Abstract: This paper centers on argument saturation in relational-noun compounds. We argue that these compounds can be analyzed in terms of conceptual types, as introduced by Löbner 1985, to appear. He distinguishes between sortal, individual, functional, and proper relational concepts. To describe argument saturation in compounding, we use frames in the sense of Barsalou 1992 since frames give a decompositional account of concepts and in particular reflect the conceptual types in their structure. Subsequently, we investigate relational-noun compounds in German as derived from their conceptual types. That is, we analyze in how far the conceptual types of the compound constituents determine the concept type of the compound as a whole. For possessive constructions, Löbner, to appear argues that a construction with a functional head inherits the type of the modifier. We demonstrate that for constructions with a relational head the case is less straightforward: the construction inherits the relational dimension of the modifier and the non-uniqueness from the head noun. However, we show that the combinations for compounds can follow complex compositional rules.

Keywords: word formation, frames, compounds, lexical semantics

ACM Classification Keywords: A.0 General Literature - Conference proceedings Languages, Theory

Link:

A FORMAL REPRESENTATION OF CONCEPT COMPOSITION

Daniel Schulzek, Christian Horn, Tanja Osswald

http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-2-p05.pdf

Abstract: The extension to new languages is a well known bottleneck for any text analyzing system. In this paper, a cognitive model of time is proposed and the questions of extracting events and their time characteristics from texts are discussed. The cognitive model of time due to its independence of concrete natural language can be considered as a basis for constructing text mining systems intended for extracting temporary relations.

Keywords: Natural Language Processing, cognitive model, time model.

ACM Classification Keywords: I.2.7. Computing Methodologies - Artificial intelligence - Natural Language Processing

Link:

COGNITIVE MODEL OF TIME AND ANALYSIS OF NATURAL LANGUAGE TEXTS

Xenia A. Naidenova, Marina I. Garina

http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-2-p04.pdf

Abstract: EcoLexicon? is a terminological knowledge base (TKB) on the environment where different types of information converge in a multimodal interface: semantic networks, definitions, contexts and images. It seeks to meet both cognitive and communicative needs of different users, such as translators, technical writers or even environmental experts. According to Meyer et al. 1992, TKBs should reflect conceptual structures in a similar way to how concepts relate in the human mind. From a neurological perspective, Barsalou 2009: 1283 states that a concept produces a wide variety of situated conceptualizations in specific contexts, which clearly determines the type and number of concepts to be related to. The organization of semantic information in the brain should thus underlie any theoretical assumption concerning the retrieval and acquisition of specialized knowledge concepts as well as the design of specialized knowledge resources Faber, 2010. Furthermore, since categorization itself is a dynamic context-dependent process, the representation and acquisition of specialized knowledge should certainly focus on contextual variation. Context includes external factors (situational and cultural) as well as internal cognitive factors, all of which can influence one another House, 2006: 342. This view goes hand in hand with the perception of language as a kind of action, where the meaning of linguistic forms is understood as a function of their use Reimerink et al., 2010. In this paper we briefly describe each module of our resource and explain how EcoLexicon? has been contextualized according to conceptual and terminological information. The conceptual contextualization of different entries in EcoLexicon? has been performed according to role-based domains and contextual domains, whereas terminological contextualization is based on contextual domains and use situations. In this way, context is two-fold, since we account for the referential context of concepts in the real world and users’ own communicative and cognitive context.

Keywords: context, dynamism, reconceptualization, environmental knowledge, TKB.

ACM Classification Keywords: H.5.2 User interfaces – Natural language

Link:

