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Showing papers on "Cognitive network published in 1999"


Journal ArticleDOI
TL;DR: With RKRL, cognitive radio agents may actively manipulate the protocol stack to adapt known etiquettes to better satisfy the user's needs and transforms radio nodes from blind executors of predefined protocols to radio-domain-aware intelligent agents that search out ways to deliver the services the user wants even if that user does not know how to obtain them.
Abstract: Software radios are emerging as platforms for multiband multimode personal communications systems. Radio etiquette is the set of RF bands, air interfaces, protocols, and spatial and temporal patterns that moderate the use of the radio spectrum. Cognitive radio extends the software radio with radio-domain model-based reasoning about such etiquettes. Cognitive radio enhances the flexibility of personal services through a radio knowledge representation language. This language represents knowledge of radio etiquette, devices, software modules, propagation, networks, user needs, and application scenarios in a way that supports automated reasoning about the needs of the user. This empowers software radios to conduct expressive negotiations among peers about the use of radio spectrum across fluents of space, time, and user context. With RKRL, cognitive radio agents may actively manipulate the protocol stack to adapt known etiquettes to better satisfy the user's needs. This transforms radio nodes from blind executors of predefined protocols to radio-domain-aware intelligent agents that search out ways to deliver the services the user wants even if that user does not know how to obtain them. Software radio provides an ideal platform for the realization of cognitive radio.

9,238 citations


01 Jan 1999
TL;DR: Some approaches to analysis and visualisation of large networks implemented in programPajek are presented and some typical examples are also given.
Abstract: Large networks, having thousands of vertices and lines, can be found in many different areas, e. g: genealogies, flo w graphs of programs, molecule, computer networks, transportation networks, social networks, intra/inter organisational networks ... Many standard network algorithms are very time and space consuming and therefore unsuitable for analysis of such networks. In the article we present some approaches to analysis and visualisation of large networks implemented in programPajek. Some typical examples are also given.

1,505 citations


Proceedings ArticleDOI
08 Nov 1999
TL;DR: It is shown how learning can support intelligent behavior of cognitive packets in a cognitive packet networks in which intelligent capabilities for routing and flow control are concentrated in the packets, rather than in the nodes and protocols.
Abstract: We propose cognitive packet networks (CPN) in which intelligent capabilities for routing and flow control are concentrated in the packets, rather than in the nodes and protocols. Cognitive packets within a CPN route themselves. They are assigned goals before entering the network and pursue these goals adaptively. Cognitive packets learn from their own observations about the network and from the experience of other packets with whom they exchange information via mailboxes. Cognitive packets rely minimally on routers. This paper describes CPN and shows how learning can support intelligent behavior of cognitive packets.

189 citations


Proceedings ArticleDOI
08 Nov 1999
TL;DR: A dynamic cognitive network (DCN) is presented which is a systematic extension of the fuzzy cognitive map (FCM) and enables DCN to carry out inferences via numerical calculation instead of symbolic deduction.
Abstract: We present a dynamic cognitive network (DCN) which is a systematic extension of the fuzzy cognitive map (FCM). Each concept in a dynamic cognitive network can have its own value set, depending on how precisely it needs to be described in the network. This enables the dynamic cognitive network to describe the strength of the cause and the degree of the effect. This ability also enables DCN to carry out inferences via numerical calculation instead of symbolic deduction. The arcs of DCN define dynamic relationships between concepts and describe the causal procedures. DCN overcomes the problems of FCM without losing the essential advantages.

44 citations


Journal Article
TL;DR: The result in this paper supports the credibility of the GNN algorithm for a class of combinatorial optimization problems for NPcomplete broadcast scheduling problems in packet radio (PR) networks.

