Knowledge (XXG)

Generalization (learning)

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has learned in the past that every time they eat an apple, their throat becomes itchy and swollen, they might assume they are allergic to all fruit. When this person is offered a banana to eat, they reject it upon assuming they are also allergic to it through generalizing that all fruits cause the same reaction. Although this generalization about being allergic to all fruit based on experiences with one fruit could be correct in some cases, it may not be correct in all. Both positive and negative effects have been shown in education through learned generalization and its contrasting notion of
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is achieved by placing the perceived similarity of a stimulus on the x-axis and the strength of the response on the y-axis. For example, when measuring responses to color, it is expected that subjects will respond to colors that are similar to each other, like shades of pink after being exposed to red, as opposed to a non-similar shade of blue. The gradient is relatively predictable, with the response to similar stimuli being slightly less strong than the response to the conditioned stimulus, then steadily declining as the presented stimuli become increasingly dissimilar.
176:. In their study, an infant known as Little Albert was exposed to various kinds of animals, none of which elicited a fear response from Little Albert. However, after 7 pairings of a white rat and the sound of a hammer clanging against a steel bar (which did elicit a fear response), the 11-month old child began to cry and try to get away from the white rat even without the loud noise. Months later, additional trials showed that Little Albert had generalized his fear response to things that were similar to the white rat, including a dog, a rabbit, and a fur coat. 78:
development (such as learning to recognize specific sounds as language) that it can be hard for them to discriminate between variations of the generalized stimuli at later stages of development (such as failing to distinguish between the subtly different sounds of similar phonemes). One potential explanation for why children are such efficient learners is that they operate in accordance with the goal of making their world more predictable, therefore encouraging them to hold strongly to generalizations that effectively help them to navigate their environment.
187:. The hippocampus seems to be more involved in the development of context fear generalization (developing a generalized fear for a specific environment) than stimulus fear generalization (such as Little Albert's acquisition of a fear response to white, furry objects). The amygdala, which is associated with all types of emotional responses, is fundamental in developing a classically conditioned fear response to either a stimulus or the context in which it is found. 129:, such as the near-automatic memory processes necessary for driving a car. Without being able to generalize from previous experiences driving, a person would essentially need to relearn how to drive every time he or she encountered a new street. People who are diagnosed with NVLD - non verbal learning disorder - are known to sometimes have difficulty applying learned concept to new situations. 136:
to generalize, which is called discrimination learning. Were it not for discrimination learning, humans and animals would struggle to respond correctly to different situations. For example, a dog may be trained to come to its owner when it hears a whistle. If the dog generalizes this training, it may
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Some evidence suggests that children are born with innate processes for accurately generalizing things. For example, children tend to generalize based on taxonomic rather than thematic similarities (an experience with one ball leads to the child identifying other ball-shaped objects as “ball” rather
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In scientific studies looking at generalization, a generalization gradient is often used. This tool is used to measure how often and how much animals or humans respond to certain stimuli, depending on whether the stimuli are perceived to be similar or different. The curvilinear shape of the gradient
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the novel experience to past experiences that are similar in one or more ways. This creates a pattern of connections that allows the learner to classify and make assumptions about the novel stimulus, such as when previous experience with seeing a canary allows the learner to predict what other birds
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For a person who lacked the capacity to generalize from one experience to the next, every instance of a dog would be completely separated from other instances of dogs, so prior experience would do nothing to help the person know how to interact with this seemingly new stimulus. In fact, even if the
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use past learning in present situations of learning if the conditions in the situations are regarded as similar. The learner uses generalized patterns, principles, and other similarities between past experiences and novel experiences to more efficiently navigate the world. For example, if a person
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Several studies have suggested that generalization is a fundamental and naturally-occurring learning process for humans. Nine-month-old infants require very few (sometimes only 3) experiences with a category before learning to generalize. In fact, infants generalize so well during early stages of
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Wakefield, Hall, James, and Goldin (2018) found that children are more flexible in generalizing new verbs when they are taught the verb by observing gestures as opposed to being taught by performing the action themselves. When helping a child learn a new word, providing more examples of the word
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across multiple situations. The knowledge to be transferred is often referred to as abstractions, because the learner abstracts a rule or pattern of characteristics from previous experiences with similar stimuli. Generalization allows humans and animals to recognize the similarities in knowledge
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person experienced the very same dog multiple times, he or she would have no way of knowing what to expect and each instance would be as if the individual were encountering a dog for the first time. Therefore, generalization is a valuable and integral part of learning and everyday life.
