Aligning Logical and Psychological Contributions to the Understanding of Human Reasoning

Modern logic is an abstract study of consequence rather than a mechanistic study of reasoning. This abstract view has much to offer psychological studies of the representations which implement human reasoning. This paper reviews recent results showing the abstract equivalence of all the main psychological competence models of syllogistic reasoning. Their apparently contrasting representations are computationally equivalent for the kind of data presented. The true empirical contrasts between theories lie in other details of implementation — in whether integrated representations are constructed and in the sequence of cases considered. These contrasts are independent of sentential, graphical or mental model representation.Logic is also a guide to representation requirements. Linear syllogism models are representable by sequences of tokens, whereas categorial syllogism models generally require attribute binding. However, one consequence of the present semantic analysis is that all categorial syllogism competence models converge on an algorithm which avoids representation of more than a single sequence.The paper goes on to consider what evidence could distinguish the representations implementing reasoning in working memory. The example of dual task paradigms is considered and some conceptual questions are raised about the identification of the modalities of working memory subsystems with linguistic and spatial representations. Carefully distinguishing memory medium from memory interpretation leads to the conclusion that it is the interpretation of the contents of memory which determines whether it holds spatial or linguistic information. It is argued that the critical dimension for understanding reasoning processes is the expressiveness of interpretation of representations.     

The role of information about "convention," "design," and "goal" in representing artificial kinds

In this chapter, we have considered the nature and development of our capacities for the representation of artificial kinds. We have presented a range of evidence collected using varying methods and from our own laboratories and those of others that speaks to the question of the kinds of information that might be central to knowledge of artifacts and their functions in human semantic memory. One key argument here has been that despite the fact that information about shared convention has been argued to play an important role in understanding of the "proper" uses of artifacts, just as it does in the case of the use of linguistic symbols within language communities, there are important differences between the two cases, and indeed across development, decisions about categories and functions dissociate. We have argued here that the nonarbitrary relationship between the material kind and mechanical structure of artifacts and the functions that can be supported undercuts the force of information about convention as important to determining proper artifact function. Shared convention appears less important for determining this facet of our semantic memory for artifacts than it does in supporting the proper relationship between linguistic symbols and the categories of artifact to which they refer.     

Semantic heuristics,syntactic analysis,and case-role assignment

Forster's (1979) proposals regarding the autonomy of syntax and his explanation of experiments that support the alternative interactive theory of syntactic analysis are briefly reviewed. It is argued that a slightly different account is consistent with evidence from neuropsychology. On the basis of the work of Linebarger, Schwartz, and Saffran (1983) with agrammatics, a distinction is drawn between a sentence's syntactic representation and its propositional representation. The suggestion is that the processor responsible for assigning case roles within a proposition has access to semantic and pragmatic information as well as to a purely syntatic representation. In this way, certain top-down effects in sentence processing can be comfortably accommodated without violating the autonomy of the syntactic representation.     

Performance structures: A psycholinguistic and linguistic appraisal

Two lines of research—one in psycholinguistics and one in linguistics—are combined to deal with a long-standing problem in both fields: why the “performance structures” of sentences (structures based on experimental data, such as pausing and parsing values) are not fully accountable for by linguistic theories of phrase structure. Two psycholinguistic algorithms that have been used to predict these structures are described and their limitations are examined. A third algorithm, based on the prosodic structures of sentences is then proposed and shown to be a far better predictor of performance structures. It is argued that the experimental data reflect aspects of the linguistic cognitive capacity, and that, in turn, linguistic theory can offer an illuminating account of the data. The prosodic model is shown to have a wider domain of application than temporal organization per se, accounting for parsing judgments as well as pausing performance, and reflecting aspects of syntactic and semantic structure as well as purely prosodic structure. Finally, the algorithm is discussed in light of language processing.     

