A new approach examined two aspects of chess skill, long a popular topic in cognitive science. A powerful computer‐chess program calculated the number and magnitude of blunders made by the same 23 grandmasters in hundreds of serious games of slow (“classical”) chess, regular “rapid” chess, and rapid “blindfold” chess, in which opponents transmit moves without ever seeing the actual position. Rapid chess led to substantially more and larger blunders than classical chess. Perhaps more surprisingly, the frequency and magnitude of blunders (...) did not differ in rapid versus blindfold play, despite the additional memory and visualization load imposed by the latter. We discuss the involvement of various cognitive processes in human problem‐solving and expertise, especially with respect to chess. Prior opposing views about the basis of general chess skill have emphasized the dominance of either (a) swift pattern recognition or (b) analyzing ahead, but both seem important and the controversy appears currently unresolvable and perhaps fruitless. (shrink)

We explore the formal foundations of recent studies comparing aural pattern recognition capabilities of populations of human and non-human animals. To date, these experiments have focused on the boundary between the Regular and Context-Free stringsets. We argue that experiments directed at distinguishing capabilities with respect to the Subregular Hierarchy, which subdivides the class of Regular stringsets, are likely to provide better evidence about the distinctions between the cognitive mechanisms of humans and those of other species. Moreover, the classes (...) of the Subregular Hierarchy have the advantage of fully abstract descriptive (model-theoretic) characterizations in addition to characterizations in more familiar grammar- and automata-theoretic terms. Because the descriptive characterizations make no assumptions about implementation, they provide a sound basis for drawing conclusions about potential cognitive mechanisms from the experimental results. We review the Subregular Hierarchy and provide a concrete set of principles for the design and interpretation of these experiments. (shrink)

Understanding how look-ahead search and pattern recognition interact is one of the important research questions in the study of expert problem solving. This paper examines the implications of the template theory Gobet & Simon, 1996a , a recent theory of expert memory, on the theory of problem solving in chess. Templates are chunks Chase & Simon, 1973 that have evolved into more complex data structures and that possess slots allowing values to be encoded rapidly. Templates may facilitate search (...) in three ways: a by allowing information to be stored into LTM rapidly; b by allowing a search in the template space in addition to a search in the move space; and c by compensating loss in the minds eye due to interference and decay. A computer model implementing the main ideas of the theory is presented, and simulations of its search behaviour are discussed. The template theory accounts for the slight skill difference in average depth of search found in chess players, as well as for other empirical data. (shrink)

1 Matching Templates and Feature Analysers. 2 Modes of Perception in Left and Right Cerebral Hemispheres. 3 Identification and Recognition. 4 Chess Plying Machines.

We present a generalization of the problem of pattern recognition to arbitrary probabilistic models. This version deals with the problem of recognizing an individual pattern among a family of different species or classes of objects which obey probabilistic laws which do not comply with Kolmogorov’s axioms. We show that such a scenario accommodates many important examples, and in particular, we provide a rigorous definition of the classical and the quantum pattern recognition problems, respectively. Our framework (...) allows for the introduction of non-trivial correlations between the different species involved, opening the door to a new way of harnessing these physical resources for solving pattern recognition problems. Finally, we present some examples and discuss the computational complexity of the quantum pattern recognition problem, showing that the most important quantum computation algorithms can be described as non-Kolmogorovian pattern recognition problems. (shrink)

We develop a version of a direct perception account of emotion recognition on the basis of a metaphysical claim that emotions are individuated as patterns of characteristic features. On our account, emotion recognition relies on the same type of pattern recognition as is described for object recognition. The analogy allows us to distinguish two forms of directly perceiving emotions, namely perceiving an emotion in the absence of any top-down processes, and perceiving an emotion in a (...) way that significantly involves some top-down processes ; and, in addition, an inference-based evaluation of an emotion. Our model clarifies the epistemology of emotion recognition. (shrink)

In this work it is presented a methodology for the development of a pattern recognition system using classification methods as discriminant analysis and artificial neural networks. In this methodology, the statistical analysis is contemplated, with the purpose of retaining the observations and the important characteristics that can produce an appropriate classification, and allows, as well, to detect outliers’ observations, multicolinearity between variables, among other things. Chlorophyll a fluorescence OJIP signals measured from Pisum sativum leaves belonging to different drought (...) stress resistance groups are correctly classified using the proposed here methodology. (shrink)