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to similar situations, events, people, and objects in their present. This is important for the survival of the organism; humans and animals need to be able to assess aversive situations and respond appropriately based on generalizations made from past experiences.
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Without the ability to generalize, it would likely be very difficult to navigate the world in a useful way. For example, generalization is an important part of how humans learn to trust unfamiliar people and a necessary element in language acquisition.
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Hier, B. O., Eckert, T. L., Viney, E. A., & Meisinger, E. (2019). Generalization and maintenance effects of writing fluency intervention strategies for elementary-age students: A randomized controlled trial. School Psychology Review, 48(4), 377.
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increases the child's capacity to generalize the word to different contexts and situations. Furthermore, writing interventions for grade-school students yield better results when the intervention actively targets generalization as an outcome.
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approach. Just as artificial intelligences learn to distinguish between different categories by applying past learning to novel situations, humans and animals generalize previously learned properties and patterns onto new situations, thus
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FeldmanHall, O., Dunsmoor, J. E., Tompary, A., Hunter, L. E., Todorov, A., & Phelps, E. A. (2018). Stimulus generalization as a mechanism for learning to trust. Proceedings of the National Academy of Sciences, 115(7).
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Boddez, Y., Bennett, M. P., van Esch, S., & Beckers, T. (2017). Bending rules: the shape of the perceptual generalisation gradient is sensitive to inference rules. Cognition & Emotion, 31(7), 1444–1452.
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inhibited generalization. In more recent years, this forgetting has been seen as promoting generalization through repetition of information during each occasion of spaced learning. The effects of gaining
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Wakefield, E. M., Hall, C., James, K. H., & Goldin, M. S. (2018). Gesture for generalization: gesture facilitates flexible learning of words for actions on objects. Developmental Science, 21(5), 1.
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generalization knowledge through spaced learning can be compared with that of massed learning (lengthy and all at once; for example, cramming the night before an exam) in which a person only gains
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Cherry, K. (2019, November 26). How stimulus generalization influences learning. Retrieved from https://www.verywellmind.com/what-is-stimulus-generalization-2795885
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Goldstein, B. E. (2015). Cognitive psychology: connecting mind research and everyday experience. W. Ross MacDonald School Resource Services Library.
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not discriminate between the sound of the whistle and other stimuli, so it would come running to its owner when it hears any high-pitched noise.
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The Editors of Encyclopaedia Britannica. (2019, September 30). Generalization. Retrieved from https://www.britannica.com/topic/generalization
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Banich, M. T., Dukes, P., & Caccamise, D. (2010). Generalization of knowledge: Multidisciplinary perspectives. Psychology Press.
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in educational settings. In the past, it was thought that the information forgotten between periods of learning when implementing
509:"The Spacing Effect in Children's Generalization of Knowledge: Allowing Children Time to Forget Promotes Their Ability to Learn" 165:. Overgeneralization is hypothetically attributed to “dysregulation of prefrontal-amygdalo-hippocampal circuitry” (Banich, 162: 145:
A specific type of generalization, fear generalization, occurs when a person associates fears learned in the past through
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Characterizing the generalization of various learning algorithms is an active topic of current research, especially for
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Fenn, KM; Nusbaum, HC; Margoliash, D (2003). "Consolidation during sleep of perceptual learning of spoken language".
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acquired in one circumstance, allowing for transfer of knowledge onto new situations. This idea rivals the theory of
161:. This maladaptation is often referred to as the overgeneralization of fear and can also lead to the development of 23: 297: 173: 172:
One of the earliest studies about fear generalization in humans was conducted by Watson and Raynor (1920): the
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Not all of generalization's effects are beneficial, however. An important part of learning is knowing when
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Dymond, Simon; Dunsmoor, Joseph E.; Vervliet, Bram; Roche, Bryan; Hermans, Dirk (September 2015).