CONTEXT-BASED MODELLING OF SPECIALIZED KNOWLEDGE1

Pilar León Araúz, Arianne Reimerink, Alejandro G. Aragón

http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-2-p03.pdf

Abstract: Conceptual modeling is the activity of formally describing aspects of the physical and social world around us for purposes of understanding and communication. The conceptual modeler thus has to determine what aspects of the real world to include, and exclude, from the model, and at what level of detail to model each aspect Kotiadis and Robinson, 2008. The way that this is done depends on the needs of the potential users or stakeholders, the domain to be modeled, and the objectives to be achieved. A principled set of conceptual modeling techniques are thus a vital necessity in the elaboration of resources that facilitate knowledge acquisition and understanding. In this respect, the design and creation of terminological databases for a specialized knowledge domain is extremely complex since, ideally, the data should be interconnected in a semantic network by means of an explicit set of semantic relations. Nevertheless, despite the acknowledged importance of conceptual organization in terminological resources Puuronen, 1995, Meyer et al., 1997, Pozzi, 1999, Pilke, 2001, conceptual organization does not appear to have an important role in their design. It is a fact that astonishingly few specialized knowledge resources available on Internet contain information regarding the location of concepts in larger knowledge configurations Faber et al., 2006. Such knowledge resources do not take into account the dynamic nature of categorization, concept storage and retrieval, and cognitive processing Louwerse and Jeuniaux, 2010, Aziz-Zadeh and Damasio, 2008, Patterson et al., 2007, Gallese and Lakoff, 2005. Recent theories of cognition reflect the assumption that cognition is typically grounded in multiple ways, e.g. simulations, situated action, and even bodily states. This means that a specialized knowledge resource that facilitates knowledge acquisition should thus provide conceptual contexts or situations in which a concept is conceived as part of a process or event. Since knowledge acquisition and understanding requires simulation, this signifies that horizontal relations defining goal, purpose, affordance, and result of the manipulation and use of an object are just as important, if not more so, than vertical generic-specific and part-whole relations. Within the context of recent theories of cognition, this paper examines the frame-based conceptual modeling principles underlying EcoLexicon?, a multilingual knowledge base of environmental concepts (http://ecolexicon.ugr.es/) Faber et al., 2005, 2006, 2007.

Keywords: conceptual modeling, terminological knowledge base, cognition, specialized knowledge representation

ACM Classification Keywords: J.5 Arts and Humanities – Linguistics

Link:

CONCEPTUAL MODELING IN SPECIALIZED KNOWLEDGE RESOURCES

Pamela Faber, Antonio San Martín

http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-2-p02.pdf

Abstract: In this paper we try to answer the following questions: Why do frequently used words tend to polysemy and homophony? And what comes first - frequency or the higher number of meanings per word? We shall stress the key role of frequency in the emergence of polysemy and assume an interactive step-up initiated by frequency: High frequency not only favors reduction processes of words or the bleaching of meanings that can result in polysemy; it also plays a crucial role in the creation of metaphors or metonymies, i.e., the main sources of polysemy. Only familiar or frequent source words/concepts tend to be used in metaphorical or metonymical expressions. Through the conventionalization of the metaphors and metonymies, the source words get additional meanings. They now can be used in a higher number of contexts what in turn favors a more frequent use. A similar explanation might hold for the development of homophony: Shorter words are known for their tendency to homophony Jespersen, 1933 and high token frequency. Our explanation: High frequency favors backgrounding processes, such as vowel reduction, lenition and deletion of consonants or even of syllables. This frequency-induced shortening of words often results in sound merger and in a relatively high proportion of homophonous words, i.e., words encoding unrelated meanings.

Keywords: frequency, polysemy, homophony, metaphor, metonymy

Link:

FREQUENCY EFFECTS ON THE EMERGENCE OF POLYSEMY AND HOMOPHONY

Gertraud Fenk-Oczlon?, August Fenk

http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-2-p01.pdf

Abstract: This paper presents a project, aimed to create an information analytic system to solve the problem of organizing collective work of researchers, supporting their efficient cooperation on one of the topical problems in the sphere of economy – the problem of region’s innovative development. The project supposes a creation of a portal that provides possibilities of publication, search, analysis and cataloging data on stated subject matter, as well as information exchange. In the system there should be presented not only publications, received from different sources, but also work results of the researchers, participating in the project, particularly, suggested models of innovative development of enterprises, economic sectors, regions, quantitative and qualitative assessment of their innovational development level in conditions of, on the one part, integration and on the other – intensification of competition. Special attention in the project is paid to the usage of up-to-date information technologies in conducting researches. The software of the portal includes means of information search in different sources, analytic processing of the information in accordance to developed methods. Access to the portal will be provided for users of different categories (scientists, lecturers, students, specialists in public authorities). The first stage is a creation of a research prototype of the system. Initial filling is expected to be executed on the base of data, issued by project participants (particularly, method of complex assessment of region’s innovative development, which is based on the economic and mathematical methods and models; model of knowledge domain, built on the base of ontology and used for searching and analyzing papers and data; etc.).

