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Behavioral and Brain Sciences最新文献

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Meta-learned models beyond and beneath the cognitive. 认知之外和认知之下的元学习模型。
IF 16.6 1区 心理学
Behavioral and Brain Sciences Pub Date : 2024-09-23 DOI: 10.1017/S0140525X24000141
Mihnea Moldoveanu
{"title":"Meta-learned models beyond and beneath the cognitive.","authors":"Mihnea Moldoveanu","doi":"10.1017/S0140525X24000141","DOIUrl":"https://doi.org/10.1017/S0140525X24000141","url":null,"abstract":"<p><p>I propose that meta-learned models, and in particular the situation-aware deployment of \"learning-to-infer\" modules can be advantageously extended to domains commonly thought to lie outside the cognitive, such as motivations and preferences on one hand, and the effectuation of micro- and coping-type behaviors.</p>","PeriodicalId":8698,"journal":{"name":"Behavioral and Brain Sciences","volume":null,"pages":null},"PeriodicalIF":16.6,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142279925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Meta-learning in active inference. 主动推理中的元学习
IF 16.6 1区 心理学
Behavioral and Brain Sciences Pub Date : 2024-09-23 DOI: 10.1017/S0140525X24000074
O Penacchio, A Clemente
{"title":"Meta-learning in active inference.","authors":"O Penacchio, A Clemente","doi":"10.1017/S0140525X24000074","DOIUrl":"https://doi.org/10.1017/S0140525X24000074","url":null,"abstract":"<p><p>Binz et al. propose meta-learning as a promising avenue for modelling human cognition. They provide an in-depth reflection on the advantages of meta-learning over other computational models of cognition, including a sound discussion on how their proposal can accommodate neuroscientific insights. We argue that active inference presents similar computational advantages while offering greater mechanistic explanatory power and biological plausibility.</p>","PeriodicalId":8698,"journal":{"name":"Behavioral and Brain Sciences","volume":null,"pages":null},"PeriodicalIF":16.6,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142279929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Quantum Markov blankets for meta-learned classical inferential paradoxes with suboptimal free energy. 针对具有次优自由能的元学习经典推理悖论的量子马尔可夫空白。
IF 16.6 1区 心理学
Behavioral and Brain Sciences Pub Date : 2024-09-23 DOI: 10.1017/S0140525X24000244
Kevin B Clark
{"title":"Quantum Markov blankets for meta-learned classical inferential paradoxes with suboptimal free energy.","authors":"Kevin B Clark","doi":"10.1017/S0140525X24000244","DOIUrl":"https://doi.org/10.1017/S0140525X24000244","url":null,"abstract":"<p><p>Quantum active Bayesian inference and quantum Markov blankets enable robust modeling and simulation of difficult-to-render natural agent-based classical inferential paradoxes interfaced with task-specific environments. Within a non-realist cognitive completeness regime, quantum Markov blankets ensure meta-learned irrational decision making is fitted to explainable manifolds at optimal free energy, where acceptable incompatible observations or temporal Bell-inequality violations represent important verifiable real-world outcomes.</p>","PeriodicalId":8698,"journal":{"name":"Behavioral and Brain Sciences","volume":null,"pages":null},"PeriodicalIF":16.6,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142279934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Meta-learning goes hand-in-hand with metacognition. 元学习与元认知相辅相成。
IF 16.6 1区 心理学
Behavioral and Brain Sciences Pub Date : 2024-09-23 DOI: 10.1017/S0140525X24000256
Chris Fields, James F Glazebrook
{"title":"Meta-learning goes hand-in-hand with metacognition.","authors":"Chris Fields, James F Glazebrook","doi":"10.1017/S0140525X24000256","DOIUrl":"https://doi.org/10.1017/S0140525X24000256","url":null,"abstract":"<p><p>Binz et al. propose a general framework for meta-learning and contrast it with built-by-hand Bayesian models. We comment on some architectural assumptions of the approach, its relation to the active inference framework, its potential applicability to living systems in general, and the advantages of the latter in addressing the explanation problem.</p>","PeriodicalId":8698,"journal":{"name":"Behavioral and Brain Sciences","volume":null,"pages":null},"PeriodicalIF":16.6,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142279928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Meta-learning: Data, architecture, and both. 元学习：数据、架构和两者。
IF 16.6 1区 心理学
Behavioral and Brain Sciences Pub Date : 2024-09-23 DOI: 10.1017/S0140525X24000311
Marcel Binz, Ishita Dasgupta, Akshay Jagadish, Matthew Botvinick, Jane X Wang, Eric Schulz
{"title":"Meta-learning: Data, architecture, and both.","authors":"Marcel Binz, Ishita Dasgupta, Akshay Jagadish, Matthew Botvinick, Jane X Wang, Eric Schulz","doi":"10.1017/S0140525X24000311","DOIUrl":"10.1017/S0140525X24000311","url":null,"abstract":"<p><p>We are encouraged by the many positive commentaries on our target article. In this response, we recapitulate some of the points raised and identify synergies between them. We have arranged our response based on the tension between data and architecture that arises in the meta-learning framework. We additionally provide a short discussion that touches upon connections to foundation models.</p>","PeriodicalId":8698,"journal":{"name":"Behavioral and Brain Sciences","volume":null,"pages":null},"PeriodicalIF":16.6,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142279932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Meta-learning: Bayesian or quantum? 元学习：贝叶斯还是量子？