As a branch of statistical latent variable modeling, multidimensional item response theory plays an important role in psychometrics. Multidimensional graded response model is a key model for the development of multidimensional computerized adaptive testing with graded-response data and multiple traits. This paper explores how to automatically identify the item-trait patterns of replenished items based on the MGRM in MCAT. The problem is solved by developing an exploratory pattern recognition method for graded-response items based on the least absolute shrinkage (...) and selection operator, which is named LPRM-GR and facilitates the subsequent parameter estimation of replenished items and helps maintaining the effectiveness of item replenishment in MCAT. In conjunction with the proposed approach, the regular BIC and weighted BIC are applied, respectively, to select the optimal item-trait patterns. Simulation for evaluating the LPRM-GR in pattern recognition accuracy of replenished items and the corresponding item estimation accuracy is conducted under multiple conditions across different numbers with respect to dimensionality, response-category numbers, latent trait correlation, stopping rules, and item selection criteria. Results show that the proposed method with the two types of BIC both have good performance in pattern recognition for item replenishment in the two- to four-dimensional MCAT with the MGRM, for which the weighted BIC is generally superior to the regular BIC. The proposed method has relatively high accuracy and efficiency in identifying the patterns of graded-response items, and has the advantages of easy implementation and practical feasibility. (shrink)

William Gibson's 1984 cyberpunk novel Neuromancer continues to be a touchstone in cultural representations of the impact of new information and communication technologies on the self. As critics have noted, the posthumanist, capital-driven, urban landscape of Neuromancer resembles a Foucaultian vision of a panoptically engineered social space in which no activity (even unofficial and illegal activity) eludes the disciplinary gaze of power. On the other hand, William Gibson's latest novel, Pattern Recognition, marks an important ideological shift from Neuromancer. (...) Though the novel retains a deep ambivalence toward new technologies' potential impact on the self, Pattern Recognition nevertheless locates a new source for hope and agency in embodied everyday experience. This article maintains that the change can best be understood as a complex transition from the worldview of Michel Foucault to that of Michel de Certeau. (shrink)

The papers included are divided into five sections: Psychology and Philosophy of Perception and Discovery, Integrations of Experimental Findings, Theoretical Developments, Experimental Results from Neurophysiology and Psychology Pertinent to Model Building, and Computer Simulations of Complex Models. The last of these sections will probably prove most interesting to the contemporary philosopher of mind. Peirce, Cassirer, and Wittgenstein are the philosophers who make the scene in the first section; inclusion of material from the last of these is no mean editorial feat. (...) The volume aims to be comprehensive rather than intensive and while this makes it ideal for the philosopher, the psychologist may find it thin in spots.—E. A. R. (shrink)

Significance appears as an alignment of stimuli, from a sea of randomly and methodically inputted or stored content into what we might call patterns in the mind. What Klaus Conrad refers to as apophenia, Micheal Shermer as patternicity and Jung as synchronicity, significance serves as synaptic moments recognizing formal elements of a thought, in many cases as individualized personal and possibly ethnocentric experience packets in the mind that have some significance to us. Finding significance in something, or associative significance between (...) things, can lead to some interesting and poetic creative forms of expression, for authors such as August Strindberg or Peter Watts. New ideas form in the mind from some origin. Apophenia, patternicity and synchronicity pose some interesting models for how the mind might process information not originating through the senses alone. Integrating the terms apophenia and ‘noetics’, this article will seek to define apophenoetics as the process and study of the way that patterns form and are processed and decoded in the mind from the sea of random content, virtual imagery and history (past/present/future), without the immediate influence of external stimuli, and could serve as a model for creativity, spiritual transcendence and connecting emotionally with others. (shrink)

Although the relations between second formant (F2) onset and F2 vowel are extremely regular and contain important information about place of articulation of the voiced stops, they are not sufficient for its identification. Using quadratic discriminant analysis of a new data set, it is shown that F3 onset and F3 vowel can also contribute substantial additional information to help identify the consonants.

"An attempt at a quantitative study of the formal aspects of the process of knowing, inferring, information, and learning" -- Preface.

