Data are presented that focus on the nature and development of argumentative reasoning. In particular our study describes how support for or against an issue affects memory for critical parts of an argumentative interaction, judgments of argument goodness, and the content of the reasons given in support of one view versus another. Two other factors were examined: developmental differences in argumentation skill and the conditional nature of supporting one side of an argument across varying contexts. Our results show that even (...) seven year old children can recognize, identify, and use the basic components of an argument to provide evidence for and make judgements about their favored position. Moreover, if position support is held constant across all age groups of students, seven year old children were found to give reasons and explanations that were highly similar in content and principle to college students. The same similarities held across age with respect to biases in memory and judgements of argument goodness. The primary difference between children's and college students' argument behavior lay in the side of an argument the students chose to support. Seven year old children and some eleven yearold children supported positions that impute more value to friendship and social consequences than to the maintenance and advancement of individual rights, as specified in a contract agreement. The similarities and differences across development are discussed with respect to a theory of argumentation that speaks to the importance of understanding the nature of goal conflict and a theory of intentionality in predicting how arguments will be represented and resolved. (shrink)

There is an emerging consensus that human behavior is governed by two types of processes: System 1 processes, which are quicker, automatic, and run in parallel, and System 2 processes, which are slower, more conscious, and run in serial. Among such “dual-process” theorists, however, there is disagreement about whether the premises we use in our conscious, S2 reasoning should be considered as beliefs. In this exchange, one facet that has been largely overlooked is how conscious beliefs are structurally and functionally (...) similar to episodic memories. This article will argue that the similarities between beliefs and episodic memories, specifically in light of Daniel Schacter’s widely influential constructive memory framework, highlight a heretofore unexamined empirical weakness of dispositional accounts of S2 beliefs. In addition, this perspective helps situate beliefs within our broader understanding of how information is encoded and retrieved in the brain. (shrink)

Smith gives an excellent overview on research in language evolution, in which he discusses several recent models of how linguistic systems and the cognitive capacities involved in language learning may have co‐evolved. He illustrates how combined pressures on language learning and communication/use produce compositionally structured languages. Once in place, a (culturally transmitted) communication system creates new selection pressures on the capacity for acquiring these systems.

Classical antiquity provides not just the storehouse metaphor, which postdates Plato, but also parts of the correspondence metaphor. In the fifth century B.C., Thucydides (1.22) considered the role of gist and accuracy in writing history, and Aristotle (Poetics1451b, 1460b 8–11) offered an explanation. Finally, the Greek for truth (alêtheia) means “that which is not forgotten.”.

Human agents draw a variety of inferences effortlessly, spontaneously, and with remarkable efficiency – as though these inferences were a reflexive response of their cognitive apparatus. Furthermore, these inferences are drawn with reference to a large body of background knowledge. This remarkable human ability seems paradoxical given the complexity of reasoning reported by researchers in artificial intelligence. It also poses a challenge for cognitive science and computational neuroscience: How can a system of simple and slow neuronlike elements represent a large (...) body of systemic knowledge and perform a range of inferences with such speed? We describe a computational model that takes a step toward addressing the cognitive science challenge and resolving the artificial intelligence paradox. We show how a connectionist network can encode millions of facts and rules involving n-ary predicates and variables and perform a class of inferences in a few hundred milliseconds. Efficient reasoning requires the rapid representation and propagation of dynamic bindings. Our model (which we refer to as SHRUTI) achieves this by representing (1) dynamic bindings as the synchronous firing of appropriate nodes, (2) rules as interconnection patterns that direct the propagation of rhythmic activity, and (3) long-term facts as temporal pattern-matching subnetworks. The model is consistent with recent neurophysiological evidence that synchronous activity occurs in the brain and may play a representational role in neural information processing. The model also makes specific psychologically significant predictions about the nature of reflexive reasoning. It identifies constraints on the form of rules that may participate in such reasoning and relates the capacity of the working memory underlying reflexive reasoning to biological parameters such as the lowest frequency at which nodes can sustain synchronous oscillations and the coarseness of synchronization. (shrink)

This article examines how cultural schema theory has been employed to explore some aspects of Aboriginal English oral discourse. The merit of this approach lies in the explanatory tools provided by cultural schema theory in accounting for those features of oral discourse in Aboriginal English which are distinctive and which often impair its lucidity to non-Aboriginal speakers. In particular, we have focused on the exploration of recurrent semantic and formal patterning across a large body of narratives, evidence of speakers' use (...) of indigenous schemas in associative responses as well as in processing oral narrative, and schema maintenance in discourse in non-traditional settings and in the context of non-traditional subjects. (shrink)

