Similarity-based Account Research Articles

The Problem of Modal Epistemic Friction, Similarity, Essence and Induction

Abstract Vaidya & Wallner [2021] have recently formulated the Problem of Modal Epistemic Friction (PMEF) for three of the most discussed accounts in the epistemology of modality: conceivability-based, counterfactual-based and deduction-based accounts. They propose essentialist solutions in all three cases, arguing that all three discussed accounts should be supplemented by a suitable epistemology of essence. In this paper I argue that the PMEF also applies to Roca-Royes’ similarity-based account in the epistemology of modality. I also discuss if or to what extent the version of the PMEF that applies to Roca-Royes can be given an essentialist solution. With regard to this question, I argue that besides the inductivist variant of the similarity-based account that Roca-Royes favors, there might also be an essentialist variant that would be successful in at least some cases. As for Roca-Royes’ inductivist variant I argue that the PMEF ultimately boils down to the notorious Problem of Induction. I shall discuss a popular solution to the Problem of Induction and the role essences might play in it.

Inductive Knowability of the Modal

Abstract This paper scrutinises the limits of a posteriori induction in acquiring modal knowledge. I focus on my similarity-based account (Roca-Royes [2017]); an inductive, non-rationalist epistemology of modality about concrete entities. Despite the explanatory merits of the account in relation to a vast range of modal claims, this inductive epistemology has been found incapable of yielding knowledge of a certain, other range of modal claims. Here, two notions of knowability are distinguished which reveal some of these limitations to be not only accidental to the method but also virtuous. Additionally, the scrutiny suggests a recipe for increasingly pushing back, as modal enquirers, some of these limits. Limits will irremediably remain. But, as modal epistemologists, it is to explain what lies beyond these irremediable limits (not within) that we should look somewhere else.

Generalized perceptual adaptation to second-language speech: Variability, similarity, and intelligibilitya).

Recent work on perceptual learning for speech has suggested that while high-variability training typically results in generalization, low-variability exposure can sometimes be sufficient for cross-talker generalization. We tested predictions of a similarity-based account, according to which, generalization depends on training-test talker similarity rather than on exposure to variability. We compared perceptual adaptation to second-language (L2) speech following single- or multiple-talker training with a round-robin design in which four L2 English talkers from four different first-language (L1) backgrounds served as both training and test talkers. After exposure to 60 L2 English sentences in one training session, cross-talker/cross-accent generalization was possible (but not guaranteed) following either multiple- or single-talker training with variation across training-test talker pairings. Contrary to predictions of the similarity-based account, adaptation was not consistently better for identical than for mismatched training-test talker pairings, and generalization patterns were asymmetrical across training-test talker pairs. Acoustic analyses also revealed a dissociation between phonetic similarity and cross-talker/cross-accent generalization. Notably, variation in adaptation and generalization related to variation in training phase intelligibility. Together with prior evidence, these data suggest that perceptual learning for speech may benefit from some combination of exposure to talker variability, training-test similarity, and high training phase intelligibility.

Getting Serious about Shared Features.

In Simulation and Similarity, Michael Weisberg offers a similarity-based account of the model–world relation, which is the relation in virtue of which successful models are successful. Weisberg’s main idea is that models are similar to targets in virtue of sharing features. An important concern about Weisberg’s account is that it remains silent on what it means for models and targets to share features, and consequently on how feature-sharing contributes to models’ epistemic success. I consider three potential ways of concretizing the concept of shared features: as identical, quantitatively sufficiently close, and sufficiently similar features. I argue that each of these concretizations faces significant challenges, leaving unclear how Weisberg’s account substantially contributes to elucidating the relation in virtue of which successful models are successful. Against this background, I outline a pluralistic revision and argue that this revision may not only help Weisberg's account evade several of the problems that I raise, but also offers a novel perspective on the model–world relation more generally. 1Introduction2Weisberg’s Feature-Sharing Account3What Is a Shared Feature? 3.1Identity3.2Sufficient closeness3.3Sufficient similarity4Turning Weisberg’s Account ‘Upside Down’5Conclusion

Inductive generalization with familiar categories: developmental changes in children's reliance on perceptual similarity and kind information.

Inductive generalization is ubiquitous in human cognition; however, the factors underpinning this ability early in development remain contested. The present study was designed to (1) test the predictions of the naïve theory and a similarity-based account and (2) examine the mechanism by which labels promote induction. In Experiment 1, 3- to 5-year-old children made inferences about highly familiar categories. The results were not fully consistent with either theoretical account. In contrast to the predictions of the naïve theory approach, the youngest children in the study did not ignore perceptually compelling lures in favor of category-match items; in contrast to the predictions of the similarity-based account, no group of participants favored perceptually compelling lures in the presence of dissimilar-looking category-match items. In Experiment 2 we investigated the mechanisms by which labels promote induction by examining the influence of different label types, namely category labels (e.g., the target and category-match both labeled as bird) and descriptor labels (e.g., the target and the perceptual lure both labeled as brown) on induction performance. In contrast to the predictions of the naïve theory approach, descriptor labels but not category labels affected induction in 3-year-old children. Consistent with the predictions of the similarity-based account, descriptor labels affected the performance of children in all age groups included in the study. The implications of these findings for the developmental account of induction are discussed.

