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From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks
[article]
2022
arXiv
pre-print
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As a result, curiosity-driven learning (CDL) has become increasingly popular, where agents are self-motivated to learn novel knowledge. ...
In this paper, we first present a comprehensive review on the psychological study of curiosity and summarize a unified framework for quantifying curiosity as well as its arousal mechanism. ...
[41] proposed a curiosity-driven recommender system for personalized learning by leveraging the deep RL technique; however, it still suffered from the "couch potato" issue. • The existing curiosity-driven ...
arXiv:2201.08300v1
fatcat:ume57gb4lzfxle6yuruum4onqq
Computational Curiosity (A Book Draft)
[article]
2015
arXiv
pre-print
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Chapter 7 discusses the application of the generic computational model of curiosity in a recommender system. ...
Chapter 2 reviews the arousal theories of curiosity in psychology and summarizes a general two-step process model for computational curiosity. ...
In the context of social recommendation, a curiosity-driven recommendation algorithm is developed by realizing the generic computational model of curiosity in a recommender agent. ...
arXiv:1502.04780v1
fatcat:f2qyhnwrundgxnbvnffwskyygu
Social curiosity as a way to overcome death anxiety: perspective of terror management theory
2020
Heliyon
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In Study 2 (N = 507, M age = 20.68) it was found that intolerance of uncertainty and desire for self-verification mediated the relationship between death anxiety and social curiosity. ...
Study 1 (N = 352, M age = 19.39) found a positive relationship between death anxiety and social curiosity. ...
Figure 1 . 1 Serial mediation model study 2, intolerance of uncertainty and desire for self-verification as mediators between death anxiety and social curiosity (*: p < .05, **: p < .01, ***: p < .001) ...
doi:10.1016/j.heliyon.2020.e03556
pmid:32195392
pmcid:PMC7078517
fatcat:l2fya44jvzgfjjim5stjze7w3y
A New Theoretical Framework for Curiosity for Learning in Social Contexts
[chapter]
2017
Lecture Notes in Computer Science
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Curiosity is a vital metacognitive skill in educational contexts. Yet, little is known about how social factors influence curiosity in group work. ...
This framework is a step towards designing learning technologies that can recognize and evoke curiosity during learning in social contexts. ...
This is because knowledge seeking behaviors driven by curiosity not only contribute to the satisfaction of the initial desire for knowledge, but also potentially lead to further identification of new knowledge ...
doi:10.1007/978-3-319-66610-5_19
fatcat:4hg2347jondcrjalwixashjs3i
To know, to feel, to share? Exploring the motives that drive curiosity for negative content
2020
Current Opinion in Behavioral Sciences
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Exploring the motives that drive curiosity for negative content Niehoff, E.; Oosterwijk, S. ...
Building on these theories, we propose that curiosity for negative content may be driven by the expected reward value of an anticipated gain in information (see further [15 ] ). ...
Motives to follow social norms or engage in social comparison may be one of many ways in which the social environment impacts curiosity in general [54] and curiosity for negative content in particular ...
doi:10.1016/j.cobeha.2020.07.012
fatcat:lwevgwwrlbe4rm5x7wewk4usue
Optimising the ��Economics of Curiosity�� for Better Future Foresight
2020
American Journal of Economics
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The methodology tracks how curiosity flows that lead to the creation of the outcome of the model. A framework for optimising the curiosity economy is finally proposed. ...
The paper concludes with recommendations of further studies on how curiosity would help in creating future sustainable outcomes compared to the foresighted socio-economic challenges. ...
'Innovation' Curiosity 'Innovation' driven curiosity can come from different dimensions. Excessive anxiety impedes human lust for new discovery. ...
doi:10.5923/j.economics.20201001.04
fatcat:t5azve5uozhelpthv7f25wjxsy
Curiosity, interest and engagement in technology-pervasive learning environments: a new research agenda
2011
Educational technology research and development
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Learning modalities for promoting this theoretical model are discussed leading to a series of recommendations for future research. ...
A theoretical model for curiosity, interest and engagement in new media technology-pervasive learning environments is advanced, taking into consideration personal, situational and contextual factors as ...
For example, Reio et al. (2006) put forth a 3-factor model of curiosity that includes cognitive curiosity, physical thrill seeking, and social thrill seeking. ...
doi:10.1007/s11423-011-9190-9
fatcat:eptqveznlncevccdmxq6qlz5ne
Escaping Stochastic Traps with Aleatoric Mapping Agents
[article]
2021
arXiv
pre-print
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We show AMAs are able to effectively circumvent action-dependent stochastic traps that immobilise conventional curiosity driven agents. ...