This article proposes that Goffman's "Frame Analysis" can be interpreted as a step toward unpacking the idea of context. His analysis implies a recursive model involving frames within frames. The key problem is that neither Goffman nor anyone else has clearly defined what is meant by a frame. I propose that it can be represented by a word, phrase, or proposition. A subjective context can be represented as an assembly of these items, joined together by operators such as and, since, (...) if, not, and then. Furthermore, this model can be combined with the recursive levels of mutual awareness in earlier approaches to consensus. The combination would represent the inter subjective context: it can be used to find the minimum amount of background that would allow consensual interpretations of discourse. It could also construct a chain that links discourse to the institutional level, the micro-macro pathway from word and gesture to social structure. Goffman hinted that mathematical notation might be used to represent a frame assembly. By adding levels of awareness to such notation, it could represent social facts. Because the use of vernacular words rather than concepts is a problem in social science, Goffman's approach has a general as well as a particular significance. (shrink)

According to simulationism, the function of episodic memory is not to remember the past, but to help construct representations of possible future episodes, by drawing together features from different experiential sources. This article suggests that the relationship between the traditional storehouse view, on which the function of memory is remembering, and the simulationist approach is more complicated than has been typically acknowledged. This is attributed, in part, to incorrect interpretations of what remembering on the storehouse view requires. Further, by appeal (...) to function pluralism, the article questions both the assumption that the traditional view and simulationism are inconsistent, and the simulationist’s inference to the best explanation strategy that is based upon this assumption. The article then provides an evaluation of the simulationist argument against the traditional view, and finds it in need of further support. (shrink)

To believe is to possess a wide variety of dispositions pertinent to the proposition believed. Among those dispositions are self-ascriptive dispositions. Consequently, being disposed to self-ascribe belief that P is partly constitutive of believing that P. Such self-ascriptive dispositions can be underwritten by any of a variety of mechanisms, acting co-operatively or competitively. But since self-ascriptive dispositions are only partly constitutive of belief, there can be cases in which the self-ascriptive dispositions splinter away from the remaining dispositions. It is then (...) an empirical question how often our self-ascriptive dispositions diverge from the remaining dispositions constitutive of belief. The dispositions will tend to align reliably when possession of the belief in question is normatively neutral, straightforwardly connected to behavior, and most centrally manifested in explicit assertions or judgments. When these three conditions are not met, self-ascription, self-conscious avowal, sincere utterance, and explicit judgment will often diverge from the various other dispositions constitutive of belief. Even self-knowledge of explicit judgment can be problematic when we are attracted to half-empty forms of words or when we are not entirely persuaded of what we are saying. (shrink)

The correspondence metaphor is useful in developing functional models of memory. However, the storehouse metaphor is still useful in developing structural and process models of memory. Traditional research techniques explore the structure of memory; everyday techniques explore the function of memory. We illustrate this point with two examples: amnesia and metamemory. In each phenomenon, both metaphors are useful.

Declarative memory abilities change across adulthood. Semantic memory and autobiographic episodic knowledge can remain stable or even increase from mid- to late adulthood, while episodic memory abilities decline in later adulthood. Although it is well known that prior knowledge influences new learning, it is unclear whether the experiential growth of knowledge and memory traces across the lifespan may drive favorable adaptations in some basic memory processes. We hypothesized that an increased reliance on memory integration may be an adaptive mechanism to (...) handle increased interference from accumulating memory traces and knowledge across adulthood. In turn, this may confer an improved ability for integration, observable in middle-age, before the onset of major aging-related declines. We further tested whether the hypothesized increase would be associated with previously observed reductions in memory discrimination performance in midlife. Data from a sample of healthy middle-aged and younger adults did not support the hypothesis of improved integration, as assessed by an associative inference paradigm. Instead, age-equivalent performance on both integration and discrimination measures were observed [Bayes factors 10 = 0.19–0.25], along with expected higher verbal knowledge and slower perceptual speed for middle-aged [10 = 8.52–73.52]. The results contribute to an increased understanding of memory processing in midlife, an understudied portion of the lifespan, and suggest that two core episodic memory processes, integration and discrimination, can be maintained in healthy middle-aged adults. (shrink)