Keywords: Innovations; Models of innovative development; Ontology; Intellectual search; Data analytic processing; Web-technologies.

ACM Classification Keywords: H. Information Systems. H.3 Information storage and retrieval: H.3.5 Online Information Services – Web-based services; H.3.6 Library Automation – Large text archives.

Link:

RESEARCH PORTAL “REGIONS’ INNOVATIVE DEVELOPMENT”

Lyudmila Lyadova, Zhanna Mingaleva, Natalia Frolova

http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-1-p09.pdf

Abstract: A novel approach to power reduction in VLSI arrays is proposed. This approach includes recognition of the similarities in architectures and power profiles of different types of arrays, adaptation of methods developed for one on others and component sharing when several arrays are embedded in the same system and mutually operated. Two types of arrays are discussed: Image Sensor pixel arrays and SRAM bitcell arrays. For both types of arrays, architectures and major sources of power consumption are presented and several examples of power reduction techniques are discussed. Similarities between the architectures and power components of the two types of arrays are displayed. A number of peripheral sharing techniques for systems employing both Image Sensors and SRAM arrays are proposed and discussed. Finally, a practical example of a smart image sensor with an embedded memory is given, using an Adaptive Bulk Biasing Control scheme. The peripheral sharing and power saving techniques used in this system are discussed. This example was implemented in a standard 90nm CMOS process and showed a 26% leakage reduction as compared to standard systems.

Keywords: VLSI Arrays, SRAM, Smart Image Sensors, Low Power, AB2C.

ACM Classification Keywords: B.3.1 Semiconductor Memories - SRAM, B.6 Logic Design – Memory Control and Access, B.7 Integrated Circuits – VLSI, E.1 Data Structures – Arrays, I.4.1 Digitization and Image Capture

Link:

LARGE VLSI ARRAYS – POWER AND ARCHITECTURAL PERSPECTIVES

Adam Teman, Orly Yadid-Pecht? and Alexander Fish

http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-1-p08.pdf

Abstract: New methods are needed to create integrated circuits which are able to overcome the inherent problems in the miniaturization process. These problems are mainly technological and economical; photolithography is limited and the expensive building respectively. This paper proposes the basis for a new manufacturing process of nanotechnological circuits based on semiconducting carbon nanotubes that work as FET (Field Effect Transistor) and metallic carbon nanotubes that work as nanowires. This process is based on the assembly of DNA tiles and lattices that guide the placement of carbon nanotubes to build electronic circuits. The process takes place in a microfluidic device within its chambers. Building blocks are created based on NAND logic gates. These building blocks are enabled to assemble AND, OR and NOT logic gates. The process of assembling a XOR logic gate is explained, demonstrating how to apply the process in a concrete case.

Keywords: Carbon nanotubes, DNA lattice, FET, Microfluidic devices, Self-assembly process.

ACM Classification Keywords: B.7.1 Types and Design Styles – Advanced technologies

Link:

SELF-ASSEMBLY PROCESS FOR INTEGRATED CIRCUITS BASED ON CARBON NANOTUBES USING MICROFLUIDIC DEVICES

David Moreno, Sandra Gómez, Paula Cordero

http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-1-p07.pdf

Abstract: Bioinformatic and systems biology developments should be accompanied not only by a plethora of computer tools, but also by an in-depth reflection on the distinctive nature of biological information. In this work we attempt a consistent approach to the multiple varieties of information in the living cell by starting out from the conceptualization of molecular recognition phenomena. Subsequently, an elementary approach to the “informational architectures” behind cellular complexity may be chartered. In the interplay of the different informational architectures two cellular subsystems should be highlighted: on the one side the transcriptional regulatory network, and on the other, the cellular signaling system that is in charge of the interrelationship with the environment. The embodiment of functional agents and the peculiar handling of DNA sequences along the evolutionary process will suggest a parallel with the von Neumann scheme of modern computers, including the cellular capability to “rewrite the DNA rules” along ontogenetic development.

Keywords: Molecular recognition, Informational architectures, DNA addresses, Transcriptional regulatory network, Cellular signaling system, von Neumann scheme.

