Fishing with the wrong nets: How the implicit slips through the Representational Theory of Mind

1999 ◽  
Vol 22 (5) ◽  
pp. 771-771
Author(s):  
Luis Jiménez ◽  
Axel Cleeremans
Keyword(s):  
Theory Of Mind ◽  
Explicit Knowledge ◽  
Implicit Knowledge ◽  
Theory Of Knowledge ◽  
Causal Efficacy ◽  
Observable Effect ◽  
Fully Implicit ◽  
Target Article ◽  
Representational Theory Of Mind ◽  
Satisfactory Theory

Dienes & Perner's target article is not a satisfactory theory of implicit knowledge because in endorsing the representational theory of knowledge, the authors also inadvertently accept that only explicit knowledge can be causally efficacious, and hence that implicit knowledge is an inert category. This conflation between causal efficacy, knowledge, and explicitness is made clear through the authors' strategy, which consists of attributing any observable effect to the existence of representations that are as minimally explicit as needed to account for behavior. In contrast, we believe that causally efficacious and fully implicit knowledge exists, and is best embodied in frameworks that depart radically from classical assumptions.

Deconstructing RTK: How to explicate a theory of implicit knowledge

1999 ◽  
Vol 22 (5) ◽  
pp. 790-801 ◽  
Author(s):  
Josef Perner ◽  
Zoltan Dienes
Keyword(s):  
Executive Control ◽  
First Principles ◽  
Explicit Knowledge ◽  
Implicit Knowledge ◽  
Theory Of Knowledge ◽  
Memory Development ◽  
Target Article ◽  
Linguistic Representations ◽  
Implicit And Explicit ◽  
The Relationship

In this response, we start from first principles, building up our theory to show more precisely what assumptions we do and do not make about the representational nature of implicit and explicit knowledge (in contrast to the target article, where we started our exposition with a description of a fully fledged representational theory of knowledge (RTK). Along the way, we indicate how our analysis does not rely on linguistic representations but it implies that implicit knowledge is causally efficacious; we discuss the relationship between property structure implicitness and conceptual and nonconceptual content; then we consider the factual, fictional, and functional uses of representations and how we go from there to consciousness. Having shown how the basic theory deals with foundational criticisms, we indicate how the theory can elucidate issues that commentators raised in the particular application areas of explicitation, voluntary control, visual perception, memory, development (with discussion on infancy, theory of mind [TOM] and executive control, gestures), and finally models of learning.

Time and the implicit-explicit continuum

1999 ◽  
Vol 22 (5) ◽  
pp. 758-759 ◽  
Author(s):  
Jill Boucher
Keyword(s):  
Human Evolution ◽  
Developmental Disorders ◽  
Explicit Knowledge ◽  
Propositional Attitude ◽  
Implicit Knowledge ◽  
Explicit Representation ◽  
Temporal Context ◽  
Target Article ◽  
State Of Affairs ◽  
Representation Of Time

Dienes & Perner's target article contains numerous but unsystematic references to the implicit or explicit knowledge of the temporal context of a known state of affairs such as may constitute the content of a propositional attitude. In this commentary, the forms of cognition that, according to D&P, require only implicit knowledge of time are contrasted with those for which explicit temporal knowledge is needed. It is suggested that the explicit representation of time may have been important in human evolution and that certain developmental disorders including autism may be (partly) caused by defective ability to represent time.

Patterns of Implicit Learning Below the Level of Conscious Knowledge

2010 ◽  
Vol 24 (2) ◽  
pp. 91-101 ◽  
Author(s):  
Juliana Yordanova ◽  
Rolf Verleger ◽  
Ullrich Wagner ◽  
Vasil Kolev
Keyword(s):  
Implicit Learning ◽  
Explicit Knowledge ◽  
Implicit Knowledge ◽  
Knowledge Generation ◽  
Sleep Stages ◽  
Implicit Processing ◽  
Implicit Processes ◽  
Late Night ◽  
On Line ◽  
On Line Learning

The objective of the present study was to evaluate patterns of implicit processing in a task where the acquisition of explicit and implicit knowledge occurs simultaneously. The number reduction task (NRT) was used as having two levels of organization, overt and covert, where the covert level of processing is associated with implicit associative and implicit procedural learning. One aim was to compare these two types of implicit processes in the NRT when sleep was or was not introduced between initial formation of task representations and subsequent NRT processing. To assess the effects of different sleep stages, two sleep groups (early- and late-night groups) were used where initial training of the task was separated from subsequent retest by 3 h full of predominantly slow wave sleep (SWS) or rapid eye movement (REM) sleep. In two no-sleep groups, no interval was introduced between initial and subsequent NRT performance. A second aim was to evaluate the interaction between procedural and associative implicit learning in the NRT. Implicit associative learning was measured by the difference between the speed of responses that could or could not be predicted by the covert abstract regularity of the task. Implicit procedural on-line learning was measured by the practice-based increased speed of performance with time on task. Major results indicated that late-night sleep produced a substantial facilitation of implicit associations without modifying individual ability for explicit knowledge generation or for procedural on-line learning. This was evidenced by the higher rate of subjects who gained implicit knowledge of abstract task structure in the late-night group relative to the early-night and no-sleep groups. Independently of sleep, gain of implicit associative knowledge was accompanied by a relative slowing of responses to unpredictable items suggesting reciprocal interactions between associative and motor procedural processes within the implicit system. These observations provide evidence for the separability and interactions of different patterns of processing within implicit memory.

