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Showing papers on "Cognitive network published in 2000"


01 Jan 2000
TL;DR: This article briefly reviews the basic concepts about cognitive radio CR, and the need for software-defined radios is underlined and the most important notions used for such.
Abstract: An Integrated Agent Architecture for Software Defined Radio. Rapid-prototype cognitive radio, CR1, was developed to apply these.The modern software defined radio has been called the heart of a cognitive radio. Cognitive radio: an integrated agent architecture for software defined radio. Http:bwrc.eecs.berkeley.eduResearchMCMACR White paper final1.pdf. The cognitive radio, built on a software-defined radio, assumes. Radio: An Integrated Agent Architecture for Software Defined Radio, Ph.D. The need for software-defined radios is underlined and the most important notions used for such. Mitola III, Cognitive radio: an integrated agent architecture for software defined radio, Ph.D. This results in the set-theoretic ontology of radio knowledge defined in the. Cognitive Radio An Integrated Agent Architecture for Software.This article first briefly reviews the basic concepts about cognitive radio CR. Cognitive Radio-An Integrated Agent Architecture for Software Defined Radio. Cognitive Radio RHMZ 2007. Software-defined radio SDR idea 1. Cognitive radio: An integrated agent architecture for software.Cognitive Radio SOFTWARE DEFINED RADIO, AND ADAPTIVE WIRELESS SYSTEMS2 Cognitive Networks. 3 Joseph Mitola III, Cognitive Radio: An Integrated Agent Architecture for Software Defined Radio Stockholm.

3,814 citations


Proceedings ArticleDOI
04 Jan 2000
TL;DR: The Cognitive Network Model is proposed, a causal model of creative solution generation for problem solving domains that is grounded in mechanisms of human cognition which are hypothesized to exist within all individuals, regardless of their intelligence level, socio-economic status, or other variable, personal attributes.
Abstract: Creativity is a vital component of problem solving, yet despite decades of creativity research, many of the techniques for increasing creative production still lack compelling theoretical and causal foundations. This paper defines a Cognitive Network Model, a causal model of creative solution generation for problem solving domains. This model is grounded in mechanisms of human cognition which are hypothesized to exist within all individuals, regardless of their intelligence level, socio-economic status, or other variable, personal attributes. Guided by the model, we outline a new Group Support System (GSS) based technique called directed brainstorming. We propose the Cognitive Network Model is useful for explaining the effectiveness of existing creativity techniques, and may represent a basis from which new techniques and technologies for enhancing the creative output of problem-solvers can be developed.

