Search results for "cognitive model"
showing 10 items of 35 documents
Patented intelligence: Cloning human decision models for Industry 4.0
2018
Industry 4.0 is a trend related to smart factories, which are cyber-physical spaces populated and controlled by the collective intelligence for the autonomous and highly flexible manufacturing purposes. Artificial Intelligence (AI) embedded into various planning, production, and management processes in Industry 4.0 must take the initiative and responsibility for making necessary real-time decisions in many cases. In this paper, we suggest the Pi-Mind technology as a compromise between completely human-expert-driven decision-making and AI-driven decision-making. Pi-Mind enables capturing, cloning and patenting essential parameters of the decision models from a particular human expert making …
New perspectives on the manipulation of opiate urges and the assessment of cognitive effort associated with opiate urges
2000
Behavioral models of drug urges assume that conditioned urges are strongly associated with drug consumption. An alternative, cognitive model assumes that urges represent the operation of cognitively demanding processes devoted to either supporting or blocking the automatized drug-use behavior. In Study 1, the effect of verbal drug cues and mood induction on self-reported opiate urges were examined. Twenty-four opiate addicts were either instructed to listen to verbal drug cures or neutral cues. Negative mood induction was applied on 12 addicts. Study 2 examined the cognitive processes underlying these urges. In a dual task paradigm, participants responded to a probe stimulus and listened si…
Predicting Physical Activity-Related Outcomes in Overweight and Obese Adults: A Health Action Process Approach.
2016
Background We tested the adequacy of a model based on the Health Action Process Approach (HAPA) in predicting changes in psychological, body composition, and cardiovascular risk outcomes with respect to physical activity participation in overweight and obese adults. Methods Measures of HAPA constructs (action and maintenance self-efficacy, outcome expectancies, action planning, risk perceptions, intentions, behaviour), psychological outcomes (quality of life, depression, anxiety, stress symptoms), body composition variables (body weight, body fat mass), cardiovascular risk measures (total cholesterol, low density lipoprotein), and self-reported physical activity behaviour were administered …
A Cognitive Model of Trust for Biological and Artificial Humanoid Robots
2018
Abstract This paper presents a model of trust for biological and artificial humanoid robots and agents as antecedent condition of interaction. We discuss the cognitive engines of social perception that accounts for the units on which agents operate and the rules they follow when they bestow trust and assess trustworthiness. We propose that this structural information is the domain of the model. The model represents it in terms of modular cognitive structures connected by a parallel architecture. Finally we give a preliminary formalization of the model in the mathematical framework of the I/O automata for future computational and human-humanoid application.
A cognitive architecture for artificial vision
1997
Abstract A new cognitive architecture for artificial vision is proposed. The architecture, aimed at an autonomous intelligent system, is cognitive in the sense that several cognitive hypotheses have been postulated as guidelines for its design. The first one is the existence of a conceptual representation level between the subsymbolic level, that processes sensory data, and the linguistic level, that describes scenes by means of a high level language. The conceptual level plays the role of the interpretation domain for the symbols at the linguistic levels. A second cognitive hypothesis concerns the active role of a focus of attention mechanism in the link between the conceptual and the ling…
What Will You Do Next? A Cognitive Model for Understanding Others’ Intentions Based on Shared Representations
2013
Goal-directed action selection is the problem of what to do next in order to progress towards goal achievement. This problem is computationally more complex in case of joint action settings where two or more agents coordinate their actions in space and time to bring about a common goal: actions performed by one agent influence the action possibilities of the other agents, and ultimately the goal achievement. While humans apparently effortlessly engage in complex joint actions, a number of questions remain to be solved to achieve similar performances in artificial agents: How agents represent and understand actions being performed by others? How this understanding influences the choice of ag…
Contextual neural-network based spectrum prediction for cognitive radio
2015
Cognitive radio is the technique of effective electromagnetic spectrum usage important for future wireless communication including 5G networks. Neural networks are nature-inspired computational models used to solve cognitive radio prediction problems. This paper presents the use of contextual Sigma-if neural network in prediction of channel states for cognitive radio. Our results indicate that Sigma-if neural network confirms better predictions than Multilayer Perceptron (MLP) network and decreases sensing time for the benefit of the increase of the effectiveness of e-m spectrum usage.
Modeling visual sampling on in-car displays: The challenge of predicting safety-critical lapses of control
2015
In this article, we study how drivers interact with in-car interfaces, particularly by focusing on understanding driver in-car glance behavior when multitasking while driving. The work focuses on using an in-car touch screen to find a target item from a large number of unordered visual items spread across multiple screens. We first describe a cognitive model that aims to represent a driver?s visual sampling strategy when interacting with an in-car display. The proposed strategy assumes that drivers are aware of the passage of time during the search task; they try to adjust their glances at the display to a time limit, after which they switch back to the driving task; and they adjust their t…
The Applications of Cognitive Mechanism of Verbal Humour to the Adjustment of Depressive Mood
2018
Aims: To apply the findings of neurolinguistic research to the practical technological artifact design, the cognitive mechanism of verbal humour is comprehensively investigated and designed with EEG-based Brain Computer interfaces and Mobile Health, under the guidance of technology design theory, to help with the adjustment of depressive mood. Application Base: The intervention effect of verbal humour on depressive mood is rooted in their cognitive mechanisms. The right hemisphere of the brain has a dominant effect on both verbal humour and depressive mood; some specific brain regions, such as amygdala, nucleus accumbens, hippocampus etc., are particularly activated during the processing of…
Analysis of the written handover process during shift changes within the hospital
2008
This study assesses the ergonomic quality of a new writing format used for the written transmission of activity during a nurse’s handover in a hospital. This format called “targeted or focussed transmission” comes from a new prescription of hospital management designed to improve the written handover process. Our research focused on the information filtering process for each patient concerned by a shift handover. A three step methodology was designed, with the participation of 9 nurses in charge of 70 patients : (1) nursing work analysis before the handover, (2) oral handover analysis, (3) written handover analysis. Results show that the new writing format does not match the nurses’ needs t…