27 citations


Patent
12 Nov 1999
TL;DR: In this article, a radio communication CPU 89 controls each section by using network setting information in a network setting storage section 86 of the radio communication equipment 3 included in a short distance radio communication network to set a connection relation with a communication network.
Abstract: PROBLEM TO BE SOLVED: To simplify the setting or the like of a network for the connection of each portable equipment constituting a radio LAN system to the Internet or the like. SOLUTION: A radio communication CPU 89 controls each section by using network setting information in a network setting storage section 86 of the radio communication equipment 3 included in a short distance radio communication network to set a connection relation with a communication network (e.g. the Internet) so as to control transmission reception of data to/from a device included in a communication network via the short distance radio communication network.

22 citations


Proceedings ArticleDOI
01 Jan 1999
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 that 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 that 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.

13 citations


Patent
28 Apr 1999
TL;DR: In this paper, the authors propose a radio communication system that supports a large number of different radio carrier networks which have a single or central multiplex network gateway and contains a multiplex gateway 214.
Abstract: PROBLEM TO BE SOLVED: To improve cost efficiency by connecting each of plural radio network carriers, using the types of different networks and the connection of protocols to the network of a computer by means of an air link constituted with respect to the type of the prescribed network and the combination of the protocols. SOLUTION: A communication system 200 is a radio communication system, providing access to the Internet to radio communication equipment 202, 204 and 206. The respective radio communication equipment 202, 204 and 206 are connected to the communication system 200 through different carrier networks. The communication system 200 supports a large number of different radio carrier networks which have a single or central multiplex network gateway and contains a multiplex network gateway 214. The multiplex network gateway 214 contains air links for the respective carrier networks. COPYRIGHT: (C)2000,JPO

7 citations


Journal ArticleDOI
TL;DR: A cognitive model and its underlying software architecture for an autonomous mobile robot, able to move among people in civilian environments, for carrying out assistive tasks, is presented, focusing on the integration of the different necessary cognitive components.
Abstract: This paper faces the problem of devising an efficient cognitive architecture for an autonomous mobile robot. The reference scenario is that of a service robot, able to move among people in civilian environments, for carrying out assistive tasks. Examples are night surveillance tasks in large buildings like museums, exhibitions, banks and warehouses; transporting things; escorting people in departments, and exhibitions. A common characteristic of these situations is an intrinsic trade-off between complexity and predictability. From one point of view, in fact, the environment may change in time and space; from the other side, a large amount of relevant situations can be classified a priori, as well as the most part of the topological and geometrical characteristics of the environment. In this paper, a cognitive model and its underlying software architecture for such robots are presented, focusing the attention on the integration of the different necessary cognitive components: tel: +39 010 353 2801; fax: +39 10 353 2154 *tel: +39 010 353 2798; fax: +39 10 353 2154

5 citations


Proceedings ArticleDOI
24 Mar 1999
TL;DR: An analytical model that represents interconnection networks is shown that is useful to study the latency/load curve of communication patterns, to calculate average network delays to identify hot-spots in the network and to perform network analysis and design.
Abstract: Interconnection network modeling is an important field in order to study and understand interconnection network behaviour and its significance in telecommunication applications and distributed systems. In this paper, we show an analytical model that represents interconnection networks. The model accepts as inputs the network load consisting of the network topology, routing, and the communication pattern of the application. Any topology of any size and different parameters for the router are supported. The model outputs the latency behaviour of the interconnection network for each channel on each link. The accuracy of the model is shown by comparison with network simulation. The model is useful to study the latency/load curve of communication patterns, to calculate average network delays to identify hot-spots in the network and to perform network analysis and design.

1 citations


Journal Article
TL;DR: This article presents a proposal of a multithreaded core for an OSI/ISO management agents including its modeling, simulation and performance evaluation, compared against another one (unthreaded core) which is the commonly adopted model by the most of the network management systems.
Abstract: This article presents a proposal of a multithreaded core for an OSI/ISO management agents including its modeling, simulation and performance evaluation. The proposed model i s compared against another one (unthreaded core) which is the commonly adopted model by the most of the network management systems. All the modeling and simulation process were done at the a gent core level. Therefore the performance evaluation do not consider any effect of the communication layers, dealing with the performance of the activities related to the core of the agents applications.