ACM Classification Keywords: D. Software. D.1 Programming Techniques

Link:

VARIETIES OF BIOLOGICAL INFORMATION: A MOLECULAR RECOGNITION APPROACH TO SYSTEMS BIOLOGY AND BIOINFORMATICS

Jorge Navarro, Ángel Goñi-Moreno? & Pedro C. Marijuán

http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-1-p06.pdf

Abstract: One of the most important objectives of artificial vision is the development of bioinspired and biomimetic robot vision as well as the development of bionic eyes for the blind. Depending on the specific application different eye models can be used but the most ambitious is the development of a human-like eye. However, human eye is extremely complex and if we even design such a visual device the amount of information to process should be computationally intractable. Normally low-resolution image quality and low visual acuity would be sufficient for our purposes, so simpler biological models could represent excellent computational alternatives. In the present communication we propose to use the visual system of the rat and we justify our proposal by proving that this model fits perfectly the requirements of our applications.

Link:

PIGMENTED RAT-BASED VISION FOR ARTIFICIAL INTELLIGENCE APPLICATIONS

Francisco J. Cisneros de los Rios , Isabel Martín Moreno-Cid? , Abel SanchezJimenez? , Juan Castellanos, Fivos Panetsos

http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-1-p05.pdf

Abstract: A special quality of discrete tomography problem solutions that requires the ray difference is considered. Two classes of reconstruction tasks of (0,1)-matrices with different rows are studied: matrices with prescribed column and row sums and matrices with prescribed column sums only. Both cases are known as algorithmically open problems. We reformulate them as integer programming problems. Depending on parameters obtained, the Lagrangean relaxation model and then variable splitting technique, or a greedy heuristics approaches are applied for getting approximate solutions. In later case an optimization version is considered, where the objective is to maximize the number of pair-wise different row rays, which in case of existence of a matrix, is equivalent to the requirement of row differences.

Keywords: discrete tomography, (0,1)-matrices, integer programming

ACM Classification Keywords: F.2.2 Nonnumerical Algorithms and Problems: Computations on discrete structures

Link:

LINEAR PROGRAM FORM FOR RAY DIFFERENT DISCRETE TOMOGRAPHY

Hasmik Sahakyan, Levon Aslanyan

http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-1-p04.pdf

Abstract: Within the membrane computing research field, there are many papers about software simulations and a few about hardware implementations. In both cases, algorithms are implemented. These algorithms implement membrane systems in software and hardware that try to take advantages of massive parallelism. P-systems are parallel and non deterministic systems which simulate membranes behavior when processing information. This papers describes the evolution rules application process and it presents software techniques for calculating maximal multisets on every evolutionary step. These techniques improve the best performance achieved by the p-systems when applying evolution rules. Algorithms could stop being useful when the number of objects “n” in which they depends on, increases. By using this technique, that specific problem can be overcome. The output can be given under a constant complexity order. The complexity order might be constant under certain conditions, regardless the value “n”. In order to do this, the proper use of memory is essential. This work will provide the details for building a structure. This structure will allow us to improve performance in terms of time. Moreover this structure can be allocated in the random access memory and/or the virtual memory

Keywords: P-systems, Parallel systems, Natural Computing, evolution rules application, set of patterns, structure.

ACM Classification Keywords: D.1.m Miscellaneous – Natural Computing

Link:

MEMBRANE COMPUTING: NON DETERMINISTIC TECHNIQUE TO CALCULATE EXTINGUISHED MULTISETS OF OBJECTS.

Alberto Arteta, Angel Castellanos, Ana Martinez

http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-1-p03.pdf

Abstract: Natural computing is a whole area where biological processes are simulated to get their advantages for designing new computation models. Among all the different fields that are being developed, membrane computing and, more specifically, P Systems, try to get the most out of the biological cell characteristics and of the chemical processes that take place inside them to model a new computation system. There have been great advances in this field, and there have been developed a lot of works that improved the original one, developing new ideas to get the most of the different algorithms and architectures that could be used for this new model. One of the most difficult areas is the actual implementation of these systems. There are some works that try to implement P Systems by software simulations and there are some more that design systems that implement them by using computer networks or specific hardaware like microcontrollers. All these implementations demonstrate their validity but many of them had the lack of some main characteristics for P Systems. As continuation for some earlier published works, present work pretends to be the exposition of the design for a complete new hardware circuit that may be used to develop a P System for general purpose, complying with the two main characteristics that we consider more important: a high level of parallelism (which does these systems specially indicated to solve NP problems) and the fact that they should be non deterministic.

