30 research outputs found
Frontal Solutions: an Information Technology Transfer to Abstract Mathematics
The paper introduces a method for dependencies discovery during human-machine interaction. It is
based on an analysis of numerical data sets in knowledge-poor environments. The driven procedures are
independent and they interact on a competitive principle. The research focuses on seven of them. The
application is in Number Theory
Dynamic Ontologies in Information Security Systems
Different types of ontologies and knowledge or metaknowledge connected to them are considered and
analyzed aiming at realization in contemporary information security systems (ISS) and especially the case of
intrusion detection systems (IDS) or intrusion prevention systems (IPS). Human-centered methods
INCONSISTENCY, FUNNEL, CALEIDOSCOPE and CROSSWORD are algorithmic or data-driven methods
based on ontologies. All of them interact on a competitive principle ‘survival of the fittest’. They are controlled by a
Synthetic MetaMethod SMM. It is shown that the data analysis frequently needs an act of creation especially if it
is applied to knowledge-poor environments. It is shown that human-centered methods are very suitable for
resolutions in case, and often they are based on the usage of dynamic ontologie
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
Blockchain Solutions for Multi-Agent Robotic Systems: Related Work and Open Questions
The possibilities of decentralization and immutability make blockchain
probably one of the most breakthrough and promising technological innovations
in recent years. This paper presents an overview, analysis, and classification
of possible blockchain solutions for practical tasks facing multi-agent robotic
systems. The paper discusses blockchain-based applications that demonstrate how
distributed ledger can be used to extend the existing number of research
platforms and libraries for multi-agent robotic systems.Comment: 5 pages, FRUCT-2019 conference pape
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
Innovative issues in intelligent systems
This book presents a broad variety of different contemporary IT methods and applications in Intelligent Systems is displayed. Every book chapter represents a detailed, specific, far reaching and original re-search in a respective scientific and practical field. However, all of the chapters share the common point of strong similarity in a sense of being innovative, applicable and mutually compatible with each other. In other words, the methods from the different chapters can be viewed as bricks for building the next generation “thinking machines” as well as for other futuristic logical applications that are rapidly changing our world nowadays
Novel applications of intelligent systems
In this carefully edited book some selected results of theoretical and applied research in the field of broadly perceived intelligent systems are presented. The problems vary from industrial to web and problem independent applications. All this is united under the slogan: "Intelligent systems conquer the world”. The book brings together innovation projects with analytical research, invention, retrieval and processing of knowledge and logical applications in technology. This book is aiming to a wide circle of readers and particularly to the young generation of IT/ICT experts who will build the next generations of intelligent systems
Defeasible Inference in Intelligent Agents of BDI Type �
The method with intelligent agents in multi-agent systems (MAS) in comparison with the traditional approaches enables the increase of efficiency in information protection, including their adequacy, failure resistance, destruction resistance, universality, flexibility, etc. [1] The success of such systems is due to a great extent to the distributed way o