| I.2.6 Learning | Article |
Polynomial Regression using a Perceptron with Axo-axonic Connections |
Abstract: Social behavior is mainly based on swarm colonies, in which each individual shares its knowledge about
the environment with other individuals to get optimal solutions. Such co-operative mod |
| I.2.4 Knowledge Representation Formalisms and Methods | Article |
PRESENTATION OF ONTOLOGIES AND OPERATIONS ON ONTOLOGIES IN FINITE-STATE ... |
Abstract: A representation of ontology by using finite-state machine is considered. This representation allows introducing the operations on ontologies by using regular algebra of languages. The opera |
| I.2.5 Programming Languages and Software | Article |
PRINCIPLES OF THE DEVELOPMENT OF INTERACTIVE QUERY EXPERT SYSTEMS |
Abstract: This paper describes the principles for the development of interactive query or question-answer expert systems (ES) in the Multi Studio software environment in Multi (the universal language) |
| I.2 ARTIFICIAL INTELLIGENCE | Article |
PROBLEM AND MATHEMATICAL MODELS FOR RESCUE TECHNICS ACQUISITION |
Abstract: In this paper the problem decision technology for resque technics acquisition with use multiobjective
optimization, method of the variant's consecutive analysis and evolutionary modeling is |
| I.2.4 Knowledge Representation Formalisms and Methods | Article |
PROCESSING SETS OF CLASSES’ LOGICAL REGULARITIES |
Abstract: The paper considers two methods for processing sets of logical regularities of classes (LRC)
found by training samples analysis. The first approach is based on the minimization of logical
|
| I.2.2 Automatic Programming | Article |
Program Invariants Generation over Polynomial Ring using Iterative Methods. |
Abstract: A solution for program polynomial invariant generation problem is presented. An iteration upper approximation method that was successfully applied on free algebras in this paper was adopted |
| I.2.11 Distributed Artificial Intelligence | Article |
PROGRAMMING OF AGENT-BASED SYSTEMS |
Abstract: The purpose of the paper is to explore the possibility of applying the language PRALU, proposed for description of parallel logical control algorithms and rooted in the Petri net formalism f |
| I.2.6 Learning | Article |
RESERVOIR FORECASTING NEURO-FUZZY NETWORK AND ITS LEARNING |
Abstract: The idea of Reservoir Computing has become so popular recently due to its computational efficiency
and the fact that just only a linear output layer must be taught. In this paper a reservoi |
| I.2.1 Applications and Expert Systems | Article |
RESOURCE APPROACH TO DATA MINING BASED ON NETWORK TRAFFIC |
Abstract: In the presented paper is considered resource approach to intellectual data analyses based on
network traffic. A model for calculation of loading on different segments of the network in the |
| I.2.3 Deduction and Theorem Proving | Article |
RISK BEHAVIOUR IN A SET OF INTERVAL ALTERNATIVES |
Abstract: Problem comparing alternatives under interval uncertainty is studied. It is assumed that the
compared alternatives have indicators of quality in the form of interval estimates. It is shown |
| I.2.9 Robotics | Article |
ROBOT CONTROL USING INDUCTIVE, DEDUCTIVE AND CASE BASED REASONING |
Abstract: The paper deals with a problem of intelligent system’s design for complex environments. There is
discussed a possibility to integrate several technologies into one basic structure that co |
| I.2.6 Learning | Article |
SEARCHING FOR NEAREST STRINGS WITH NEURAL-LIKE STRING EMBEDDING |
Abstract: We analyze an approach to a similarity preserving coding of symbol sequences based on neural
distributed representations and show that it can be viewed as a metric embedding process.
Key |
| I.2.0 General | Article |
SECOND ATTEMPT TO BUILD A MODEL OF THE TIC-TAC-TOE GAME 1 |
Abstract: We want to make a program which can play any game or in other words we want to make AI. It is
impossible to include in this program the rules of all games and that is why our program should |
| I.2 ARTIFICIAL INTELLIGENCE | Article |
SELECTIVE EVOLUTION CONTROL METHOD FOR EVOLUTION STRATEGIES WITH NEURAL ... |
Abstract. This paper presents a new evolution control method to reduce the number of computationally expensive simulations for evolution strategies with fitness function models. A feedforward neural n |
| I.2 ARTIFICIAL INTELLIGENCE | Article |
SELF EVOLVING CHARACTER RECOGNITION USING GENETIC OPERATORS |
Abstract: In this paper, a novel approach for character recognition has been presented with the help of genetic
operators which have evolved from biological genetics and help us to achieve highly acc |
| I.2.9 Robotics | Article |
SELF-LEARNING FUZZY SPIKING NEURAL NETWORK AS A NONLINEAR PULSE-POSITION ... |
Abstract: Architecture and learning algorithm of self-learning spiking neural network in fuzzy clustering task are
outlined. Fuzzy receptive neurons for pulse-position transformation of input data ar |
| I.2.4 Knowledge Representation Formalisms and Methods | Article |
SELF-MODIFICATED PREDICATE NETWORKS |
Abstract: A model of self-modificated predicate network with cells implementing predicate formulas in
the form of elementary conjunction is suggested. Unlike a classical neuron network the proposed m |
| I.2.1 Applications and Expert Systems | Article |
SELF-ORGANIZATION OF FUNCTIONING PROCESS OF EXPERT SYSTEM WITH |
Annotation: Optimization of design, creation, functioning and accompaniment processes of expert system is the
important problem of artificial intelligence theory and decisions making methods techniqu |
| I.2.8 Problem Solving, Control Methods, and Search | Article |
SELF-ORGANIZING ROUTING ALGORITHM FOR WIRELESS SENSORS NETWORKS (WSN) USING ... |
Abstract: This paper describes the basic tools to work with wireless sensors. TinyOShas a component-based architecture which enables rapid innovation and implementation while minimizing code size as r |
| I.2.4 Knowledge Representation Formalisms and Methods | Article |
SELFSTRUCTURIZED SYSTEMS |
Abstract: The problems of constructing the selfsrtucturized systems of memory of intelligence information
processing tools, allowing formation of associative links in the memory, hierarchical organiz |
| I.2.4 Knowledge Representation Formalisms and Methods | Article |
SEMANTIC NET FROM CONCEPTS AS A MODEL OF STUDENT’S KNOWLEDGE: HOW STABLE ARE ... |
Abstract: Original method to study students’ conceptual knowledge was reported at previous ITHEA
conferences. According to this method, to show their educational achievements students had to pass t |
| I.2.7 Natural Language Processing | Article |
SEMANTIC SEARCH OF INTERNET INFORMATION RESOURCES ON BASE OF ONTOLOGIES ... |
Abstract: the approaches to the analysis of various information resources pertinent to user requirements at a
semantic level are determined by the thesauruses of the appropriate subject domains. The |
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