scholarly journals A lane-changing behavioral preferences learning agent with its applications

2015 ◽  
Vol 12 (2) ◽  
pp. 349-374
Author(s):  
Wang Jian ◽  
Cai Baigen ◽  
Liu Jiang ◽  
Shangguan Wei
Keyword(s):  
Learning Strategies ◽  
Bdi Agents ◽  
Lane Changing ◽  
Learning Agent ◽  
Bdi Agent ◽  
Behavioral Preferences ◽  
On Line ◽  
Definition Of ◽  
On Line Learning ◽  
Real Time Optimization

Traditional lane-changing (LC) behavioral researches usually focus on the driver?s cognitive performance which includes the driver?s psychological and behavioral habit characteristics, rarely involving the affection of expert driver?s comprehensive behavioral preferences, such as: safety and comfort performance in LC process. Towards the free LC process, a novel LC safety and comfort degree index is proposed in this paper, as well as, the novel definition of LC driving behavioral preferences is described in detail. Taking advantage of interactive evolutionary computing (IEC) and real-time optimization (RTO) metrics, a kind of LC behavioral preferences on-line learning agent extending traditional Belief-Desire-Intention (BDI) structure is explicitly proposed, which can perform behavioral preferences learning activities in the LC process. In addition, driving behavioral preferences learning strategies are introduced which can gradually grasp essentials in driver?s subjective judgments in decision-making of the LC process and make the LC process more safety and scientific. Specifically, a conceptual model of the agent, driving behavioral preferences learning-BDI (DpL-BDI) agent is introduced, along with corresponding functional modules to grasp driving behavioral preferences. Furthermore, colored Petri nets are used to realize the components and scheduler of the DpL-BDI agents. In the end, to compare with the traditional LC parameters? learning methods (such as: the least squares methods and Genetic Algorithms), a kind of LC problems is suggested to case studies, testing and verifying the validity of the contribution.

scholarly journals An evaluation of environmental constraints for biologically constrained development of gaze control on an iCub robot

2012 ◽  
Vol 3 (3) ◽  
Author(s):  
Patricia Shaw ◽  
James Law ◽  
Mark Lee
Keyword(s):  
Learning Strategies ◽  
Humanoid Robots ◽  
Sensorimotor Learning ◽  
Environmental Constraints ◽  
Gaze Control ◽  
Developmental Learning ◽  
On Line ◽  
Sensorimotor Systems ◽  
On Line Learning ◽  
The Impact

AbstractGaze control requires the coordination of movements of both eyes and head to fixate on a target. Using our biologically constrained architecture for gaze control we show how the relationships between the coupled sensorimotor systems can be learnt autonomously from scratch, allowing for adaptation as the system grows or changes. Infant studies suggest developmental learning strategies, which can be applied to sensorimotor learning in humanoid robots. We examine environmental constraints for the learning of eye and head coupled mappings, and give results from implementations on an iCub robot. The results show the impact of these constraints and how they can be overcome to benefit the development of fast, cumulative, on-line learning of coupled sensorimotor systems.

scholarly journals A Model for On-Line Learning Networks in Engineering Education

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
J. R. Bourne ◽  
A. J. Brodersen ◽  
J. O. Campbell ◽  
M. M. Dawant ◽  
R. G. Shiavi
Keyword(s):  
Online Learning ◽  
Engineering Education ◽  
Learning Strategies ◽  
World Wide ◽  
Traditional Learning ◽  
First Year ◽  
Learning Networks ◽  
Computer Mediated ◽  
On Line ◽  
On Line Learning

This paper describes a model for implementing online learning in engineering education. Relationships between traditional learning strategies and network-enabled engineering education are discussed. The model proposed is based on a World Wide Web implementation that includes presentation materials, online conferencing, demonstrations, and interactive capabilities that permit computer-mediated question and answer sessions. An example of a course implemented using these techniques for a first year engineering course is given. Guidance for engineering educators who wish to implement components of the model is provided.

scholarly journals Agile Entrepreneurship Innovation in Fashion Design Thinking During COVID-19 and Beyond: Reimagine Education to Create Skills for Fashion Business

2021 ◽  
Vol 13 (8) ◽  
pp. 1
Author(s):  
Vasiliki A. Basdekidou
Keyword(s):  
Quantitative Data ◽  
Design Thinking ◽  
University Education ◽  
Fashion Design ◽  
Structured Interviews ◽  
Work From Home ◽  
On Line ◽  
Green Entrepreneurship ◽  
Definition Of ◽  
On Line Learning