Curiosity driven learning -- using feed-forward prediction errors as intrinsic rewards -- has achieved some success in these scenarios, but fails when faced with action-dependent noise sources. ...
A notable exploration method that effectively deals with sparse rewards is curiosity driven learning-where agents are equipped with a self-supervised forward prediction model that employs prediction errors ...
arXiv:2102.04399v2
fatcat:iu2fwrhatbd6hgdcfhowdro5b4
Can Children Catch Curiosity from a Social Robot?
2015
Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction - HRI '15
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We manipulated the robot's behavior to be either curiosity-driven or not and measured the child's curiosity after the interaction. ...
These results suggest that interacting with an autonomous social curious robot can selectively guide and promote children's curiosity. ...
G.G. was supported by the Fulbright commission for Israel, the United States-Israel Educational Foundation. ...
doi:10.1145/2696454.2696469
dblp:conf/hri/GordonBE15
fatcat:guf23y3jtzgynpqilsy6w2c7jq
A rationale for science–policy interfaces
2007
Futures : The journal of policy, planning and futures studies
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Science-policy interfaces are defined as social processes which encompass relations between scientists and other actors in the policy process, and which allow for exchanges, co-evolution, and joint construction ...
This paper aims at a better understanding of the justifications for science-policy interfaces, of the reasons for their growing importance in environmental governance, and of the theoretical and epistemological ...
Acknowledgements I am grateful to Marc Le Menestrel for insightful comments and discussions on earlier drafts of this work. Any error and the views put forward remain my entire responsibility. ...
doi:10.1016/j.futures.2006.12.004
fatcat:lezn6uphczfxfoe7mcafezsjoe
The worth of a songbird: ecological economics as a post-normal science
1994
Ecological Economics
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One of the very valuable features of Ecological Economics is its provision for publications under the rubric 'Commentary'. ...
Dawson for their contributions to the development of this paper. ...
They are implicit in the leap from the tentative model conclusions to the firm policy recommendations. ...
doi:10.1016/0921-8009(94)90108-2
fatcat:qfdb3ibmljfbrovqt65p7bvixa
The role of certainty (and uncertainty) in attitudes and persuasion
2016
Current Opinion in Psychology
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This article provides an overview of recent work on attitude certainty, which has been the subject of considerable attention in the social and consumer psychology literatures. ...
In particular, this article describes the consequences of feeling certain or uncertain of an attitude, outlines the metacognitive appraisals that shape people's feelings of certainty or uncertainty, and ...
This effect is driven by curiosity and processing: A momentary interruption early in a message can boost curiosity -a form of interested uncertainty -about what the rest of the message might say, which ...
doi:10.1016/j.copsyc.2015.10.017
fatcat:i3bd4vcmhnec7gksniafxja5ia
Roadmap of Designing Cognitive Metrics for Explainable Artificial Intelligence (XAI)
[article]
2021
arXiv
pre-print
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., goodness, satisfaction, user understanding, curiosity & engagement, trust & reliance, controllability & interactivity, and learning curve & productivity, together with the recommended subjective and ...
This point is especially important for research on evaluation methods for XAI systems. ...
Important factors to consider The most significant reason for measuring curiosity in the XAI context is that the act of seeking an explanation is driven by curiosity (Hoffman et al., 2018) . ...
arXiv:2108.01737v1
fatcat:kq4dt3t2jzgbzbef7qul4enhqy
Emotional Learning Analytics
[chapter]
2017
Handbook of Learning Analytics
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It argues that substantial progress can be made by coupling the discovery-oriented, data-driven, analytic advances and methodologies from the affective and learning sciences. ...
At the "recommendation" of a reviewer of one of my an additive combination of parametric and nonparametric smooth functions of predictor variables, while addressing autocorrelations among residuals (for ...
(adaptive condition), no responses to uncertainty (non-adaptive control condition), or random responses to uncertainty (random control condition). ...
doi:10.18608/hla17.010
fatcat:5nqdbqwbwjdgbcytolsktqeuse
Scholarly science policy models and real policy, RSD for SciSIP in US Mission Agencies
2011
Policy sciences
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This empirical exploration of knowledge production theories fosters an evaluation of existing models of knowledge production, including the linear model, use-inspired basic research, well-ordered science ...
This analysis examines how institutional factors such as problem definitions, decision-making structures, quality-control mechanisms, distribution of participants, and social accountability guide the production ...
However, exponents of the linear model have integrated curiosity-driven research as an ideal to be pursued. ...
doi:10.1007/s11077-011-9136-4
fatcat:guf5ij5dezdnrf73ie3ynadydm
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