Classifying Human Long-term Memory: Evidence from Converging Dissociations

This paper reviews the support for multiple human long-term memory systems that is provided by experimental findings of dissociations reported in the literature. Four putative systems are examined: episodic, semantic, perceptual representation (PRS) and procedural memory. The four systems are contrasted for four different forms of dissociations (functional, developmental, pharmacological and brain damage). At least one example of 23 of the 24 different types of dissociations is described. It is argued that this evidence from converging dissociations provides support for the existence of multiple long-term memory systems. The studies reviewed provide some hints about the critical neural substrates of different systems. This neuroanatomical information was compared and found to be consistent with the results of available functional neuroimaging studies.     

TURNING REPRESENTATION INSIDE OUT: AN ADVERBIAL APPROACH TO THE METAPHYSICS OF LANGUAGE AND MIND

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No grammatical gender effect on affective ratings: evidence from Italian and German languages

In this study, we tested the linguistic relativity hypothesis by studying the effect of grammatical gender (feminine vs. masculine) on affective judgments of conceptual representation in Italian and German. In particular, we examined the within- and cross-language grammatical gender effect and its interaction with participants’ demographic characteristics (such as, the raters’ age and sex) on semantic differential scales (affective ratings of valence, arousal and dominance) in Italian and German speakers. We selected the stimuli and the relative affective measures from Italian and German adaptations of the ANEW (Affective Norms for English Words). Bayesian and frequentist analyses yielded evidence for the absence of within- and cross-languages effects of grammatical gender and sex- and age-dependent interactions. These results suggest that grammatical gender does not affect judgments of affective features of semantic representation in Italian and German speakers, since an overt coding of word grammar is not required. Although further research is recommended to refine the impact of the grammatical gender on properties of semantic representation, these results have implications for any strong view of the linguistic relativity hypothesis.     

Linguistic focus and good-enough representations: An application of the change-detection paradigm

A number of lines of study suggest that word meanings are not always fully exploited in comprehension. In two experiments, we used a text-change paradigm to study depth of semantic processing during reading. Participants were instructed to detect words that changed across two consecutive presentations of short texts. The results suggest that the full details of word meanings are not always incorporated into the interpretation and that the degree of semantic detail in the representation is a function of linguistic focus. The results provide evidence for the idea that representations are only good enough for the purpose at hand (Ferreira, Bailey, & Ferraro, 2002).     

The bidirectionality of judgments of synonymy

This article reports an experiment and some observations on synonymy between sentences. The rationale derives from experimental evidence for the existence of a nonverbal, abstract semantic memory, and for the mutual deducibility of two synonymous sentences. In the first phase of the experiment, subjects ranked interpretations of proverbs in terms of their semantic distance from their proverb bases. In the second phase, different groups of subjects ranked proverbs, including the phase 1 original proverbs and some foils, in terms of their semantic distance from the interpretations. The results indicate that two synonymous sentences tend to be given similar rankings, linearly related, and that subjects are highly consensual in their rankings. It is argued that a deep structure account cannot explain the results and that, furthermore, available linguistic and psychological theories of meaning are likewise insufficient. Synonymy is discussed in terms of an event or operation which serves to restrict interpretation.     

What do category-specific semantic deficits tell us about the representation of lexical concepts?

A reassessment of category-specific semantic deficits in light of their contribution to a theory of the representation of lexical concepts is proposed. Two theories are examined: one, held by the majority of researchers in the field, claims that concepts are represented by sets of features; another, in contrast, claims that concepts are atomic representations. An analysis of category-specific semantic deficits in terms of inferential relations (of the meaning-postulates type) between atomic concepts is elaborated. It is argued that this theory can better account for the pattern of performance exhibited by patients with semantic deficits.     

