26 research outputs found
Adaptive Routing and Multi-Agent Control for Information Flows in IP-Networks
The principles of adaptive routing and multi-agent control for information flows in IP-networks
Multi-Agent Information Processing and Adaptive Control in Global Telecommunication and Computer Networks
The problems and methods for adaptive control and multi-agent processing of information in global
telecommunication and computer networks (TCN) are discussed. Criteria for controllability and communication
ability (routing ability) of dataflows are described. Multi-agent model for exchange of divided information
resources in global TCN has been suggested. Peculiarities for adaptive and intelligent control of dataflows in
uncertain conditions and network collisions are analyzed
Adaptive Control and Multi-agent Interface for Infotelecommunication Systems of New Generation
Problems for intellectualisation for man-machine interface and methods of self-organization for network
control in multi-agent infotelecommunication systems have been discussed. Architecture and principles for
construction of network and neural agents for telecommunication systems of new generation have been
suggested. Methods for adaptive and multi-agent routing for information flows by requests of external agents-
users of global telecommunication systems and computer networks have been described
Conditions of Effectiveness of Pattern Recognition Problem Solution Using Logical Level Descriptions of Classes
Earlier the authors have suggested a logical level description of classes which allows to reduce a
solution of various pattern recognition problems to solution of a sequence of one-type problems with the less
dimension. Here conditions of the effectiveness of the use of such a level descriptions are proposed
Hierarchical Logical Description and Neural Recognition of Complex Patterns
Authors suggested earlier hierarchical method for definition of class description at pattern recognition
problems solution. In this paper development and use of such hierarchical descriptions for parallel representation
of complex patterns on the base of multi-core computers or neural networks is proposed
Neural Approach in Multi-Agent Routing for Static Telecommunication Networks
The problem of multi-agent routing in static telecommunication networks with fixed configuration is
considered. The problem is formulated in two ways: for centralized routing schema with the coordinator-agent
(global routing) and for distributed routing schema with independent agents (local routing). For both schemas
appropriate Hopfield neural networks (HNN) are constructed
Applications of Nonclassical Logic Methods for Purposes of Knowledge Discovery and Data Mining
* The work is partially supported by Grant no. NIP917 of the Ministry of Science and Education – Republic of Bulgaria.Methods for solution of a large class of problems on the base of nonclassical, multiple-valued, and
probabilistic logics have been discussed. A theory of knowledge about changing knowledge, of defeasible
inference, and network approach to an analogous derivation have been suggested. A method for regularity
search, logic-axiomatic and logic-probabilistic methods for learning of terms and pattern recognition in the case of
multiple-valued logic have been described and generalized. Defeasible analogical inference and new forms of
inference using exclusions are considered. The methods are applicable in a broad range of intelligent systems
Education Complex "Multi-agent Technologies for Parallel and Distributed Information Processing in Telecommunication Networks"
The paper describes education complex "Multi-agent Technologies for Parallel and Distributed
Information Processing in Telecommunication Networks"
Multimodal Man-machine Interface and Virtual Reality for Assistive Medical Systems
The results of research the intelligence multimodal man-machine interface and virtual reality means for
assistive medical systems including computers and mechatronic systems (robots) are discussed. The gesture
translation for disability peoples, the learning-by-showing technology and virtual operating room with 3D
visualization are presented in this report and were announced at International exhibition "Intelligent and Adaptive
Robots–2005"
APPLICATIONS OF NONCLASSICAL LOGIC METHODS FOR PURPOSES OF KNOWLEDGE DISCOVERY AND DATA MINING 1
Abstract: Methods for solution of a large class of problems on the base of nonclassical, multiple-valued, and probabilistic logics have been discussed. A theory of knowledge about changing knowledge, of defeasible inference, and network approach to an analogous derivation have been suggested. A method for regularity search, logic-axiomatic and logic-probabilistic methods for learning of terms and pattern recognition in the case of multiple-valued logic have been described and generalized. Defeasible analogical inference and new forms of inference using exclusions are considered. The methods are applicable in a broad range of intelligent systems