The importance of intention reading for communication has already been emphasized many<br>years ago by Paul Grice. More recently, the rich debate on “theory of mind” has convinced many<br>that intention reading may in fact play a key role also in current, cognitively oriented theories of<br>pragmatics: Relevance Th eory is a case in point. On a close analysis, however, it is far from clear<br>that RT may really accommodate the idea that intention reading drives comprehension. Here<br>I examine RT’s diffi culties with that idea, (...) and propose a framework where intention reading is<br>actually assigned a signifi cant role. Th is framework is compatible with RT’s account of a unifi ed,<br>automatic mechanism of interpretation in lexical pragmatics, to the extent that the account<br>shares many features of associative and constraint-based explanations of other linguistic phenomena.<br>In fact, my suggestion is that our sensitivity to others’ intentions depends crucially on the<br>availability of specifi c patterns of intentional behaviour grounded in social regularities. In other<br>words, intention reading would be just a case, though a very special one, of pattern recognition. (shrink)

François Jullien’s idea of landscape in Chinese philosophy and art is taken from the refinement of highly literate writers and artists, unrelated to the techniques of location that find good sites and make places in landscape. This article is based on a study of fengshui (Chinese geomancy). It argues that fengshui is a practice of identifying not things or beings but moments and circumstances of a client. It works with an epistemology of pattern recognition, which is based on (...) observation and experience but does not test the truth of the signs that are the means of recognizing patterns. This epistemology of pattern recognition is not peculiarly Chinese but can also be found in building, urban planning, and the art of medical diagnosis. (shrink)

In this paper, we propose some transfor mations based on the centroid points between single valued neutrosophic numbers. We introduce these trans formations according to truth, indeterminacy and falsity value of single valued neutrosophic numbers. We propose a new similarity measure based on falsity value between single valued neutrosophic sets. Then we prove some properties on new similarity measure based on falsity value between falsity value between single valued neutrosophic sets. Furthermore, we propose similarity measure based on falsity value between (...) single valued neutrosophic sets based on the centroid points of transformed single valued neutrosophic numbers. We also apply the proposed similarity measure between single valued neutrosophic sets to deal with pattern recognition problems. (shrink)

We propose the cosine similarity measures for intuitionistic fuzzy linguistic sets and interval-valued intuitionistic fuzzy linguistic sets, which are expressed by the linguistic scale function based on the cosine function. Then, the weighted cosine similarity measure and the ordered weighted cosine similarity measure for IFLSs and IVIFLSs are introduced by taking into account the importance of each element, and the properties of the cosine similarity measures are also given. The main advantage of the proposed cosine similarity measures is that the (...) decision-makers can flexibly select the linguistic scale function depending on the actual semantic situation. Finally, we present the application of the cosine similarity measures for intuitionistic fuzzy linguistic term sets and interval-valued intuitionistic fuzzy linguistic term sets to pattern recognition and medical diagnosis, and the existing cosine similarity measures are compared with the proposed cosine similarity measures by the illustrative example. (shrink)

Ballard et al.'s principle of deictic coding as exemplified in the analysis of fixation patterns relies on a functional dichotomy between foveal and extrafoveal vision based on the well-known dependency of spatial resolution on eccentricity. Experimental evidence suggests that for processes of pattern learning and recognition such a dichotomy may be less warranted because its manifestation depends on the learning state of the observer. This finding calls for an explicit consideration of learning mechanisms within deictic coding schemes.

Tmagists' hold that inferential thinking is built up from combinations of sensory and sensorimotor images in various patterns and modalities, and that the images are a more basic mental and neurophysiological operation than the logical thinking and conceptualization that are built up front them. 'Computationalists' hold just the opposite view — that images result from previous inferential processing which is more basic than the images. Suppose we define inference as the kind of thought process that we actually undergo when we (...) do logical thinking, and not in the trivial sense in which any natural phenomenon which receives an 'input' from another then 'responds' to this 'input'. And suppose we define an 'image ' as any instance of imagining what it would be like to entertain some conscious state which we are not undergoing at the time — as for example when we imagine what it would be like to see something, to ride a roller coaster or to have a headache. I. e., 'images ' can be kinaesthetic and proprioceptive s well as sensory. Then it can be shown that inferential thinking is built up from patterns of images, including importantly the imaging of rhythm patterns corresponding to logical syntax. Furthermore, the acquisition of these inference rules can also be traced to a process of trying to imagine scenarios which might serve as counterexamples to the rules, and this kind of 'imagining ' can also be explained in terms of both sensory and proprioceptive images. The reason for this is twofold: First, even the apparently 'imageless ' concepts used to imagine such scenarios consist in each case of a feeling of preparedness to entertain a pattern of images which would be appropriate to provide a directly or indirectly ostensive definition of the concept in question, and this feeling of preparedness can be sensed proprioceptively. Secondly, a concept, even if it is not experienced as involving imagery, may nonetheless occur as an element of a larger pattern whose rhythm can be imaged. This paper defends an expanded version of the imagist approach, suggesting an important pragmatic role for the proprioceptive sensing of rhythm patterns in the acquisition and use of inference skills. (shrink)

Philosophical Perspectives, Volume 35, Issue 1, Page 404-418, December 2021.