Information retrieval with semantic memory model

Psycholinguistic theories of semantic memory form the basis of understanding of natural language concepts. These theories are used here as an inspiration for implementing a computational model of semantic memory in the form of semantic network. Combining this network with a vector-based object-relation-feature value representation of concepts that includes also weights for confidence and support, allows for recognition of concepts by referring to their features, enabling a semantic search algorithm. This algorithm has been used for word games, in particular the 20-question game in which the program tries to guess a concept that a human player thinks about. The game facilitates lexical knowledge validation and acquisition through the interaction with humans via supervised dialog templates. The elementary linguistic competencies of the proposed model have been evaluated assessing how well it can represent the meaning of linguistic concepts. To study properties of information retrieval based on this type of semantic representation in contexts derived from on-going dialogs experiments in limited domains have been performed. Several similarity measures have been used to compare the completeness of knowledge retrieved automatically and corrected through active dialogs to a “golden standard”. Comparison of semantic search with human performance has been made in a series of 20-question games. On average results achieved by human players were better than those obtained by semantic search, but not by a wide margin.     

Semantic Challenges to Scientific Realism

This paper is concerned with connections between scientific and metaphysical realism. It is not difficult to show that scientific realism, as expounded by Psillos (1999) clearly qualifies as a kind of metaphysical realism in the sense of Putnam (1980). The statement of scientific realism therefore must not only deal with underdetermination and the dynamics of scientific theories but also answer the semantic challenges to metaphysical realism. As will be argued, the common core of these challenges is the proposition that a (metaphysical) realist semantics leads to semantic agnosticism in the sense that we are unable to grasp the proper meanings and referents of our linguistic expressions. Having established this, I will focus more specifically on the question of whether scientific realism—in its state-of-the-art account—has the resources to make reference to scientific concepts intelligible such that the semantic challenges can be answered.     

Direct visual access in reading for meaning

Two experiments examined whether phonological receding is an obligatory stage in reading for meaning or whether direct access to a word's semantic representation is the general rule. The first study demonstrated that the time to make a semantic decision about a pair of words was much more delayed by misspelling than was the time to make a phonological one. The second study investigated the effect of varying the syllabic length of a word on reaction time in a category decision task. While reaction time varied with the semantic difficulty of the category decision, it generally proved invariant with respect to syllabic length. It is argued that reading for meaning generally uses a direct route from visual form to semantic representation.     

Using Language to Navigate the Infant Mind

ABSTRACT— How do infants represent objects, actions, and relations in events? In this review, we discuss an approach to studying this question that begins with linguistic theory—specifically, semantic structures in language. On the basis of recent research exploring infant cognition and prominent linguistic analyses, we examine whether infants' representations of motion events are articulated in terms of the components proposed by Talmy (1985 ; e.g., path, manner) and whether infants' event representations are defined in terms of broad semantic roles (agent, patient, source, goal) as proposed by Jackendoff (1990) and Dowty (1991) . We show how recent findings in infant cognition are consistent with the idea that the infant's representation of events is a close reflection of the linguistic categories. We especially highlight research that is explicitly guided by linguistic categories likely to have correlates in nonlinguistic cognition to illustrate the usefulness of using language to pose questions about early conceptual representations.     

Linguistic Distributional Knowledge and Sensorimotor Grounding both Contribute to Semantic Category Production

The human conceptual system comprises simulated information of sensorimotor experience and linguistic distributional information of how words are used in language. Moreover, the linguistic shortcut hypothesis predicts that people will use computationally cheaper linguistic distributional information where it is sufficient to inform a task response. In a pre-registered category production study, we asked participants to verbally name members of concrete and abstract categories and tested whether performance could be predicted by a novel measure of sensorimotor similarity (based on an 11-dimensional representation of sensorimotor strength) and linguistic proximity (based on word co-occurrence derived from a large corpus). As predicted, both measures predicted the order and frequency of category production but, critically, linguistic proximity had an effect above and beyond sensorimotor similarity. A follow-up study using typicality ratings as an additional predictor found that typicality was often the strongest predictor of category production variables, but it did not subsume sensorimotor and linguistic effects. Finally, we created a novel, fully grounded computational model of conceptual activation during category production, which best approximated typical human performance when conceptual activation was allowed to spread indirectly between concepts, and when candidate category members came from both sensorimotor and linguistic distributional representations. Critically, model performance was indistinguishable from typical human performance. Results support the linguistic shortcut hypothesis in semantic processing and provide strong evidence that both linguistic and grounded representations are inherent to the functioning of the conceptual system. All materials, data, and code are available at https://osf.io/vaq56/ .     