IF 16.6 1区 心理学
Behavioral and Brain Sciences Pub Date : 2024-09-23 DOI: 10.1017/S0140525X24000220
Antonio Mastrogiorgio
{"title":"Meta-learning: Bayesian or quantum?","authors":"Antonio Mastrogiorgio","doi":"10.1017/S0140525X24000220","DOIUrl":"https://doi.org/10.1017/S0140525X24000220","url":null,"abstract":"<p><p>Abundant experimental evidence illustrates violations of Bayesian models across various cognitive processes. Quantum cognition capitalizes on the limitations of Bayesian models, providing a compelling alternative. We suggest that a generalized quantum approach in meta-learning is simultaneously more robust and flexible, as it retains all the advantages of the Bayesian framework while avoiding its limitations.</p>","PeriodicalId":8698,"journal":{"name":"Behavioral and Brain Sciences","volume":null,"pages":null},"PeriodicalIF":16.6,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142279931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The added value of affective processes for models of human cognition and learning. 情感过程对人类认知和学习模型的附加值。
IF 16.6 1区 心理学
Behavioral and Brain Sciences Pub Date : 2024-09-23 DOI: 10.1017/S0140525X24000207
Yoann Stussi, Daniel Dukes, David Sander
{"title":"The added value of affective processes for models of human cognition and learning.","authors":"Yoann Stussi, Daniel Dukes, David Sander","doi":"10.1017/S0140525X24000207","DOIUrl":"https://doi.org/10.1017/S0140525X24000207","url":null,"abstract":"<p><p>Building on the affectivism approach, we expand on Binz et al.'s meta-learning research program by highlighting that emotion and other affective phenomena should be key to the modeling of human learning. We illustrate the added value of affective processes for models of learning across multiple domains with a focus on reinforcement learning, knowledge acquisition, and social learning.</p>","PeriodicalId":8698,"journal":{"name":"Behavioral and Brain Sciences","volume":null,"pages":null},"PeriodicalIF":16.6,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142279936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Integrative learning in the lens of meta-learned models of cognition: Impacts on animal and human learning outcomes. 元学习认知模型视角下的综合学习：对动物和人类学习成果的影响。
IF 16.6 1区 心理学
Behavioral and Brain Sciences Pub Date : 2024-09-23 DOI: 10.1017/S0140525X2400027X
Bin Yin, Xi-Dan Xiao, Xiao-Rui Wu, Rong Lian
{"title":"Integrative learning in the lens of meta-learned models of cognition: Impacts on animal and human learning outcomes.","authors":"Bin Yin, Xi-Dan Xiao, Xiao-Rui Wu, Rong Lian","doi":"10.1017/S0140525X2400027X","DOIUrl":"https://doi.org/10.1017/S0140525X2400027X","url":null,"abstract":"<p><p>This commentary examines the synergy between meta-learned models of cognition and integrative learning in enhancing animal and human learning outcomes. It highlights three integrative learning modes - holistic integration of parts, top-down reasoning, and generalization with in-depth analysis - and their alignment with meta-learned models of cognition. This convergence promises significant advances in educational practices, artificial intelligence, and cognitive neuroscience, offering a novel perspective on learning and cognition.</p>","PeriodicalId":8698,"journal":{"name":"Behavioral and Brain Sciences","volume":null,"pages":null},"PeriodicalIF":16.6,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142279920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Meta-learning and the evolution of cognition. 元学习与认知进化。
IF 16.6 1区 心理学
Behavioral and Brain Sciences Pub Date : 2024-09-23 DOI: 10.1017/S0140525X24000177
Walter Veit, Heather Browning
{"title":"Meta-learning and the evolution of cognition.","authors":"Walter Veit, Heather Browning","doi":"10.1017/S0140525X24000177","DOIUrl":"https://doi.org/10.1017/S0140525X24000177","url":null,"abstract":"<p><p>Meta-learning offers a promising framework to make sense of some parts of decision-making that have eluded satisfactory explanation. Here, we connect this research to work in animal behaviour and cognition in order to shed light on how and whether meta-learning could help us to understand the evolution of cognition.</p>","PeriodicalId":8698,"journal":{"name":"Behavioral and Brain Sciences","volume":null,"pages":null},"PeriodicalIF":16.6,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142279926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Linking meta-learning to meta-structure. 将元学习与元结构联系起来。
IF 16.6 1区 心理学
Behavioral and Brain Sciences Pub Date : 2024-09-23 DOI: 10.1017/S0140525X24000232
Malte Schilling, Helge J Ritter, Frank W Ohl
{"title":"Linking meta-learning to meta-structure.","authors":"Malte Schilling, Helge J Ritter, Frank W Ohl","doi":"10.1017/S0140525X24000232","DOIUrl":"10.1017/S0140525X24000232","url":null,"abstract":"<p><p>We propose that a principled understanding of meta-learning, as aimed for by the authors, benefits from linking the focus on learning with an equally strong focus on structure, which means to address the question: What are the meta-structures that can guide meta-learning?</p>","PeriodicalId":8698,"journal":{"name":"Behavioral and Brain Sciences","volume":null,"pages":null},"PeriodicalIF":16.6,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142279923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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