The growth and form of knowledge networks by kinesthetic curiosity
Tài liệu tham khảo
Litman, 2008, Interest and deprivation factors of epistemic curiosity, Pers Individ Diff, 44, 1585, 10.1016/j.paid.2008.01.014
Kidd, 2015, The psychology and neuroscience of curiosity, Neuron, 88, 449, 10.1016/j.neuron.2015.09.010
Gottlieb, 2018, Towards a neuroscience of active sampling and curiosity, Nat Rev Neurosci, 19, 758, 10.1038/s41583-018-0078-0
Kashdan, 2018, The five-dimensional curiosity scale: capturing the bandwidth of curiosity and identifying four unique subgroups of curious people, J Res Pers, 73, 130, 10.1016/j.jrp.2017.11.011
Lydon-Staley, 2019, Within-person variability in curiosity during daily life and associations with well-being, J Pers
Wade, 2019, The role of prior knowledge and curiosity in learning, Psychonom Bull Rev, 26, 1377, 10.3758/s13423-019-01598-6
Gruber, 2019, How curiosity enhances hippocampus-dependent memory: the prediction, appraisal, curiosity, and exploration (pace) framework, Trends Cogn Sci, 23, 1014, 10.1016/j.tics.2019.10.003
Solé, 2010, Language networks: their structure, function, and evolution, Complexity, 15, 20, 10.1002/cplx.20326
Zurn, 2019, Philosophy of biology: seizing an opportunity, eLife, 8, 10.7554/eLife.48336
Gottlieb, 2013, Information-seeking, curiosity, and attention: computational and neural mechanisms, Trends Cogn Sci, 17, 585, 10.1016/j.tics.2013.09.001
Bossaerts, 2017, Computational complexity and human decision-making, Trends Cogn Sci, 21, 917, 10.1016/j.tics.2017.09.005
de Jager, 2011, Lévy walks evolve through interaction between movement and environmental complexity, Science, 332, 1551, 10.1126/science.1201187
Hills, 2015, Exploration versus exploitation in space, mind, and society, Trends Cogn Sci, 19, 46, 10.1016/j.tics.2014.10.004
Zurn, 2018, On curiosity: a fundamental aspect of personality, a practice of network growth, Pers Neurosci, 1
Zurn, 2019, Chapter 2 busybody, hunter, and dancer: three historical models of curiosity, 26
Lydon-Staley, 2020
Bassett, 2020
Hills, 2012, Optimal foraging in semantic memory, Psychol Rev, 119, 431, 10.1037/a0027373
Abbott, 2015, Random walks on semantic networks can resemble optimal foraging, 558
Magid, 2015, Imagination and the generation of new ideas, Cogn Dev, 34, 99, 10.1016/j.cogdev.2014.12.008
Muentener, 2018, The efficiency of infants’ exploratory play is related to longer-term cognitive development, Front Psychol, 9, 635, 10.3389/fpsyg.2018.00635
Falk, 2018, Persuasion, influence, and value: perspectives from communication and social neuroscience, Annu Rev Psychol, 69, 329, 10.1146/annurev-psych-122216-011821
Wheatley, 2019, Beyond the isolated brain: the promise and challenge of interacting minds, Neuron, 103, 186, 10.1016/j.neuron.2019.05.009
Kenett, 2019, A semantic network cartography of the creative mind, Trends Cogn Sci, 23, 271, 10.1016/j.tics.2019.01.007
Gray, 2019
Lynn, 2020, Human information processing in complex networks, Nat Phys, 16, 965, 10.1038/s41567-020-0924-7
Siew, 2019, Using network science to analyze concept maps of psychology undergraduates, Appl Cogn Psychol, 33, 662, 10.1002/acp.3484
Siew, 2020, Applications of network science to education research: quantifying knowledge and the development of expertise through network analysis, Educ Sci, 10, 101, 10.3390/educsci10040101
Yonge, 1854
Augustine, 1961
Pascal, 1968
Plutarch, 1939
Heidegger, 1996
Foucault, 2019
Nietzsche, 1996, vol 6075
Pons, 2005, Computing communities in large networks using random walks, 284
Findling, 2019, Computational noise in reward-guided learning drives behavioral variability in volatile environments, Nat Neurosci, 22, 2066, 10.1038/s41593-019-0518-9
Stella, 2019, Hippocampal reactivation of random trajectories resembling Brownian diffusion, Neuron, 102, 450, 10.1016/j.neuron.2019.01.052
Berlyne, 1954, A theory of human curiosity, Br J Psychol Gen Sect, 45, 180, 10.1111/j.2044-8295.1954.tb01243.x
Tria, 2015
Iacopini, 2018, Network dynamics of innovation processes, Phys Rev Lett, 120, 10.1103/PhysRevLett.120.048301
Viswanathan, 1999, Optimizing the success of random searches, Nature, 401, 911, 10.1038/44831