Purpose: The COVID-19 crisis had a severe impact on University education (on-line learning, off-campus examinations). In addition, the COVID-19 pandemic raises questions about the quality of education and training in a number of disciplines, like fashion design, where social entrepreneurship opportunities and in-situ functionalities are essential for a quality curriculum. Hence, to remain relevant and innovative, fashion design thinking will need to reimagine education in order to create skills for e-entrepreneurship and prepare fashion entrepreneurs for e-business. Therefore, new concepts for fashion design thinking for innovation and e-entrepreneurship have to introduce in an e-classrooms curriculum. Methodology: This study employed the use of questionnaires to collect quantitative data and structured interviews to compile qualitative data (opinions) of two main groups of fashion design professionals: (a) clothing merchants and manufacturers, (b) fashion design green entrepreneurs. In particular, linear regression used to analyze the quantitative data (SPSS functionality) and data analytics software (QSR NVivo) adopted to encode the answers from the interviews. Findings: Findings obtained in this study show that –with the admission of agile entrepreneurship superiority and functional solution in crises like COVID-19- the green entrepreneurs are better positioning are better prepared to withstand the current COVID-19 or future crisis. Hence the requirement to integrate green entrepreneurship courses into the fashion d esign curriculum will be proposed to create innovation and value in fashion design thinking. Originality and value: This study inserts itself in a multidisciplinary field, mainly composed of four disciplinary areas: “fashion design thinking and education”, “digital transformation”, ”green entrepreneurship”, and “work-from-home entrepreneurship”. The introduction of the new term “Agile entrepreneurship” as a new disciplinary concept in fashion design curriculum is also crucial.  Research limitations: The main limitation of this study is related to the definition of “Agile entrepreneurship” itself in COVID-19 and beyond work-from-home era, as bibliography still diverges on this subject.

Patterns of Implicit Learning Below the Level of Conscious Knowledge

2010 ◽  
Vol 24 (2) ◽  
pp. 91-101 ◽  
Author(s):  
Juliana Yordanova ◽  
Rolf Verleger ◽  
Ullrich Wagner ◽  
Vasil Kolev
Keyword(s):  
Implicit Learning ◽  
Explicit Knowledge ◽  
Implicit Knowledge ◽  
Knowledge Generation ◽  
Sleep Stages ◽  
Implicit Processing ◽  
Implicit Processes ◽  
Late Night ◽  
On Line ◽  
On Line Learning

The objective of the present study was to evaluate patterns of implicit processing in a task where the acquisition of explicit and implicit knowledge occurs simultaneously. The number reduction task (NRT) was used as having two levels of organization, overt and covert, where the covert level of processing is associated with implicit associative and implicit procedural learning. One aim was to compare these two types of implicit processes in the NRT when sleep was or was not introduced between initial formation of task representations and subsequent NRT processing. To assess the effects of different sleep stages, two sleep groups (early- and late-night groups) were used where initial training of the task was separated from subsequent retest by 3 h full of predominantly slow wave sleep (SWS) or rapid eye movement (REM) sleep. In two no-sleep groups, no interval was introduced between initial and subsequent NRT performance. A second aim was to evaluate the interaction between procedural and associative implicit learning in the NRT. Implicit associative learning was measured by the difference between the speed of responses that could or could not be predicted by the covert abstract regularity of the task. Implicit procedural on-line learning was measured by the practice-based increased speed of performance with time on task. Major results indicated that late-night sleep produced a substantial facilitation of implicit associations without modifying individual ability for explicit knowledge generation or for procedural on-line learning. This was evidenced by the higher rate of subjects who gained implicit knowledge of abstract task structure in the late-night group relative to the early-night and no-sleep groups. Independently of sleep, gain of implicit associative knowledge was accompanied by a relative slowing of responses to unpredictable items suggesting reciprocal interactions between associative and motor procedural processes within the implicit system. These observations provide evidence for the separability and interactions of different patterns of processing within implicit memory.

SCROLLA — On-Line Learning and Assessment

2001 ◽  
Vol 1 (2) ◽  
pp. 27-27
Author(s):  
Cliff Beevers
Keyword(s):  
On Line ◽  
On Line Learning
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