認(rèn)知系統(tǒng)研究致力于人類智力水平的研究。因此，它歡迎促進(jìn)自然和人工認(rèn)知和智能系統(tǒng)的理解、設(shè)計(jì)和應(yīng)用的論文。該雜志匯集了一個(gè)廣泛的社區(qū)研究認(rèn)知結(jié)構(gòu)在體內(nèi)和硅。它旨在從不同學(xué)科和認(rèn)知架構(gòu)的不同視角(包括生物啟發(fā)和非生物啟發(fā))，以及認(rèn)知系統(tǒng)的開發(fā)和應(yīng)用，整合思想、概念、結(jié)構(gòu)、理論、模型和技術(shù)。認(rèn)知系統(tǒng)研究在培育和促進(jìn)“BICA挑戰(zhàn)”方面發(fā)揮著特殊的作用。BICA的挑戰(zhàn)是通過每年為BICA相關(guān)主題提供兩個(gè)專題，創(chuàng)建一個(gè)現(xiàn)實(shí)生活中與人類思維等價(jià)的計(jì)算模型。認(rèn)知系統(tǒng)研究歡迎在以下范圍內(nèi)以原稿、短交流、調(diào)查文章等形式開展成熟前沿的研究:認(rèn)知科學(xué):包括自主認(rèn)知與元認(rèn)知、意象、感覺制造、元學(xué)習(xí)、自我調(diào)節(jié)學(xué)習(xí)、終身學(xué)習(xí)與認(rèn)知成長、學(xué)習(xí)者的“臨界量”、自然與人工創(chuàng)造力、情感與情感、情感能力、社會(huì)認(rèn)知、自我、類人情景記憶、語言感知、加工、生產(chǎn)、習(xí)得與發(fā)展。實(shí)驗(yàn)心理學(xué):如果以計(jì)算模型研究作為補(bǔ)充，將考慮對上述主題的實(shí)證研究。計(jì)算機(jī)科學(xué)與人工智能:包括認(rèn)知架構(gòu)、虛擬與物理認(rèn)知機(jī)器人、合成字符、引導(dǎo)與類人學(xué)習(xí)、人機(jī)界面、視覺與計(jì)算語言學(xué)。神經(jīng)科學(xué)和神經(jīng)工程:包括系統(tǒng)級計(jì)算神經(jīng)科學(xué),認(rèn)知神經(jīng)科學(xué),模型的語義和情景記憶的神經(jīng)基質(zhì)和意識,機(jī)構(gòu),情緒和情感,心理理論和社會(huì)認(rèn)知、語言、圖像、自愿控制,目標(biāo)和價(jià)值體系,空間認(rèn)知和實(shí)施新電腦基質(zhì)如神經(jīng)工程。

Cognitive Systems Research is dedicated to the study of human-level intelligence. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial.The journal brings together a broad community studying cognitive architectures in vivo and in silico. It aims to integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on cognitive architectures - both biologically-inspired and non-biologically-inspired - and the development and application of cognitive systems. Cognitive Systems Research plays a special role in fostering and promoting the 'BICA Challenge' to create a real-life computational equivalent of the human mind by devoting two special issues to BICA related topics each year.Cognitive Systems Research welcomes mature and cutting-edge research in the form of original manuscripts, short communications and survey articles within the following scope: Cognitive science: including autonomous cognition and metacognition, imagery, sensemaking, meta-learning, self-regulated learning, life-long learning and cognitive growth, "critical mass" of a learner, natural and artificial creativity, affects, emotions and feelings, emotional competence, social cognition, the self, human-like episodic memory, language perception, processing, production, acquisition and development. Experimental psychology: Empirical studies on the topics listed above will be considered if they are supplemented by computational modelling studies. Computer science and artificial intelligence: including cognitive architectures, virtual and physical cognitive robotics, synthetic characters, bootstrapped and human-like learning, human-computer interface, vision and computational linguistics. Neuroscience and neuromorphic engineering: including system-level computational neuroscience, cognitive neuroscience, models of the neural substrates of semantic and episodic memory and awareness, agency, emotions and feelings, theory of mind and social cognition, language, imagery, voluntary control, goal and value systems, spatial cognition and the implementation of new computer substrates such as neuromorphic engineering.