Keywords: Transition P System, membrane computing, circuit design.

ACM Classification Keywords: D.1.m Miscellaneous – Natural Computing

Link:

IMPLEMENTING TRANSITION P SYSTEMS

Santiago Alonso, Luis Fernández, Víctor Martínez

http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-1-p02.pdf

Abstract: Membrane systems are models of computation which are inspired by some basic features of biological membranes. Transition P systems are very simple models. Many hardware and software architectures have been proposed for implementing them. In particular, there are implementations in cluster of processors, in microcontrollers and in specialized hardware. This work proposes an analysis of the P system in order to be able to reduce the execution time of a given evolution step. We present a solution for improving the time of working out the active rules subset of a membrane. This task is critical for the entire evolution process efficiency because it is performed inside each membrane in every evolution step. Therefore, we propose to carry out a static analysis over the P system. The collected information is used for obtaining a decision tree for each membrane. During the execution time of the P system, active rules of a membrane will be determined as a result of a classification problem from the corresponding decision tree. By incorporating decision trees for this task, we will notice some improvements.

Keywords: Decision Tree, ID3, Active Rules, Transition P System

ACM Classification Keywords: I.2.6 Learning – Decision Tree; D.1.m Miscellaneous – Natural Computing

Link:

IMPROVING ACTIVE RULES PERFORMANCE IN NEW P SYSTEM COMMUNICATION ARCHITECTURES

Juan Alberto de Frutos, Luis Fernández, Carmen Luengo, Alberto Arteta

http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-1-p01.pdf

Abstract: Parallel ant colony optimization algorithm for solving protein tertiary structure prediction problem given its amino acid sequence is introduced. The efficiency of developed algorithm is studied and the results of computational experiment on the SCIT supercomputer clusters are discussed.

Keywords: combinatorial optimization, protein tertiary structure prediction, ant colony optimization, parallel algorithms, SCIT supercomputer.

Link:

DEVELOPMENT AND ANALYSIS OF THE PARALLEL ANT COLONY OPTIMIZATION ALGORITHM FOR SOLVING THE PROTEIN TERTIARY STRUCTURE PREDICTION PROBLEM

Leonid Hulianytskyi, Vitalina Rudyk

http://www.foibg.com/ijita/vol21/ijita21-04-p09.pdf

Abstract: The article presents new monograph dedicated to the researching of physical phenomenon of statistical stability and exposure of basics of physical-mathematical theory of hyper-random phenomena, the latter describing physical events, variables and processes with consideration of violation of statistical stability. In contrast to two previous author’s monograph devoted to the same subject in which the main attention was paid to the mathematical aspects of the theory of hyper-random phenomena, in the new book the accent is made on physical headwords. The book is oriented on scientists, engineers, and post-graduate students researching in statistical laws of natural physical phenomena as well as developing and using statistical methods for highprecision measuring, prediction and signal processing on long observation intervals. It may also be useful for high-level courses for university students majoring in physical, engineering, and mathematical fields.

Keywords: phenomenon of statistical stability, theory of hyper-random phenomena, physical process, violation of convergence.

ACM Classification Keywords: G.3 Probability and Statistics

Link:

PHYSICAL PHENOMENON OF STATISTICAL STABILITY

Igor Gorban

http://www.foibg.com/ijita/vol21/ijita21-04-p08.pdf

Abstract: Let P(x) = x n + an−1x n−1 + · · · + a1x + a0 be an irreducible polynomial over Fq. In Cao, 2012, Varshamov, 1973, Lidl, 1987 the factorization of the composite polynomial P(x p − ax − δ), when a = 1 and T rFq/Fp (nb − an−1) = 0 is considered. The result of factorization of polynomial P(x p − x − δ) is a p irreducible polynomials of degree n over Fq. In this paper we propose an algorithm for factoring composite polynomial P(x p − x − δ) over Fq and give a explicit view of each factor.

