense ◽  
Cognitive Architecture ◽  
Research Work ◽  
Dynamic Environments ◽  
Artificial Agents ◽  
Consciousness Level ◽  
Common Purpose ◽  
The Common

The research work presented in this article investigates and explains the conceptual mechanisms of consciousness and common-sense thinking of animates. These mechanisms are computationally simulated on artificial agents as strategic rules to analyze and compare the performance of agents in critical and dynamic environments. Awareness and attention to specific parameters that affect the performance of agents specify the consciousness level in agents. Common sense is a set of beliefs that are accepted to be true among a group of agents that are engaged in a common purpose, with or without self-experience. The common sense agents are a kind of conscious agents that are given with few common sense assumptions. The so-created environment has attackers with dependency on agents in the survival-food chain. These attackers create a threat mental state in agents that can affect their conscious and common sense behaviors. The agents are built with a multi-layer cognitive architecture COCOCA (Consciousness and Common sense Cognitive Architecture) with five columns and six layers of cognitive processing of each precept of an agent. The conscious agents self-learn strategies for threat management and energy level maintenance. Experimentation conducted in this research work demonstrates animate-level intelligence in their problem-solving capabilities, decision making and reasoning in critical situations.

scholarly journals Machine Learning Models Predicting Daily Affective Dynamics Via Personality and Psychopathology Traits

2020 ◽  
Author(s):  
Nicholas C. Jacobson ◽  
George Price ◽  
Minkeun Song ◽  
Zoe Wortzman ◽  
Nhi D. Nguyen ◽  
...  
Keyword(s):  
Machine Learning ◽  
Personality Traits ◽  
Control Beliefs ◽  
Interpersonal Circumplex ◽  
Big Five Personality ◽  
Learning Models ◽  
Emotional Instability ◽  
Daily Diary Study ◽  
Affective Dynamics ◽  
Machine Learning Models

To date, numerous studies have examined personality and psychopathology indexes as predictors of affective dynamics, i.e. measures of how emotions change across time. Yet, little research has examined individual differences in personality, pathology, and affective dynamics constructs comprehensively, accounted for non-linear relationships, or examined the out-of-sample generalizations of the predictions. To address these gaps, the current research utilized machine learning models to predict affective dynamics. A large variety of baseline personality and psychopathology traits (pathological personality measures, clinical anxiety, depression, anger, sleep, affective instability scales, the big five personality traits, interpersonal circumplex measures, and control beliefs) were used to predict the affective dynamics derived from person-specific modeling of affect across a 50-day daily diary study. The results showed that baseline personality traits significantly predicted the strength of day-to-day affective dynamics for emotional variability, relative emotional variability, emotional instability, emotional inertia, and emotional cyclicality for both positive and negative affect (rs 0.152-0.444). Although broadly neglected in prior research, the results suggested that interpersonal circumplex measures most strongly predicted a number of affective dynamics.

scholarly journals Investigation of the Interactive Positive Processes of Couples with Different Characteristics: A Qualitative Study

2016 ◽  
Vol 10 (7) ◽  
pp. 49
Author(s):  
Zahra Chabokinejad ◽  
Ozra Etemadi ◽  
Fatemeh Bahrami ◽  
Maryam Fatehizadeh
Keyword(s):  
Personality Traits ◽  
Cognitive Processing ◽  
Financial Management ◽  
Couples Therapy ◽  
Qualitative Content Analysis ◽  
Structured Interviews ◽  
Managerial Skills ◽  
Data Saturation ◽  
Processing Control ◽  
Yazd City

<p>Interactive processes encompass all those aspects of interpersonal and intrapersonal processes that affect the communication loop of couples. This study aims to test positive interactive processes among couples with different personality traits. In order to collect data, twenty psychotherapists specializing in couples’ therapy and forty eight couples of different personality traits referred to counseling centers of Yazd city were selected (using purposeful sampling). Semi-structured interviews were conducted and the procedure continued up to data saturation. Additionally, books, articles and Internet sites were additionally used for data collection. The research method of qualitative content analysis was conducted.  positive test results obtained from the interactive processes between couples with different personality traits can be categorized into the open-ended codes of (levels of give and take, emotional control, Improve cognition, cognitive processing control, Efficient behaviors, planning, accountability, financial management and household) along with the four major codes of “cognitive, emotional, behavioral, and managerial” skills. Differences in personality traits can be traced to all mental, behavioral and functional dimensions of couples and can also influence the total level of communication between the couples. Therefore, taking these differences into account and learning how to manage them can reduce conflicts over such differences.</p>

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