596:"Fear Generalization in Humans: Systematic Review and Implications for Anxiety Disorder Research" 489: 429: 49: 667: 618: 573:
Asok, A., Kandel, E. R., & Rayman, J. B. (2019). The neurobiology of fear generalization.
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will be like. This categorization is a foundational aspect of generalizing.
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Generalization has been shown to be refined and/or stabilized after sleep.
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Concept on humans' and animals' use of past learning in present situations
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knowledge, decreasing the likelihood of establishing generalization.
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than labeling a bat as “ball” because a bat is used to hit a ball).
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Experience, variation and generalization: Learning a first language
638:"Adult Hippocampal Neurogenesis, Fear Generalization, and Stress" 298:"Generalization and the Effects of Consequences | Education.com" 125:
Generalization is also considered to be an important factor in
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Generalization is shown to have implications on the use of the
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Gluck, Mark A.; Mercado, Eduardo; Myers, Catherine E. (2014).
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Gluck, Mark A.; Mercado, Eduardo; Myers, Catherine E. (2014).
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Gluck, Mark A.; Mercado, Eduardo; Myers, Catherine E. (2011).
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Generalization can be supported and partly explained by the
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Brain regions involved in fear generalization include the
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Generalization is understood to be directly tied to the
542:Learning and memory : from brain to behavior 346:Learning and memory : from brain to behavior 239:Learning and memory : from brain to behavior 22:is the concept that humans, other animals, and 636:Besnard, Antoine; Sahay, Amar (12 June 2015). 333:https://doi.org/10.1080/02699931.2016.1230541 8: 393:https://doi.org/10.17105/SPR-2017-0123.V48-4 661: 524: 296:Walker, J. E.; Shea, T. M.; Bauer, A.M. 229: 464:Arnon, I.; Clark, E. V., eds. (2011). 282: 280: 278: 7: 575:Frontiers in Behavioral Neuroscience 276: 274: 272: 270: 268: 266: 264: 262: 260: 258: 507:Vlach, Haley A. (September 2014). 380:https://doi.org/10.1111/desc.12656 191:Generalization in machine learning 14: 198:Machine learning § Generalization 153:When fear generalization becomes 476:10.1111/j.1540-4781.2012.01368.x 196:This section is an excerpt from 513:Child Development Perspectives 1: 583:doi: 10.3389/fnbeh.2018.00329 163:posttraumatic stress disorder 692:Learning theory (education) 708: 615:10.1016/j.beth.2014.10.001 195: 69:Research on generalization 24:artificial neural networks 174:Little Albert experiment 157:it is connected to many 642:Neuropsychopharmacology 453:10.1073/pnas.1715227115 29:discrimination learning 147:classical conditioning 218:Chunking (psychology) 169:, 2010, p. 21). 