Thinking about Things

2018 ◽  
Author(s):  
Mark Sainsbury
Keyword(s):  
Theory Of Mind ◽  
Mental States ◽  
Semantic Description ◽  
President Obama ◽  
Representational Theory Of Mind

In the blink of an eye, I can redirect my thought from London to Cairo, from cookies to unicorns, from former President Obama to the mythical flying horse, Pegasus. How is this possible? How can we think about things that do not exist, like unicorns and Pegasus? Thinking About Things addresses these and related questions, taking as its framework a representational theory of mind. It explains how mental states are attributed, what their aboutness consists in, whether or not they are relational, and whether any of them involve nonexistent things like unicorns. The explanation centers on display theory, a theory of what is involved in attributing attitudes like thinking, hoping, and wanting. These attributions are intensional: some of them seem to involve nonexistent things, and they typically have semantic and logical peculiarities, like the fact that one cannot always substitute one expression for another that refers to the same thing without affecting truth. Display theory explains away these seeming anomalies. For example, substituting coreferring expressions does not always preserve truth because the correctness of an attribution depends on what concepts it displays, not on what the concepts refer to. And a concept that refers to nothing may be used in an accurate display of what someone is thinking. The book describes how concepts can be learned, originated, and given a systematic semantic description, independently of whether there exist things to which they refer. There being no things we are thinking about does not mean that we are not thinking about things.

scholarly journals Beyond paradigm: The ‘what’ and the ‘how’ of classroom research

2014 ◽  
Vol 30 (4) ◽  
pp. 551-568 ◽  
Author(s):  
Melinda Whong ◽  
Kook-Hee Gil ◽  
Heather Marsden
Keyword(s):  
Second Language ◽  
Second Language Acquisition ◽  
Language Development ◽  
Explicit Knowledge ◽  
Teaching Practice ◽  
Implicit Knowledge ◽  
Developmental Differences ◽  
Classroom Research ◽  
Language Classroom ◽  
Implicit And Explicit

This article reviews studies in second language classroom research from a cross-theoretic perspective, arguing that the classroom holds the potential for bringing together researchers from opposing theoretical orientations. It shows how generative and general cognitive approaches share a view of language that implicates both implicit and explicit knowledge, and that holds a bias towards implicit knowledge. Arguing that it is implicit knowledge that should be the object of research, it proposes that classroom research would benefit from incorporating insights from a generative understanding of language. Specifically, there is a need for a more nuanced view of the complexity of language in terms of linguistic domain, and the interaction between those domains. Generative second language acquisition research that shows developmental differences in terms of both linguistic domain and interface is reviewed. The core argument is a call for more attention to the ‘what’ of language development in classroom research and, by implication, teaching practice. As such, the language classroom is seen to offer potential for research that goes beyond paradigm to address both the ‘what’ and the ‘how’ of language development.

scholarly journals Sorte, Virtude, e Anulabilidade Epistêmica

2017 ◽  
Vol 20 (2) ◽  
pp. 179
Author(s):  
João Rizzio Vicente Fett
Keyword(s):  
Virtue Epistemology ◽  
Theory Of Knowledge ◽  
Gettier Problem ◽  
Duncan Pritchard ◽  
Satisfactory Theory ◽  
Better Than ◽  
The Gettier Problem

http://dx.doi.org/10.5007/1808-1711.2016v20n2p179 Duncan Pritchard has suggested that anti-luck epistemology and virtue epistemology are the best options to solve the Gettier problem. Nonetheless, there are challenging problems for both of them in the literature. Pritchard holds that his anti-luck virtue epistemology puts together the correct intuitions from both anti-luck epistemology and virtue epistemology and avoids their problems. Contra Pritchard, we believe that there is already a satisfactory theory on offer, namely, the defeasibility theory of knowledge. In this essay we intend (i) to examine Pritchard’s anti-luck virtue epistemology, and (ii) to defend the defeasibility theory of knowledge as an alternative to Pritchard’s theory. We will provide the reader with reasons for believing that the defeasibility theory is better than Pritchard’s theory because the former is more economic and more ecumenical than the latter, since it goes without non-epistemic notions and remains neutral as for the internalism vs. externalism debate.