79 citations


Journal ArticleDOI
TL;DR: Cognitive Vulnerability to Depression as discussed by the authors examines the most current and comprehensive theories of depression vulnerability and evaluates the existing empirical landscape, and identifies the essential core features, scientific assumptions, and relational concepts that are crucial to the understanding of vulnerability.
Abstract: Cognitive Vulnerability to Depression. Rick E. Ingram, Jeanne Miranda, and Zindel V. Segal. New York: Guilford Press (www.guilford.com). 1998, 330 pp., $40.00 (hardcover). Primarily for clinical scientists and students in doctoral research programs, this landmark volume examines the most current and comprehensive theories of depression vulnerability and evaluates the existing empirical landscape. The authors, each an accomplished researcher in his or her own right, have collaborated to investigate how the vast and often conflicting literature on depressive psychopathology can be understood from a methodologically sensitive vantage point. More than 60 studies relevant to depression vulnerability are examined and compared. Results from these studies are integrated into a detailed developmental model of depression vulnerability. This book represents a true milestone in the application of scientific rigor and clinical insight to the problem of depression, and should not be missed by anyone serious about treating or understanding depression. A BRIEF OVERVIEW Chapter 1 offers a refreshing short course in experimental cognitive science, including such central concepts as representation, learning, information processing, and behavioral meditation. Historical background is traced from Wundt to Bandura, Bower, Mandler, Anderson, and beyond. Cognition is very broadly defined, with an emphasis on the interaction of multiple systems. A taxonomic categorization of experimental cognitive constructs is presented in a highly organized fashion. Good coverage is given to concepts such as neural networks, capacity limitations, automatic versus effortful processing, levels of processing, selective information processing, schema-driven processing, cognitive availability vs. cognitive accessibility, and situated cognition. Chapter 2 provides a good general overview of current knowledge about depression. Background is presented about epidemiology, prevelance, course, subtypes, demographics, genetics, comorbidity, influences of social support, and responses to treatment. This chapter seems entirely appropriate for an introductory graduate course in general psychopathology. Chapter 3 delves more deeply into cognitive theories of depression. Theories are didactically categorized according to their emphasis on cognitive products (e.g., Rational Emotive Behavioral theory, Learned Helplessness/Hopelessness theory), cognitive operations (e.g., Self-focused Attention theory, Ruminative Response Style theory), or cognitive structures and propositions (e.g., Cognitive Schema theory, Anaclitic/Introjective & Autonomous/Sociotropic typologies, Self-Worth Contingency theory, Cognitive Network theories, and Interacting Cognitive Subsystems theory). The descriptions and explanations of these theories are detailed and well articulated, covering conceptual issues, empirical status and remaining controversies. Consistent themes among all the theories are highlighted, including cognitive distortion, the concept of self, and the casual status of cognition. This chapter provides an excellent overview of the present status of cognitive theory in the study of depression. Chapter 4 provides a masterful and epistemologically rigorous overview of the more general concept of vulnerability in psychopathology. After tracing the most important historical developments in the concept of vulnerability, this chapter identifies the essential core features, scientific assumptions, and relational concepts that are crucial to the understanding of vulnerability. In a thorough analysis of the constructs of risk, stress, resilence, and latent variables, the authors argue that vulnerability is best viewed as the final common pathway through which risk factors (including stress) are expressed in a disorder. The authors recommend that by more precisley specifying the casual pathways of vulnerability hypotheses that are scientifically falsifiable. …

32 citations


01 Jan 2000
TL;DR: For instance, the authors argues that the networks defined in this paper have all the symbolic qualities of mentalese, so maybe the mind uses "networks all the way down".
Abstract: The paper develops the leading idea of Word Grammar and other "cognitive" theories of language, which is that language is a network. It reviews some of the consequences of this view: spreading activation, effects of conceptual distance, default inheritance, the unity of grammar and lexicon and, more generally, nonmodularity; the unity of permanent and temporary representations, degrees of accessibility and binary relations. It then shows briefly how these ideas apply to two specific areas of language analysis: the contrast between polysemy and homonymy, and the treatment of regular and irregular morphology. The last section discusses Pinker's contrast between "mentalese" and "connectoplasm", and argues that the networks defined in this paper have all the symbolic qualities of mentalese, so maybe the mind uses "networks all the way down".

12 citations


Proceedings ArticleDOI
13 Jul 2000
TL;DR: This work suggests and uses an object oriented fuzzy cognitive map (OOFCM) to describe a communication network for the purpose of fault and performance monitoring and suggests an OOFCM is more expressive and allows modeling the communication network domain more naturally.
Abstract: Fuzzy cognitive maps provide a modeling language and associated inference of scenarios from a domain. Modeling a communication network for performance or fault analysis involves capturing the dynamic model of a network. These involve capturing network events and also network concepts. Network modeling also involves uncertainties about configuration and differing network contexts. We suggest and use an object oriented fuzzy cognitive map (OOFCM) to describe a communication network for the purpose of fault and performance monitoring. An OOFCM is more expressive and allows modeling the communication network domain more naturally. They allow reusability of classes, allow encoding network hierarchies and also help capture dependencies between network entities.

3 citations


Journal ArticleDOI
TL;DR: It is shown how much penalty in the network diameter should be sustained if a network component fails, and the detailed node structure, diameter and performance cost analysis, and fault tolerance of the proposed network are presented.

2 citations