654:10.1038/npp.2015.167 418:10.1038/nature01951 141:Fear generalization 111:spaced presentation 526:10.1111/cdep.12079 50:situated cognition 302:www.education.com 159:anxiety disorders 127:procedural memory 699: 676: 675: 665: 633: 627: 626: 603:Behavior Therapy 600: 591: 585: 571: 565: 562: 556: 555: 537: 531: 530: 528: 504: 498: 497: 461: 455: 444: 438: 437: 401: 395: 388: 382: 375: 369: 366: 360: 359: 341: 335: 328: 322: 319: 313: 312: 310: 308: 293: 287: 284: 253: 252: 234: 707: 706: 702: 701: 700: 698: 697: 696: 682: 681: 680: 679: 635: 634: 630: 598: 593: 592: 588: 572: 568: 563: 559: 552: 539: 538: 534: 506: 505: 501: 486: 463: 462: 458: 445: 441: 412:(6958): 614–6. 403: 402: 398: 389: 385: 376: 372: 367: 363: 356: 343: 342: 338: 329: 325: 320: 316: 306: 304: 295: 294: 290: 285: 256: 249: 236: 235: 231: 226: 214: 209: 208: 201: 193: 143: 95: 71: 37: 17: 12: 11: 5: 705: 703: 695: 694: 684: 683: 678: 677: 628: 609:(5): 561–582. 586: 566: 557: 550: 532: 519:(3): 163–168. 499: 485:978-9027234773 484: 456: 439: 396: 383: 370: 361: 354: 336: 323: 314: 288: 254: 247: 228: 227: 225: 222: 221: 220: 213: 210: 202: 194: 192: 189: 142: 139: 107:spacing effect 94: 91: 70: 67: 36: 33: 20:Generalization 15: 13: 10: 9: 6: 4: 3: 2: 704: 693: 690: 689: 687: 673: 669: 664: 659: 655: 651: 647: 643: 639: 632: 629: 624: 620: 616: 612: 608: 604: 597: 590: 587: 584: 580: 576: 570: 567: 561: 558: 553: 551:9781429240147 547: 543: 536: 533: 527: 522: 518: 514: 510: 503: 500: 495: 491: 487: 481: 477: 473: 469: 468: 460: 457: 454: 450: 443: 440: 435: 431: 427: 423: 419: 415: 411: 407: 400: 397: 394: 387: 384: 381: 374: 371: 365: 362: 357: 355:9781429240147 351: 347: 340: 337: 334: 327: 324: 318: 315: 303: 299: 292: 289: 283: 281: 279: 277: 275: 273: 271: 269: 267: 265: 263: 261: 259: 255: 250: 248:9781429240147 244: 240: 233: 230: 223: 219: 216: 215: 211: 206: 205:deep learning 199: 190: 188: 186: 182: 177: 175: 170: 168: 164: 160: 156: 151: 148: 140: 138: 135: 130: 128: 123: 121: 117: 112: 108: 103: 99: 92: 90: 87: 83: 79: 75: 68: 66: 63: 58: 57:connectionism 53: 51: 46: 42: 34: 32: 30: 25: 21: 648:(1): 24–44. 645: 641: 631: 606: 602: 589: 578: 574: 569: 560: 541: 535: 516: 512: 502: 466: 459: 442: 409: 405: 399: 386: 373: 364: 345: 339: 326: 317: 305:. Retrieved 301: 291: 238: 232: 178: 171: 152: 144: 133: 131: 124: 104: 100: 96: 93:Implications 88: 84: 80: 76: 72: 61: 54: 38: 19: 18: 207:algorithms. 185:hippocampus 155:maladaptive 224:References 120:short-term 62:connecting 116:long-term 45:knowledge 686:Category 672:26068726 623:26459838 494:60234960 426:14534586 212:See also 183:and the 181:amygdala 41:transfer 35:Overview 663:4677119 670:  660:  621:  548:  492:  482:  434:904751 432:  424:  406:Nature 352:  245:  167:et al. 599:(PDF) 490:S2CID 430:S2CID 307:5 May 668:PMID 619:PMID 546:ISBN 480:ISBN 422:PMID 350:ISBN 309:2016 243:ISBN 658:PMC 650:doi 611:doi 521:doi 472:doi 449:doi 414:doi 410:425 134:not 43:of 688:: 666:. 656:. 646:41 644:. 640:. 617:. 607:46 605:. 601:. 581:. 579:12 577:, 515:. 511:. 488:. 478:. 470:. 428:. 420:. 408:. 300:. 257:^ 31:. 674:. 652:: 625:. 613:: 554:. 529:. 523:: 517:8 496:. 474:: 451:: 436:. 416:: 358:. 311:. 251:. 200:.

Index

artificial neural networks
discrimination learning
transfer
knowledge
situated cognition
connectionism
spacing effect
spaced presentation
long-term
short-term
procedural memory
classical conditioning
maladaptive
anxiety disorders
posttraumatic stress disorder
et al.
Little Albert experiment
amygdala
hippocampus
Machine learning § Generalization
deep learning
Chunking (psychology)
ISBN
9781429240147





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