Search results for "Task"

Corrigendum to “Is the go/no-go lexical decision task preferable to the yes/no task with developing readers?” [J. Exp. Child Psychol. 110 (2011) 125–…

2013

Understanding and Integrating Multiple Science Texts: Summary Tasks are Sometimes Better Than Argument Tasks

2010

One of the major challenges of a knowledge society is that students as well as other citizens must learn to understand and integrate information from multiple textual sources. Still, task and reader characteristics that may facilitate or constrain such intertextual processes are not well understood by researchers. In this study, we compare the effects of summary and argument essay tasks when undergraduates read seven different texts on a particular scientific topic, finding that an instruction to write summaries may lead to better understanding and integration than an instruction to write argument essays. We discuss several possible explanations for this result. We also found that beliefs a…

Smart Phone, Smart Science: How the Use of Smartphones Can Revolutionize Research in Cognitive Science

2011

WOS:000295936900019; International audience; Investigating human cognitive faculties such as language, attention, and memory most often relies on testing small and homogeneous groups of volunteers coming to research facilities where they are asked to participate in behavioral experiments. We show that this limitation and sampling bias can be overcome by using smartphone technology to collect data in cognitive science experiments from thousands of subjects from all over the world. This mass coordinated use of smartphones creates a novel and powerful scientific "instrument" that yields the data necessary to test universal theories of cognition. This increase in power represents a potential re…

Studying Musical Savants: A Commentary on Grundy and Ockelford (2014)

2014

On the basis of the ‘zygonic’ theory (Ockelford, 2006), Grundy and Ockelford (2014) investigate musical expectations evoked during the course of hearing a piece for the first time in a prodigious musical savant (Derek Paravicini). Overall, the results provided by Derek support the principles of the zygonic theory, especially that the higher the implication factor of a note, the more likely Derek would predict its occurrence. My commentary first raises the question of the use of such special individuals as musical savants to generalize findings to the general population, and second I will address the issue of the task and the stimuli used.

A Functional Near-Infrared Spectroscopy Examination of the Neural Correlates of Cognitive Shifting in Dimensional Change Card Sort Task

2020

This study aims to examine the neural correlates of cognitive shifting during the Dimensional Change Card Sort Task (DCCS) task with functional near-infrared spectroscopy. Altogether 49 children completed the DCCS tasks, and 25 children (Mage = 68.66, SD = 5.3) passing all items were classified into the Switch group. Twenty children (Mage = 62.05, SD = 8.13) committing more than one perseverative errors were grouped into the Perseverate group. The Switch group had Brodmann Area (BA) 9 and 10 activated in the pre-switch period and BA 6, 9, 10, 40, and 44 in the post-switch period. In contrast, the Perseverate group had BA 9 and 10 activated in the pre-switch period and BA 8, 9, 10 in the pos…

How to engineer biologically inspired cognitive architectures

2013

Biologically inspired cognitive architectures are complex systems where different modules of cognition interact in order to reach the global goals of the system in a changing environment. Engineering and modeling this kind of systems is a hard task due to the lack of techniques for developing and implementing features like learning, knowledge, experience, memory, adaptivity in an inter-modular fashion. We propose a new concept of intelligent agent as abstraction for developing biologically cognitive architectures. © 2013 Springer-Verlag.

Swarming Models for Facilitating Collaborative Decisions

2010

The paper highlights the computational power of swarming models (i.e., stigmergic mechanisms) to build collaborative support systems for complex cognitive tasks such as facilitation of group decision processes (GDP) in e-meetings. Unlike traditional approaches that minimize the cognitive complexity by incorporating the facilitation knowledge into the system, stigmergic coordination mechanisms minimize the complexity by providing the system with emergent functionalities that are shaped by the environment itself through the possibility to structure it in terms of high-level cognitive artefacts. This is illustrated by conducting a socio-simulation experiment for an envisioned collaborative sof…

Colour image segmentation and labeling through multiedit-condensing

1992

Abstract A new method is proposed for detecting and locating objects of interest within a colour scene under very strong variabilities in lighting conditions, object shape and pigmentation. The method is based on Nearest Neighbour classification and Multiedit-Condensing techniques and is applied to implement the vision subsystem of a robotic citric harvesting device. Experiments and results are reported showing the effectiveness of the method and illustrating its appropriateness to the proposed task.

Best not to bet on the horserace: A comment on Forrin and MacLeod (2017) and a relevant stimulus-response compatibility view of colour-word contingen…

2018

International audience; One powerfully robust method for the study of human contingency learning is the colour-word contingency learning paradigm. In this task, participants respond to the print colour of neutral words, each of which is presented most often in one colour. The contingencies between words and colours are learned, as indicated by faster and more accurate responses when words are presented in their expected colour relative to an unexpected colour. In a recent report, Forrin and MacLeod (2017b, Memory & Cognition) asked to what extent this performance (i.e., response time) measure of learning might depend on the relative speed of processing of the word and the colour. With keypr…

J-MADeM, a market-based model for complex decision problems

2010

This paper presents J-MADeM, a multi-modal decision making mechanism to provide agents in a Multi-Agent Systems (MAS) with a market-based model for complex decision problems. J-MADeM is now available as an open source library fully integrated into Jason, the successful interpreter for the AgentSpeak programming language. The aim of this work is to improve Jason by incorporating an agent decision-making module able to merge multiple information sources received from the rest of the agents. This information is modeled as a set of utility functions expressing the preferences of the agents for a specific problem. Then, J-MADeM agents use one-round sealed-bid combinatorial auctions as the main p…