scholarly journals Convergent and Distinct Effects of Multisensory Combination on Statistical Learning Using a Computer Glove

2021 ◽  
Vol 11 ◽  
Author(s):  
Christopher R. Madan ◽  
Anthony Singhal
Keyword(s):  
Statistical Learning ◽  
Visual Cues ◽  
Explicit Knowledge ◽  
Reaction Time Task ◽  
Musical Instrument ◽  
Implicit Knowledge ◽  
Auditory Cues ◽  
Motor Movements ◽  
Explicit And Implicit Knowledge ◽  
Single Modality

Learning to play a musical instrument involves mapping visual + auditory cues to motor movements and anticipating transitions. Inspired by the serial reaction time task and artificial grammar learning, we investigated explicit and implicit knowledge of statistical learning in a sensorimotor task. Using a between-subjects design with four groups, one group of participants were provided with visual cues and followed along by tapping the corresponding fingertip to their thumb, while using a computer glove. Another group additionally received accompanying auditory tones; the final two groups received sensory (visual or visual + auditory) cues but did not provide a motor response—all together following a 2 × 2 design. Implicit knowledge was measured by response time, whereas explicit knowledge was assessed using probe tests. Findings indicate that explicit knowledge was best with only the single modality, but implicit knowledge was best when all three modalities were involved.

scholarly journals Assumptions of the Process-Dissociation Procedure are Violated in Implicit Sequence Learning

2016 ◽  
Author(s):  
Marius Barth ◽  
Christoph Stahl ◽  
Hilde Haider
Keyword(s):  
Sequence Learning ◽  
Explicit Knowledge ◽  
Implicit Knowledge ◽  
Process Dissociation ◽  
Implicit Sequence Learning ◽  
Generation Task ◽  
Accurate Performance ◽  
Exclusion Condition ◽  
Implicit And Explicit ◽  
Implicit And Explicit Learning

In implicit sequence learning, a process-dissociation (PD) approach has been proposed to dissociate implicit and explicit learning processes. Applied to the popular generation task, participants perform two different task versions: inclusion instructions require generating the transitions that form the learned sequence; exclusion instructions require generating transitions other than those of the learned sequence. Whereas accurate performance under inclusion may be based on either implicit or explicit knowledge, avoiding to generate learned transitions requires controllable explicit sequence knowledge. The PD approach yields separate estimates of explicit and implicit knowledge that are derived from the same task; it therefore avoids many problems of previous measurement approaches. However, the PD approach rests on the critical assumption that the implicit and explicit processes are invariant across inclusion and exclusion conditions. We tested whether the invariance assumptions hold for the PD generation task. Across three studies using first-order as well as second-order regularities, invariance of the controlled process was found to be violated. In particular, despite extensive amounts of practice, explicit knowledge was not exhaustively expressed in the exclusion condition. We discuss the implications of these findings for the use of process-dissociation in assessing implicit knowledge.

Human Factors in Interactive Machine Learning: A Cybersecurity Case Study

2021 ◽  
Vol 65 (1) ◽  
pp. 1495-1499
Author(s):  
Mark H. Chignell ◽  
Mu-Huan Chung ◽  
Yuhong Yang ◽  
Greg Cento ◽  
Abhay Raman
Keyword(s):  
Machine Learning ◽  
Human Factors ◽  
Financial Services ◽  
Explicit Knowledge ◽  
Implicit Knowledge ◽  
Cyber Attacks ◽  
Transfer Data ◽  
Interactive Machine Learning

Cybersecurity is emerging as a major issue for many organizations and countries. Machine learning has been used to recognize threats, but it is difficult to predict future threats based on past events, since malicious attackers are constantly finding ways to circumvent defences and the algorithms that they rely on. Interactive Machine learning (iML) has been developed as a way to combine human and algorithmic expertise in a variety of domains and we are currently applying it to cybersecurity. In this application of iML, implicit knowledge about human behaviour, and about the changing nature of threats, can supplement the explicit knowledge encoded in algorithms to create more effective defences against cyber-attacks. In this paper we present the example problem of data exfiltration where insiders, or outsiders masquerading as insiders, who copy and transfer data maliciously, against the interests of an organization. We will review human factors issues associated with the development of iML solutions for data exfiltration. We also present a case study involving development of an iML solution for a large financial services company. In this case study we review work carried out on developing visualization dashboards and discussing prospects for further iML integration. Our goal in writing this paper is to motivate future researchers to consider the role of the human more fully in ML, not only in the data exfiltration and cybersecurity domain but also in a range of other applications where human expertise is important and needs to combine with ML prediction to solve challenging problems.

Sign in / Sign up

Export Citation Format

Share Document