The description of the developed algorithm for optimal symbol-by-symbol reception signal structures based on frequency-efficient signals with two-dimensional «constellations» intensively used in applications and block correction codes non-binary Galois fields is given. It shown that minimizes error probability code symbol or information bit contrast to well-known maximum likelihood rule which e...

Embodied Cognition is an approach to cognition that departs from traditional cognitive science in its reluctance to conceive of cognition as computational and in its emphasis on the significance of an organism’s body in how and what the organism thinks. Three lines of embodied cognition research are described and some thoughts on the future of embodied cognition offered. The embodied cognition ...

The paper contrasts a list-based approach to interface design with a structured, analytical, taxonomic approach. The taxonomy employed categorizes behaviour in ‘orthogonal’ terms: manipulation, selection, symbol mediation. It is argued that the taxonomical approach permits more coherent design responses to the needs of special users.

Introduction HCI’s historical and intellectual roots lie in cognitive science and the central underlying philosophical claim of cognitivism, that the mind can be understood and modeled in computational terms. This perspective has underwritten an extensive empirical and theoretical program exploring the operation of the human cognitive system from a representational and information-processing pe...

This essay addresses the concerns of the foundations of mathematics of the early 20th century which led to the creation of formally axiomatized universes. These are confronted with contemporary developments, particularly in computational logic and neuroscience. Our approach uses computational models of mental experiments with the infinite in set-theory and symbol-manipulation systems, in partic...

Many computational modeling approaches of the mind seem to be characterized by an implicit strong physicalism, which frequently leads to confusion in philosophy of AI. This work aims at pointing out some fundamental aspects of this problem, both with respect to the relation between epistemological computationalism and physical realization, and the view of symbol manipulation as constrained comp...

in this study, it was intended to investigate the persian native speakers’ perception of gerunds by three different elicitation techniques i.e., written, audio, and pictorial through translation. eighty intermediate learners of english were asked to select persian translation of the gerund formsin these elicitation techniques. they were asked to choose one option from a pair of written first la...

Programming by Example (PBE) targets at automatically inferring a computer program for accomplishing a certain task from sample input and output. In this paper, we propose a deep neural networks (DNN) based PBE model called Neural Programming by Example (NPBE), which can learn from input-output strings and induce programs that solve the string manipulation problems. Our NPBE model has four neur...

The paper presents the system FRANN, which exploits the idea of radial-basis functions for the needs of learning in numeric domains under concept drift. The classiication accuracy of the program compares favourably to that of older algorithms that are based on symbol manipulation. The system tolerates noise and is able to learn symbolic, numeric , and mixed concepts with nonlinear boundaries in...

Knowledge-based signal processing combines the symbolic manipulation facilities of a'tificial inteffigence with the numerical methods of signal processing. This paper considers pitch detection as a problem for developing techniques for signal/symbol interaction. Specifically an overview of the design of the Pitch Detector's Assistant program is discussed, along with some strategies followed in ...