Using context to build semantics

Latent semantic analysis (LSA) is a model of knowledge representation for words. It works by applying dimension reduction to local co-occurrence data from a large collection of documents after performing singular value decomposition on it. When the reduction is applied, the system forms condensed representations for the words that incorporate higher order associations. The higher order associations are primarily responsible for any semantic similarity between words in LSA. In this article, a memory model is described that creates semantic representations for words that are similar in form to those created by LSA. However, instead of applying dimension reduction, the model builds the representations by using a retrieval mechanism from a well-known account of episodic memory.     

Representing logical and semantic structure of knowledge acquired from discourse

A network model of logical and semantic structures from which speakers or writers generate linguistic messages at the discourse level is presented. While linguistic structures were considered in developing the model, the semantic and logical networks are defined without reference to linguistic structures and thus may be used to represent knowledge structures acquired from both linguistic and nonlinguistic sources. A second problem addressed is that of determining what logical and semantic information is acquired when a text is understood. To assess acquired knowledge, a procedure is presented for coding a subject's verbal reconstruction of knowledge acquired from a presented text (or other input) against the logical and semantic structure from which the text (or other input) was derived. The procedures are illustrated using data obtained from children who were asked to “retell” simple narrative stories.     

God’s silence

Vagueness manifests itself (among other things) in our inability to find boundaries to the extension of vague predicates. A semantic theory of vagueness plans to justify this inability in terms of the vague semantic rules governing language and thought. According to a supporter of semantic theory, the inability to find such a boundary is not dependent on epistemic limits and an omniscient being like God would be equally unable. Williamson (Vagueness, 1994) argued that cooperative omniscient beings adequately instructed would find a precise boundary in a sorites series and that, for this reason, the semantic theory misses its target, while Hawthorne (Philosophical Studies 122:1–25, 2005) stood with the semantic theorists and argued that the linguistic behaviour of a cooperative omniscient being like God would clearly demonstrate that he does not find a precise boundary in the sorites series. I argue that Hawthorne’s definition of God’s cooperative behaviour cannot be accepted and that, contrary to what has been assumed by both Williamson and Hawthorne, an omniscient being like God cannot be a cooperative evaluator of a semantic theory of vagueness.     

Visual and Affective Multimodal Models of Word Meaning in Language and Mind

One of the main limitations of natural language-based approaches to meaning is that they do not incorporate multimodal representations the way humans do. In this study, we evaluate how well different kinds of models account for people's representations of both concrete and abstract concepts. The models we compare include unimodal distributional linguistic models as well as multimodal models which combine linguistic with perceptual or affective information. There are two types of linguistic models: those based on text corpora and those derived from word association data. We present two new studies and a reanalysis of a series of previous studies. The studies demonstrate that both visual and affective multimodal models better capture behavior that reflects human representations than unimodal linguistic models. The size of the multimodal advantage depends on the nature of semantic representations involved, and it is especially pronounced for basic-level concepts that belong to the same superordinate category. Additional visual and affective features improve the accuracy of linguistic models based on text corpora more than those based on word associations; this suggests systematic qualitative differences between what information is encoded in natural language versus what information is reflected in word associations. Altogether, our work presents new evidence that multimodal information is important for capturing both abstract and concrete words and that fully representing word meaning requires more than purely linguistic information. Implications for both embodied and distributional views of semantic representation are discussed.