Brady, 2008, Visual long-term memory has a massive storage capacity for object details, Proc Natl Acad Sci U S A, 105, 14325, 10.1073/pnas.0803390105
Parkinson, 2017, Spontaneous neural encoding of social network position, Nat Hum Behav, 1, 1, 10.1038/s41562-017-0072
Da Luz, 2015, And yet it optimizes. Comment on “liberating lévy walk research from the shackles of optimal foraging” by AM Reynolds, Phys Life Rev, 14, 94, 10.1016/j.plrev.2015.07.007
Bellemare, 2016, Unifying count-based exploration and intrinsic motivation, NIPS
Jaegle, 2019, Visual novelty, curiosity, and intrinsic reward in machine learning and the brain, Curr Opin Neurobiol, 58, 167, 10.1016/j.conb.2019.08.004
Gweon, 2014, Sins of omission: children selectively explore when teachers are under-informative, Cognition, 132, 335, 10.1016/j.cognition.2014.04.013
Leonard, 2017, Infants make more attempts to achieve a goal when they see adults persist, Science, 357, 1290, 10.1126/science.aan2317
Loewenstein, 1994, The psychology of curiosity: a review and reinterpretation, Psychol Bull, 116, 75, 10.1037/0033-2909.116.1.75
Shin, 2019, Homo curious: curious or interested?, Educ Psychol Rev, 1
Wosniack, 2015, Robustness of optimal random searches in fragmented environments, Phys Rev E, 91, 10.1103/PhysRevE.91.052119
Wosniack, 2015, Efficient search of multiple types of targets, Phys Rev E, 92, 10.1103/PhysRevE.92.062135
Reynolds, 2018, Current status and future directions of Lévy walk research, Biol Open, 7, 10.1242/bio.030106
Sutton, 2018
Salganik, 2020, Measuring the predictability of life outcomes with a scientific mass collaboration, Proc Natl Acad Sci U S A, 10.1073/pnas.1915006117
Bartumeus, 2007, Lévy processes in animal movement: an evolutionary hypothesis, Fractals, 15, 151, 10.1142/S0218348X07003460
Bellmund, 2018, Navigating cognition: spatial codes for human thinking, Science, 362, 10.1126/science.aat6766
Garvert, 2017, A map of abstract relational knowledge in the human hippocampal-entorhinal cortex, Elife, 6, 10.7554/eLife.17086
Solomon, 2019, Hippocampal theta codes for distances in semantic and temporal spaces, Proc Natl Acad Sci U S A, 116, 24343, 10.1073/pnas.1906729116
Lomholt, 2008, Lévy strategies in intermittent search processes are advantageous, Proc Natl Acad Sci U S A, 105, 11055, 10.1073/pnas.0803117105
Palyulin, 2014, Lévy flights do not always optimize random blind search for sparse targets, Proc Natl Acad Sci U S A, 111, 2931, 10.1073/pnas.1320424111
Inzlicht, 2018, The effort paradox: effort is both costly and valued, Trends Cogn Sci, 22, 337, 10.1016/j.tics.2018.01.007
Kenett, 2017, The semantic distance task: quantifying semantic distance with semantic network path length, J Exp Psychol: Learn Mem Cogn, 43, 1470
Rosvall, 2008, Maps of random walks on complex networks reveal community structure, Proc Natl Acad Sci U S A, 105, 1118, 10.1073/pnas.0706851105
Momennejad, 2017, The successor representation in human reinforcement learning, Nat Hum Behav, 1, 680, 10.1038/s41562-017-0180-8
Falk, 2013, What is a representative brain? Neuroscience meets population science, Proc Natl Acad Sci U S A, 110, 17615, 10.1073/pnas.1310134110
Thompson, 2018
Tolman, 1948, Cognitive maps in rats and men, Psychol Rev, 55, 189, 10.1037/h0061626
Collins, 2019, Reinforcement learning: bringing together computation and cognition, Curr Opin Behav Sci, 29, 63, 10.1016/j.cobeha.2019.04.011
Momennejad, 2020, Learning structures: predictive representations, replay, and generalization, Curr Opin Behav Sci, 32, 155, 10.1016/j.cobeha.2020.02.017
Stachenfeld, 2017, The hippocampus as a predictive map, Nat Neurosci, 20, 1643, 10.1038/nn.4650
Gershman, 2015, Novelty and inductive generalization in human reinforcement learning, Topics Cogn Sci, 7, 391, 10.1111/tops.12138
Friston, 2017, Active inference, curiosity and insight, Neural Comput, 29, 2633, 10.1162/neco_a_00999
Zurn, 2020, Network architectures supporting learnability, Philos Trans R Soc B, 375, 10.1098/rstb.2019.0323
van Kesteren, 2020, How to optimize knowledge construction in the brain, NPJ Sci Learn, 5, 5, 10.1038/s41539-020-0064-y
Chai, 2020, Evolution of semantic networks in biomedical texts, J Complex Netw, 8
Karuza, 2016, Local patterns to global architectures: influences of network topology on human learning, Trends Cogn Sci, 20, 629, 10.1016/j.tics.2016.06.003