The foundations of AI design discourse are worth analyzing. Here, attention is paid to the nature of theory languages used in designing new AI technologies because the limits of these languages can clarify some fundamental questions in the development of AI. We discuss three types of theory language used in designing AI products: formal, computational, and natural. Formal languages, such as mathematics, logic, and programming languages, have fixed meanings and no actual-world semantics. They are context- and practically content-free. Computational languages (...) use terms referring to the actual world, i.e., to entities, events, and thoughts. Thus, computational languages have actual-world references and semantics. They are thus no longer context- or content-free. However, computational languages always have fixed meanings and, for this reason, limited domains of reference. Finally, unlike formal and computational languages, natural languages are creative, dynamic, and productive. Consequently, they can refer to an unlimited number of objects and their attributes in an unlimited number of domains. The differences between the three theory languages enable us to reflect on the traditional problems of strong and weak AI. (shrink)

This book presents, in method, logical form, and philosophical content, a counterproposal to mainstream personal identity theory. The lotter's purported conflation of logical questions, i.e. reidentification with characterization, leads to an implausible reductionism about selves. A self-constituting narrative is the basis for identity, and contra reductionism, the ontological primitive of a person. As a dynamic valuational and intentional system, the narrative meaningfully constructs the autobiographical past through memory and both causally directs and emotively anticipates the experiences and form of future (...) selves. Schechtman's account, in contrast to mainstream theories, rightly connects identity to those four features that weigh heavily in our values, viz. survival, self-concern, responsibility, and compensation. Though bold and original, the account dispels a couple of important issues along with its rejection of mainstream theory. These issues, encountered most notably through fission cases, are taken up in the evaluation with a “narrative split”. (shrink)

This analysis explores theories of recollective memories and their shortcomings to show how certain recollective memories are to some extent the initial experiencing of past conscious mental states. While dedicated memory theorists over the past century show remembering to be an active and subjective process, they usually make simplistic assumptions regarding the experience that is remembered. Their treatment of experience leaves unexplored the notion that the truth of memory is a dynamic interaction between experience and recollection. The argument's seven sections (...) examine how experience, consciousness, and the self produce memories in odd but actual situations. Examples are presented that are either actual or technologically possible, and they pose a challenge for some theories of memory. Showing that an experience and a memory must be bound by psychological continuity, the sections build upon each other to challenge aprioristic beliefs about the self and consciousness. The later sections examine the lack of available accounts of memory that acknowledge consciousness, dissociation, and "selfhood" to be matters of degree, thus rendering memory theories next to useless when trying to effectively incorporate the notions of experience and reality. (shrink)

A theory of categorization is presented in which knowledge of causal relationships between category features is represented in terms of asymmetric and probabilistic causal mechanisms. According to causal‐model theory, objects are classified as category members to the extent they are likely to have been generated or produced by those mechanisms. The empirical results confirmed that participants rated exemplars good category members to the extent their features manifested the expectations that causal knowledge induces, such as correlations between feature pairs that are (...) directly connected by causal relationships. These expectations also included sensitivity to higher‐order feature interactions that emerge from the asymmetries inherent in causal relationships. Quantitative fits of causal‐model theory were superior to those obtained with extensions to traditional similarity‐based models that represent causal knowledge either as higher‐order relational features or “prior exemplars” stored in memory. (shrink)

Warning against warnings: Alerted subjects may perform worse. Misinformation, involvement and warning as determinants of witness testimony The article presents experiments exploring the memory misinformation effect. Subjects heard a recording and afterwards read a description of it, which included, in the misled group, some details inconsistent with the recording; finally thay answered questions about the recording. The aim of the research was to replicate the tainted truth effect, consisting in poor memory functioning of non-misled warned subjects and to check whether (...) a subject's involvement in the issue moderates this effect. Highly involved subjects were more resistant to the misinformation effect than those lowly involved. In the case of highly involved participants, warning was effective in reducing the misinformation effect, but it also caused more errors in the case of non-misled subjects. Thus, warning witnesses about nonexising discrepancies between what they saw/heard and what they were told, might lead to less accurate testimony. (shrink)

It is often assumed that cognitive science is built upon folk psychology, and that challenges to folk psychology are therefore challenges to cognitive science itself. We argue that, in practice, cognitive science and folk psychology treat entirely non-overlapping domains: cognitive science considers aspects of mental life which do not depend on general knowledge, whereas folk psychology considers aspects of mental life which do depend on general knowledge. We back up our argument on theoretical grounds, and also illustrate the separation between (...) cognitive scientific and folk psychological phenomena in a number of cognitive domains. We consider the methodological and theoretical significance of our arguments for cognitive science research. (shrink)