Keywords: finite field, polynomial factorization, polynomial composition

ACM Classification Keywords: I.1.2. Algorithms

Link:

AN ALGORITHM FOR FACTORING COMPOSITE POLYNOMIAL P(x p − x − δ)

Sergey Abrahamyan, Knarik Kyuregyan

http://www.foibg.com/ijita/vol21/ijita21-04-p07.pdf

Abstract: The main features of WordArM? system for storing dictionaries and thesauruses by means of Natural Language Addressing are outlined in the paper. Experiments with WordArM? have shown that the NL-addressing is suitable for dynamic processes of creating and further development of datasets due to avoiding recompilation of the database index structures and high speed access to every data element.

Keywords: Natural Language Addressing

ACM Classification Keywords: H.2 Database Management; H.2.8 Database Applications

Link:

WORDARM - A SYSTEM FOR STORING DICTIONARIES AND THESAURUSES BY NATURAL LANGUAGE ADDRESSING

Krassimira Ivanova

http://www.foibg.com/ijita/vol21/ijita21-04-p06.pdf

Abstract: This paper contains analysis of creation of sets and multisets as an approach for modeling of some aspects of human thinking. The creation of sets is considered within constructive object-oriented version of set theory (COOST), from different sides, in particular classical set theory, object-oriented programming (OOP) and development of intelligent information systems (IIS). The main feature of COOST in contrast to other versions of set theory is an opportunity to describe essences of objects more precisely, using their properties and methods, which can be applied to them. That is why this version of set theory is object-oriented and close to OOP. Within COOST, the author proposes universal constructor of multisets of objects that gives us a possibility to create arbitrary multisets of objects. In addition, a few determined constructors of multisets of objects, which allow creating multisets, using strictly defined schemas, also are proposed in the paper. Such constructors are very useful in cases of very big cardinalities of multisets, because they give us an opportunity to calculate a multiplicity of each object and cardinality of multiset before its creation. The proposed constructors of multisets of objects allow us to model in a sense corresponding processes of human thought, that in turn give us an opportunity to develop IIS, using these tools.

Keywords: constructive object-oriented set theory, class of objects, homogeneous class of objects, inhomogeneous class of objects, set of objects, multiset of objects.

ACM Classification Keywords: I.2.0 General – Cognitive simulation, F.4.1 Mathematical Logic – Set theory, D.1.5 Object-oriented Programming, D.3.3 Language Constructs and Features – Abstract data types, Classes and objects, Data types and structures, E.2 Data Storage Representations – Object representation.

Link:

UNIVERSAL AND DETERMINED CONSTRUCTORS OF MULTISETS OF OBJECTS

Dmytro Terletskyi

http://www.foibg.com/ijita/vol21/ijita21-04-p05.pdf

Abstract: MICRORAM is a simulation model in which a colony of bacteria evolves inside an artificial world. The model has the flavor of the classical models of the decades of the 80s and 90s in which artificial life was inspired by microbiology. We show how a population of ‘bacterial’ agents is able to adapt to environmental changes and survive to the attack from an external agent simulated with an ‘antibiotic’. The conclusion is that many ideas from the 80s and 90s are still valid, and it is possible to design and simulate agents inspired by natural ‘bacterial colonies’, with potential applications in bacterial and natural computing.

Keywords: artificial life worlds, agent based modeling, bacterial genetic algorithm, conjugation operator.

ACM Classification Keywords: I.6 Simulation and Modeling

Link:

MICRORAM: A SIMULATION MODEL OF A COLONY OF BACTERIA EVOLVING INSIDE AN ARTIFICIAL WORLD

Daniel Thai Dam, Rafael Lahoz-Beltra?

http://www.foibg.com/ijita/vol21/ijita21-04-p04.pdf

Abstract: One of the biggest challenges that software developers face is to make an accurate estimate of the project effort. Radial basis function neural networks have been used to software effort estimation in this work using NASA dataset. This paper evaluates and compares radial basis function versus a regression model. The results show that radial basis function neural network have obtained less Mean Square Error than the regression method.

Keywords: software effort estimation, software repositories, radial basis function and artificial neural networks.

ACM Classification Keywords: I.2.6 Artificial Intelligence – Connectionism and neural nets, H.2.7 Database Administration – Data Ware house and repository.

