25,212 research outputs found
Communication Primitives in Cognitive Radio Networks
Cognitive radio networks are a new type of multi-channel wireless network in
which different nodes can have access to different sets of channels. By
providing multiple channels, they improve the efficiency and reliability of
wireless communication. However, the heterogeneous nature of cognitive radio
networks also brings new challenges to the design and analysis of distributed
algorithms.
In this paper, we focus on two fundamental problems in cognitive radio
networks: neighbor discovery, and global broadcast. We consider a network
containing nodes, each of which has access to channels. We assume the
network has diameter , and each pair of neighbors have at least ,
and at most , shared channels. We also assume each node has at
most neighbors. For the neighbor discovery problem, we design a
randomized algorithm CSeek which has time complexity
. CSeek is flexible and robust,
which allows us to use it as a generic "filter" to find "well-connected"
neighbors with an even shorter running time. We then move on to the global
broadcast problem, and propose CGCast, a randomized algorithm which takes
time. CGCast uses
CSeek to achieve communication among neighbors, and uses edge coloring to
establish an efficient schedule for fast message dissemination.
Towards the end of the paper, we give lower bounds for solving the two
problems. These lower bounds demonstrate that in many situations, CSeek and
CGCast are near optimal
Toward a self-organizing pre-symbolic neural model representing sensorimotor primitives
Copyright ©2014 Zhong, Cangelosi and Wermter.This is an open-access article distributed under the terms of the Creative Commons Attribution License (CCBY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these termsThe acquisition of symbolic and linguistic representations of sensorimotor behavior is a cognitive process performed by an agent when it is executing and/or observing own and others' actions. According to Piaget's theory of cognitive development, these representations develop during the sensorimotor stage and the pre-operational stage. We propose a model that relates the conceptualization of the higher-level information from visual stimuli to the development of ventral/dorsal visual streams. This model employs neural network architecture incorporating a predictive sensory module based on an RNNPB (Recurrent Neural Network with Parametric Biases) and a horizontal product model. We exemplify this model through a robot passively observing an object to learn its features and movements. During the learning process of observing sensorimotor primitives, i.e., observing a set of trajectories of arm movements and its oriented object features, the pre-symbolic representation is self-organized in the parametric units. These representational units act as bifurcation parameters, guiding the robot to recognize and predict various learned sensorimotor primitives. The pre-symbolic representation also accounts for the learning of sensorimotor primitives in a latent learning context.Peer reviewedFinal Published versio
Cognitive Science and Psychology
The protocol algorithm abstracted from a human cognizer's own narrative in the course of doing a cognitive task is an explanation of the corresponding mental activity in Pylyshyn's (1984) virtual machine model of mind. Strong equivalence between an analytic algorithm and the protocol algorithm is an index of validity of the explanatory model. Cognitive psychologists may not find the index strong equivalence useful as a means to ensure that a theory is not circular because (a) research data are also used as foundation data, (b) there is no justification for the relationship between a tobevalidated theory and its criterion of validity, and (c) foundation data, validation criterion and tobevalidated theory are not independent in cognitive science. There is also the difficulty with not knowing what psychological primitives are
Outline of a new approach to the nature of mind
I propose a new approach to the constitutive problem of psychology ‘what is mind?’ The first section introduces modifications of the received scope, methodology, and evaluation criteria of unified theories of cognition in accordance with the requirements of evolutionary compatibility and of a mature science. The second section outlines the proposed theory. Its first part provides empirically verifiable conditions delineating the class of meaningful neural formations and modifies accordingly the traditional conceptions of meaning, concept and thinking. This analysis is part of a theory of communication in terms of inter-level systems of primitives that proposes the communication-understanding principle as a psychological invariance. It unifies a substantial amount of research by systematizing the notions of meaning, thinking, concept, belief, communication, and understanding and leads to a minimum vocabulary for this core system of mental phenomena. Its second part argues that written human language is the key characteristic of the artificially natural human mind. Overall, the theory both supports Darwin’s continuity hypothesis and proposes that the mental gap is within our own species
On the notion of motor primitives in humans and robots
This article reviews two reflexive motor patterns in
humans: Primitive reflexes and motor primitives. Both
terms coexist in the literature of motor development
and motor control, yet they are not synonyms. While
primitive reflexes are a part of the temporary motor
repertoire in early ontogeny, motor primitives refer to
sets of motor patterns that are considered basic units of
voluntary motor control thought to be present
throughout the life-span. The article provides an
overview of the anatomy and neurophysiology of
human reflexive motor patterns to elucidate that both
concepts are rooted in architecture of the spinal cord. I
will advocate that an understanding of the human
motor system that encompasses both primitive reflexes
and motor primitives as well as the interaction with
supraspinal motor centers will lead to an appreciation
of the richness of the human motor repertoire, which in
turn seems imperative for designing epigenetic robots
and highly adaptable human machine interfaces
A Conceptual Model for Scholarly Research Activity
This paper presents a conceptual model for scholarly research
activity, developed as part of the conceptual modelling work
within the ???Preparing DARIAH??? European e-Infrastructures
project. It is inspired by cultural-historical activity theory,
and is expressed in terms of the CIDOC Conceptual Reference
Model, extending its notion of activity so as to also
account, apart from historical practice, for scholarly research
planning. It is intended as a framework for structuring and
analyzing the results of empirical research on scholarly practice
and information requirements, encompassing the full
research lifecycle of information work and involving both
primary evidence and scholarly objects; also, as a framework
for producing clear and pertinent information requirements,
and specifications of digital infrastructures, tools and services
for scholarly research. We plan to use the model to tag interview
transcripts from an empirical study on scholarly information
work, and thus validate its soundness and fitness for
purpose
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