Schapiro, 2016, Statistical learning of temporal community structure in the hippocampus, Hippocampus, 26, 3, 10.1002/hipo.22523
Karuza, 2017, Process reveals structure: how a network is traversed mediates expectations about its architecture, Sci Rep, 7, 1, 10.1038/s41598-017-12876-5
Lynn, 2020, Abstract representations of events arise from mental errors in learning and memory, Nat Commun, 11, 2313, 10.1038/s41467-020-15146-7
Kahn, 2018, Network constraints on learnability of probabilistic motor sequences, Nat Hum Behav, 2, 936, 10.1038/s41562-018-0463-8
Lynn, 2020, How humans learn and represent networks, Natl Acad Sci, 10.1073/pnas.1912328117
Collins, 2017, The cost of structure learning, J Cogn Neurosci, 29, 1646, 10.1162/jocn_a_01128
Schmidhuber, 2008, Driven by compression progress: a simple principle explains essential aspects of subjective beauty, novelty, surprise, interestingness, attention, curiosity, creativity, art, science, music, jokes, 48
Karuza, 2019, Human sensitivity to community structure is robust to topological variation, Complexity, 2019, 10.1155/2019/8379321
Howard, 2002, A distributed representation of temporal context, J Math Psychol, 46, 269, 10.1006/jmps.2001.1388
Zhou, 2020
Carruthers, 2017, Are epistemic emotions metacognitive?, Philos Psychol, 30, 58, 10.1080/09515089.2016.1262536
Sims, 2014, Hierarchical random walks in trace fossils and the origin of optimal search behavior, Proc Natl Acad Sci U S A, 111, 11073, 10.1073/pnas.1405966111
Wosniack, 2017, The evolutionary origins of Lévy walk foraging, PLoS Comput Biol, 13, 10.1371/journal.pcbi.1005774
Addicott, 2017, A primer on foraging and the explore/exploit trade-off for psychiatry research, Neuropsychopharmacology, 42, 1931, 10.1038/npp.2017.108
Kang, 2009, The wick in the candle of learning: epistemic curiosity activates reward circuitry and enhances memory, Psychol Sci, 20, 963, 10.1111/j.1467-9280.2009.02402.x
Chiew, 2018, Motivational valence alters memory formation without altering exploration of a real-life spatial environment, PLoS One, 10.1371/journal.pone.0193506
Tompson, 2020, Functional brain network architecture supporting the learning of social networks in humans, NeuroImage, 116498, 10.1016/j.neuroimage.2019.116498
Constantinescu, 2016, Organizing conceptual knowledge in humans with a gridlike code, Science, 352, 1464, 10.1126/science.aaf0941
Mok, 2019, A non-spatial account of place and grid cells based on clustering models of concept learning, Nat Commun, 10.1038/s41467-019-13760-8
Schuck, 2019, Sequential replay of nonspatial task states in the human hippocampus, Science, 364, 10.1126/science.aaw5181
Mattar, 2018, Prioritized memory access explains planning and hippocampal replay, Nat Neurosci, 21, 1609, 10.1038/s41593-018-0232-z
Sormaz, 2018, Default mode network can support the level of detail in experience during active task states, Proc Natl Acad Sci U S A, 115, 9318, 10.1073/pnas.1721259115
Summerfield, 2020, Structure learning and the posterior parietal cortex, Prog Neurobiol, 184, 101717, 10.1016/j.pneurobio.2019.101717
Mack, 2020, Ventromedial prefrontal cortex compression during concept learning, Nat Commun, 11, 1, 10.1038/s41467-019-13930-8
Dohmatob, 2018, Dark control: towards a unified account of default mode function by Markov decision processes, bioRxiv, 148890
Heusser, 2018, How is experience transformed into memory?, bioRxiv, 409987
Sizemore, 2018, Knowledge gaps in the early growth of semantic networks, Nat Hum Behav, 2, 682, 10.1038/s41562-018-0422-4
Mitchell, 2013, Gendered citation patterns in international relations journals, Int Stud Perspect, 14, 485, 10.1111/insp.12026
Dion, 2018, Gendered citation patterns across political science and social science methodology fields, Polit Anal, 26, 312, 10.1017/pan.2018.12
Caplar, 2017, Quantitative evaluation of gender bias in astronomical publications from citation counts, Nat Astron, 1
Maliniak, 2013, The gender citation gap in international relations, Int Organ, 67, 889, 10.1017/S0020818313000209
Dworkin, 2020, The extent and drivers of gender imbalance in neuroscience reference lists, Nat Neurosci, 23, 918, 10.1038/s41593-020-0658-y
Zhou, 2020