Link:

SOFTWARE EFFORT ESTIMATION USING RADIAL BASIS FUNCTION NEURAL NETWORKS

Ana Maria Bautista, Angel Castellanos, Tomas San Feliu

http://www.foibg.com/ijita/vol21/ijita21-04-p03.pdf

Abstract: It is shown, that any multicriteria problem can be represented by a hierarchical system of criteria. Individual properties of the object (alternative) are evaluated at the bottom level of the system, using a criteria vector; and a composition mechanism is used to evaluate the object as a whole at the top level. The problem is solved by the method of nested scalar convolutions of vector-valued criteria. The methodology of the problem solving is based on the complementarity principle by N. Bohr and the theorem of incompleteness by K. Gödel.

Keywords: hierarchical structure, nested scalar convolutions, multicriteria approach, decomposition; composition

Link:

A HIERARCHICAL APPROACH TO MULTICRITERIA PROBLEMS

Albert Voronin, Yuriy Ziatdinov, Igor Varlamov

http://www.foibg.com/ijita/vol21/ijita21-04-p02.pdf

Abstract: The optimization problem of functioning of the producing similar products enterprise is considered. For its solution proposed multiagent technology, the use of which will make informed decisions about the expansion of production, reduction, and so branching. Models of the enterprise functioning in a competitive environment are constructed.

Keywords: enterprise, interaction, models, multiagent technology.

ACM Classification Keywords: I.2.11 Distributed Artificial Intelligence – Multiagent Systems.

Link:

INTELLECTUAL INFORMATION SUPPORT OF BRANCH ENTERPRISE EXECUTIVES’ DECISION MAKING PROCESSES

Aleksey Voloshyn, Bogdan Mysnyk, Vitaliy Snytyuk

http://www.foibg.com/ijita/vol21/ijita21-04-p01.pdf

Аннотация. Описываются средства структуризации информационных массивов на основе использования растущих пирамидальных сетей. Приводятся примеры обработки информации на сайте ОСТРОВ ЗНАНИЙ.

Ключевые слова: структуризация естественно-языкового текста, представление и обработка знаний.

ACM Classification Keywords: I.2 ARTIFICIAL INTELLIGENCE - I.2.4 Knowledge Representation Formalisms and Methods, K.3 COMPUTERS AND EDUCATION - K.3.1 Computer Uses in Education

Link:

МЕТОДИКА ИСПОЛЬЗОВАНИЯ СРЕДСТВ СТРУКТУРИЗАЦИИ УЧЕБНОГО МАТЕРИАЛА

Сулима Е.Н., Миленин В.М

http://www.foibg.com/ijita/vol17/ijita17-4-p09.pdf

Abstract: It is difficult to exaggerate the importance, the urgency and complexity of “good” classifications creation, especially in knowledge management, artificial intelligence, decision making. To what extend it is possible within a short paper, the peculiarities and advantages of the new system method of the systemological classification analysis for the classifications of concepts creation were discussed. It is noted that the applying of the natural classification criteria improves considerably the quality and the power of the classification knowledge models and ontologies, allows taking into account the deep knowledge of any, including ill-structured, domains. In the process of the research conduction the system models of the domain fragment of the ontologies on the basis of the parametric classification were created. Some results of the actual domain “Social Networks in Internet” analysis and modelling and the ontology fragments, realized in the ontologies engineering tool Protégé 3.2, are also considered. The systemological classification analysis application has allowed proving the obtained classifications of social networks functions, taking into account the objects essential properties. It has also successfully recommended itself for deep knowledge acquisition; the basic hierarchy of classes, “good” classifications and ontologies creation; possesses predictive power, simple logically relevant structure, ensures the possibility of the correct inference on knowledge.

Keywords: conceptual knowledge, knowledge systematization, natural classification, ontology, systemological classification analysis, social network, hierarchy, systemology, artificial intelligence.

ACM Classification Keywords: 1.2 Artificial Intelligence – 1.2.6 Learning: Knowledge Acquisition

Link:

CONCEPTUAL KNOWLEDGE MODELING ON THE BASIS OF NATURAL CLASSIFICATION

Mikhail Bondarenko, Kateryna Solovyova, Andrey Danilov

http://www.foibg.com/ijita/vol17/ijita17-4-p08.pdf