An adaptive network model covering metacognition to control adaptation for multiple mental models

Learning processes can be described by adaptive mental (or neural) network models. If metacognition is used to regulate learning, the adaptation of the mental network becomes itself adaptive as well: second-order adaptation. In this paper, a second-order adaptive mental network model is introduced for metacognitive regulation of learning processes. The focus is on the role of multiple internal mental models, in particular, the case of visualisation to support learning of numerical or symbolic skills. The second-order adaptive network model is illustrated by a case scenario for the role of visualisation to support learning multiplication at the primary school.     

Decision-making bioinspired model for target definition and “satisfactor” selection for physiological needs

Every person, from an early age, has to make decisions to resolve situations that arise in life. In general, different people make different decisions in the same situation, since decision-making takes into account different factors such as age, emotional state, experience, among others. We can make decisions about situations that we classify as: more important than others, routine, unexpected, or trivial. However, making the correct decision(s) in a timely manner for these situations is one of the most complex and delicate challenges that human beings face. This is due to the arduous mental process required to be carried out. Providing such behavior to a virtual entity is possible through the use of Cognitive Architectures (CAs). CAs are an approach for modeling human intelligence and behavior. This paper presents an functional bioinspired computational decision-making model to satisfy the physiological needs of hunger and thirst. Our proposal considers as black boxes other cognitive functions that are part of a general CA (named Cuäyöllötl or brain in Nahuatl). In the proposed case study, it is proved that the decision-making process plays an essential role in determining the objective and selecting the object that satisfies the established need.     

Declarative working memory: A bio-inspired cognitive architecture proposal

Memory is considered one of the most important functions since it allows us to code, store and retrieve knowledge. These qualities make it an indispensable function for a virtual creature. In general, memory can be classified based on the durability of the stored data in working memory and long-term memory. Working memory refers to the capacity to maintain temporarily a limited amount of information in mind, which can then be used to support various abilities, including learning, reasoning, planning and decision-making. Unlike short-term memory, working memory is not only a storage site, but it is also a framework of interacting processes that involve the temporary storage and manipulation of information in the service of performing complex cognitive activities. Declarative memory is a type of long-term memory related with the storage of facts and events. This research focuses on the development of a cognitive architecture for the type of working memory that maintains and manipulates declarative information. The construction of the model was grounded in theoretical evidence taken from cognitive sciences such as neuroscience and psychology, which gave us the components and their processes. The model was evaluated through a case study that covers the encoding, storing, and retrieval stages. Our hypothesis is that a virtual creature endowed with our working memory model will provide faster access to the information needed for the ongoing task. Therefore, it improves the planning and decision-making processes.     

公平规范执行中内群体偏爱的心理发展机制

如何揭示群体规范和公平价值在个体心理发展中的作用机理, 提升儿童-青少年在群际互动当中的公平感知与规范执行, 是教育心理领域的关键问题。公平规范执行中内群体偏爱现象是近年来的研究热点之一, 然而先前研究存在以下不足：1)大多采用问卷法, 易受社会赞许性的影响, 存在言行不一致的情况; 2)大多采用情景实验, 聚焦社会互动的最终行为输出端, 无法实时有效地把握社会决策的动态进程; 3)脑成像研究仍以fMRI技术为主, 侧重于评估认知加工潜在的脑区激活模式及各脑区间的功能连接, 缺乏对群际公平规范执行中大脑激活动态模式的精确把握。针对这些不足, 本项目从资产分配情景出发, 以儿童和青少年为研究对象, 联合运用认知、行为、眼动和电生理等多层次测评手段, 对公平规范执行中内群体偏爱的发生过程进行认知解析, 探讨认知控制和心智化在其间的关键作用机制及其心理发展轨迹。研究结果将服务于中小学管理中的德育教育, 引导与培养学生的公正感与行为。     

神经美学视角的审美愉悦加工机制

审美对象特有的刺激属性会唤起观赏者特定的情绪或情感反应。个体在欣赏自然、艺术品和其他人类作品时会产生审美愉悦体验。审美愉悦-兴趣模型(PIA)认为, 审美愉悦体验包含审美过程中自动化加工阶段的审美愉悦和控制加工阶段的审美兴趣。近年来, 神经美学研究表明, 负责愉悦和奖赏的眶额叶皮层在审美过程中广泛激活, 是自动化加工阶段初级审美愉悦奖赏的神经基础, 而审美过程中纹状体亚回路中不同的连接和功能作用与两个阶段中审美愉悦的产生都有关联; 上述结果支持了审美愉悦-兴趣模型。但审美高峰体验时默认模式网络(DMN)相关脑区的激活和负责控制与理性思维的外侧前额叶皮层等脑区的失活, 提示在PIA模型强调的自动化加工阶段审美愉悦和控制加工阶段审美兴趣之上, 还有整合升华阶段的审美沉浸愉悦, PIA模型需得到进一步的扩展。未来研究应进一步检验审美愉悦认知加工模型及神经机制, 探索审美对创造力的影响机制和神经基础, 探讨不同审美经验愉悦机制的异同。     

付出回报失衡与高校青年教师的焦虑：心理契约破裂的中介作用和过度承诺的调节作用

基于付出回报失衡模型,考察了高校青年教师的付出回报失衡与焦虑的关系。对336名高校青年教师进行了多时间点调查。结果显示：（1）付出回报失衡对高校青年教师的焦虑有显著正向预测作用;（2）付出回报失衡通过心理契约破裂间接影响高校青年教师的焦虑;（3）相较于低过度承诺教师,高过度承诺教师的付出回报失衡经由心理契约破裂对焦虑的影响更为突出。研究结果揭示了付出回报失衡对焦虑影响的过程机制和边界条件,对高校青年教师工作焦虑的改善有一定启示。     

受害者视角下职场不文明行为对组织公民行为影响的双路径机制

本文基于资源保存理论,探讨职场不文明行为对组织公民行为的影响机制及作用边界。通过问卷调查315份员工和领导的配对样本数据,结果表明：职场不文明行为负向预测组织公民行为,情绪耗竭、组织自尊中介了职场不文明行为与组织公民行为间的关系;心理韧性调节了情绪耗竭、组织自尊在二者间的中介作用。     

不患不均？容忍和支持经济不平等的心理学解释

不断加剧的经济不平等问题对个体和社会有着巨大危害,然而人们对经济不平等却有着较高的容忍性。基于个体心理的研究证据,本文提出认知和动机双重路径模型来解释个体容忍和支持经济不平等问题。在认知路径上,个体倾向于低估当前社会的经济不平等程度和将经济不平等评价为公平的;在动机路径上,个体预期经济不平等将带来自我利益的增加。未来研究应进一步整合多重心理机制间的关系,并探索有效干预手段以增加人们对减少经济不平等的支持。     

混合情绪能促进心理健康吗？

摘 要 积极和消极情绪的同时体验,即混合情绪,是生活中常见的情绪状态。健康应对的共激活模型、情绪动态模型和积极比模型一致认为混合情绪与心理健康之间呈现非线性的关系,适当的混合情绪有利于个体在困境中全面加工和整合信息,寻求意义,获得控制感,进而实现健康应对和心理症状改善,获得幸福感。未来研究应关注对非线性关系的精确描述;低压力或非压力情境下混合情绪的意义;进一步研究混合情绪促进心理健康的内部机制和影响因素。