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Showing papers on "Cognitive network published in 1986"


Journal ArticleDOI
TL;DR: A general tool for deriving a cognitive network is described and applied to the concepts displayed and controlled on the panels of an interface to a flight management system.
Abstract: When a menu-driven interface controls information in the domain of expertise of the end users, the difficulty that inexperienced users typically have in accessing the panels they seek can be reduced by making the menu organization consistent with the user's cognitive organization. A general tool for deriving a cognitive network is described and applied to the concepts displayed and controlled on the panels of an interface to a flight management system. The cognitive network was used to select the options that would appear on each panel of three different prototypes. The prototypes differed with respect to the amount of redundancy (extra pathways) between a set of dominating panels that appeared on a primary index page and the remaining panels. A fourth prototype was based on the recommendations of a design team rather than the cognitive network derived from a sample of pilots. Four pilots were assigned to each of the four prototypes, in a training session that required the pilots to find specific...

61 citations


Journal ArticleDOI
TL;DR: The possibilities opened up by the Open Systems Interconnection (OSI) model are discussed, and it is noted that many of the protocols to implement OSI are now complete, and manufacturers offer products to implement some of the standards.
Abstract: The possibilities opened up by the Open Systems Interconnection (OSI) model are discussed. It is noted that many of the protocols to implement OSI are now complete, and manufacturers offer products to implement some of the standards. The International Organization for Standardization will continue to expand the functions covered by OSI as new communications network architectures and technologies emerge. Each of the seven layers making up the model is described. Prospects for the model's success are then surveyed.

26 citations


Book
01 Jan 1986
TL;DR: This book discusses the development of network systems, services and technologies, and the applications of these technologies and systems have changed in the past 25 years.
Abstract: NETWORK SYSTEMS AND SERVICES General Principles of Networking Local Area Networks Personal Computer Networks and Micronets Wide Area Networks Network Services NETWORK TECHNOLOGIES Network Structures Equipment Linked to Networks Transmission Technologies Network Architectures Standards and Protocols Network Control and Performance NETWORK APPLICATIONS Office Systems and Business Systems Distributed Information Systems Distributed Computing Systems Other Applications of Networks WIDER ASPECTS OF NETWORKS Network Costs and Economics Impact of Networks Network Problems and Issues Future Prospects of Networks RECENT DEVELOPMENTS Recent Developments in Network Systems and Services Recent Developments in Network Technologies Recent Developments in Network Architectures Standards and Protocols Recent Developments in Network Applications Case Studies of Networks Current Network Problems and Prospects Appendixes Epilogue--The Peace Network Supplementary Bibliography Glossary Directory of Network Services Directory of Network System Suppliers Name Index Subject Index.

5 citations



Book ChapterDOI
01 Jan 1986
TL;DR: This work attempts to apply the current paradigms in Artificial Intelligence research to the problems in network optimization, using the experience AI researchers have gained in organizing and using knowledge to solve problems.
Abstract: Networks are the mainstay of modern-day communications. Their use in transporting voice, pictures, and data is constantly increasing. Applications in the areas of computer communications, teleprocessing, and teleconferencing are finding wide markets. The thrust of current research in communication networks is lower costs. Attempts to integrate voice and data, exploit optical fibres and satellite technology, and optimize network topologies and hardware are steps in this direction. This work attempts to apply the current paradigms in Artificial Intelligence research to the problems in network optimization. The experience AI researchers have gained in organizing and using knowledge to solve problems (Ref. 1,2) is especially relevant in this work.