Introduction: This study aims to compare the effectiveness of mindfulness-based cognitive therapy and meta-cognitive therapy based on training on emotion regulation and anxiety sensitivity in elderly with precedent heart disease in Tehran city.  Methods: This was an experimental study with pre-test & post-test and statistical population consisted of all elderly with precedent heart disease liv...

The objective of this study was to investigate the association of different cognitive abilities with children's body weight adjusted for further weight influencing sociodemographic, family, and lifestyle factors. Cross-sectional data of 498 primary school children (7.0 ± 0.6 years; 49.8% boys) participating in a health promotion programme in southwest Germany were used. Children performed a com...

Aim: This study aimed to investigate effectiveness of Group Metacognitive Therapy (MCT) on internet addiction and cognitive-emotional regulation among adolescents. Methods: A quasi-experimental design was used which included pre-tests, post-tests, and follow-ups. In 2020-2021 academic years, all boy adolescents in Qazvin were included in study. Thirty adolescents were randomly selected and ass...

Private transport accounts for a large amount of total CO2 emissions, thus significantly contributing to global warming. Tools that actively support people in engaging in a more sustainable life-style without restricting their mobility are urgently needed. How can location-aware information and communication technology (ICT) enable novel interactive and participatory approaches that help people...

We present AKIRA, an agent-based hybrid architecture designed for cognitive modeling. We describe some of the underlying ideas motivating its development, such as the possibility of exploiting distributed representations and performing parallel, dynamic and context aware computation. We illustrate its main components and capabilities and compare it with some related cognitive architectures, suc...

This paper presents a learning theory pertinent to dynamic decision making (DDM) called instancebased learning theory (IBLT). IBLT proposes five learning mechanisms in the context of a decision-making process: instance-based knowledge, recognition-based retrieval, adaptive strategies, necessity-based choice, and feedback updates. IBLT suggests in DDM people learn with the accumulation and refin...

AKIRA is an open-source framework for agent-based cognitive and socio-cognitive modeling and simulation. In this introductory paper we explain the underlying theoretical assumptions that lead to its central features, e.g. hybridism of the components, access to a common pool of resources, homeostasis of the system. In order to show the potentiality of AKIRA for cognitive modeling, we provide and...

machines that can perform useful tasks. They want to develop the technology of intelligence. They want to be able to design and build computer programs that can solve problems and adapt to new situations. In this article, I discuss case-based reasoning, an AI paradigm that addresses both research agendas. Case-based reasoning is a psychological theory of human cognition. It addresses issues in ...