Transitional Gradation in the Mind: Rethinking Psychological Kindhood

I here critique the application of the traditional, similarity-based account of natural kinds to debates in psychology. A challenge to such accounts of kindhood—familiar from the study of biologica...

Island constraints and overgeneralization in language acquisition

AbstractAmbridge and Goldberg (2008) found that long distance dependency (LDD) questions (e.g., Who did she mumble that she saw?) do not seem to be formed by analogy with similar, more frequent sentences of the same type (e.g., What do you think X?; What did he say X?), but, rather, that such questions are acceptable to the extent that the main verb backgrounds the complement clause (e.g., say>mumble). Kalyan (2012) argued that this finding is compatible with a similarity-based account, provided that similarity between the verb and say/think is defined as similarity in the extent to which the verb backgrounds the complement clause. In the present article, I argue that Kalyan (2012) is correct, and that this phenomenon can be seen as an instance of a broader phenomenon whereby the fit between the properties of a particular item (e.g., a verb) and those of a particular construction slot (e.g., the VERB slot in the LDD question construction) is the primary determinant of the degree of (un)grammaticality of a possible generalization.

Development of inductive generalization with familiar categories.

Inductive generalization is ubiquitous in human cognition. In the developmental literature, two different theoretical accounts of this important process have been proposed: a naïve theory account and a similarity-based account. However, a number of recent findings cannot be explained within the existing theoretical accounts. We describe a revised version of the similarity-based account of inductive generalization with familiar categories. We tested the novel predictions of this account in two reported studies with 4-year-old children (N = 57). The reported studies include the first short-term longitudinal investigation of the development of children's induction with familiar categories, and it is the first study to explore the role of individual differences in semantic organization, general intelligence, working memory, and inhibition in children's induction.

Concurrence of rule- and similarity-based mechanisms in artificial grammar learning

A current theoretical debate regards whether rule-based or similarity-based learning prevails during artificial grammar learning (AGL). Although the majority of findings are consistent with a similarity-based account of AGL it has been argued that these results were obtained only after limited exposure to study exemplars, and performance on subsequent grammaticality judgment tests has often been barely above chance level. In three experiments the conditions were investigated under which rule- and similarity-based learning could be applied. Participants were exposed to exemplars of an artificial grammar under different (implicit and explicit) learning instructions. The analysis of receiver operating characteristics (ROC) during a final grammaticality judgment test revealed that explicit but not implicit learning led to rule knowledge. It also demonstrated that this knowledge base is built up gradually while similarity knowledge governed the initial state of learning. Together these results indicate that rule- and similarity-based mechanisms concur during AGL. Moreover, it could be speculated that two different rule processes might operate in parallel; bottom-up learning via gradual rule extraction and top-down learning via rule testing. Crucially, the latter is facilitated by performance feedback that encourages explicit hypothesis testing.

Human learning of elemental category structures: Revising the classic result of Shepard, Hovland, and Jenkins (1961).

The findings of Shepard, Hovland, and Jenkins (1961) on the relative ease of learning 6 elemental types of 2-way classifications have been deeply influential 2 times over: 1st, as a rebuke to pure stimulus generalization accounts, and again as the leading benchmark for evaluating formal models of human category learning. The litmus test for models is the ability to simulate an observed advantage in learning a category structure based on an exclusive-or (XOR) rule over 2 relevant dimensions (Type II) relative to category structures that have no perfectly predictive cue or cue combination (including the linearly-separable Type IV). However, a review of the literature reveals that a Type II advantage over Type IV is found only under highly specific experimental conditions. We investigate when and why a Type II advantage exists to determine the appropriate benchmark for models and the psychological theories they represent. A series of 8 experiments link particular conditions of learning to outcomes ranging from a traditional Type II advantage to compelling non-differences and reversals (i.e., Type IV advantage). Common interpretations of the Type II advantage as either a broad-based phenomenon of human learning or as strong evidence for an attention-mediated similarity-based account are called into question by our findings. Finally, a role for verbalization in the category learning process is supported.

A reversal of the search asymmetry favouring negative schematic faces

Quite a number of studies have tested whether the affective valence of stimuli can guide attention in visual search. Studies using schematic affective faces frequently found a relative search asymmetry (RSA), with more efficient search for a negative face in a friendly crowd than vice versa. Whether, however, this effect relates to differences in affect or to the confounded differences in perceptual features is unknown. The present study proposes and tests a similarity-based account for the RSA. Experiments 1a and 1b first replicate the typical RSA. Experiment 2 shows that the stimulus could be simplified to some degree without losing the RSA. Experiments 3 and 4, finally, demonstrate that the RSA could be reversed by a rather simple stimulus change, that leaves the facial expression intact. It is concluded that the strong dependence of the RSA on stimulus factors seriously questions the claim that emotional factors drive the RSA.

Induction and categorization in young children: a similarity-based model.

The authors present a similarity-based model of induction and categorization in young children (SINC). The model suggests that (a). linguistic labels contribute to the perceived similarity of compared entities and (b). categorization and induction are a function of similarity computed over perceptual information and linguistic labels. The model also predicts young children's similarity judgment, induction, and categorization performance under different stimuli and task conditions. Predictions of the model were tested and confirmed in 6 experiments, in which 4- to 5-year-olds performed similarity judgment, induction, and categorization tasks using artificial and real labels (Experiments 1-4) and recognition memory tasks (Experiments 5A and 5B). Results corroborate the similarity-based account of young children's induction and categorization, and they support both qualitative and quantitative predictions of the model.

Does opposition logic provide evidence for conscious and unconscious processes in artificial grammar learning?

The question of whether studies of human learning provide evidence for distinct conscious and unconscious influences remains as controversial today as ever. Much of this controversy arises from the use of the logic of dissociation. The controversy has prompted the use of an alternative approach that places conscious and unconscious influences on memory retrieval in opposition. Here we ask whether evidence acquired via the logic of opposition requires a dual-process account or whether it can be accommodated within a single similarity-based account. We report simulations using a simple neural network model of two artificial grammar learning experiments reported by Higham, Vokey, and Pritchard (2000) that dissociated conscious and unconscious influences on classification. The simulations demonstrate that opposition logic is insufficient to distinguish between single- and multiple-system models.

The influence of referential processing on sentence complexity

This paper reports the results of five experiments designed to investigate the effects of referential processing on sentence complexity. Gibson ( Cognition, 68 (1998) 1) suggested that sentence complexity is related to the locality of integrations between dependent syntactic heads, and that an appropriate measure of locality is the number of new discourse referents intervening between the endpoints of those integrations. The experiments in this paper test, modify and extend Gibson's (1998) claims. Each experiment manipulated noun phrases (NPs) in the subject positions of object-extracted relative clauses in order to determine how different types of NPs affected sentence complexity. Experiments 1, 2 and 3 used questionnaires to gauge sentence complexity, whereas Experiments 4 and 5 used self-paced reading. The results from Experiments 1, 2, 4 and 5 suggest that the complexity of the experimental items was more closely related to the Givenness status of the embedded subject in the Givenness Hierarchy than to whether the embedded subject was old or new to the discourse. Experiment 3 compared materials in which a quantifier was rotated through subject positions of a nested relative clause structure. The results of this experiment support a discourse-processing-based distance metric for computing locality and provide evidence against a pure similarity-based account of structural complexity such as proposed by Bever (Bever, T. G. (1970). The cognitive basis of linguistic structures. In J. R. Hayes (Ed.), Cognition and the development of language (pp. 279–362). New York: Wiley).

Learning artificial grammars: no evidence for the acquisition of rules.

Two experiments investigated whether there is evidence for acquisition of rules in implicit artificial grammar learning (AGL). Two different methods were used in meeting this goal, multiple regression analysis and analysis of receiver-operating characteristics (ROCs). By means of multiple regression analysis, several types of knowledge were identified that were used in judgments of grammaticality, for example, about single letters and about larger stimulus fragments. There was no evidence for the contribution of rule knowledge. The ROCs were in accord with a similarity-based account of AGL and thus did not support the notion that rule knowledge is acquired in AGL either. Simulations with a connectionist model corroborated the conclusion that the results were in accord with a similarity-based, associative account.

Towards a similarity-based account of compatibility effects

In three experiments, the role of similarity in compatibility effects was investigated. A flanker task was used, in which two flankers (one to the left and one to the right of a centrally presented target) had opposite values on two or three dimensions. Left-right responses were based on the correspondence between the target and the flankers on one dimension. The other dimensions were irrelevant for the task. Manipulation of the overlap pattern between the target and the flankers showed that response efficiency depended on the similarity of the target to the flankers. The similarity model yielded fairly accurate quantitative predictions of reaction times. The implications of these results for theories of compatibility effects are discussed. It is argued that a similarity-based account may be superior to alternative accounts that rely on the notion of congruity.