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My AI or Five Theses about Artificial Intelligence after its 50th Birthday

100%

Matwin S.

Roczniki Kolegium Analiz Ekonomicznych

2007

tom 17

9-18

AIn a search for lessons learned from 50 years of history of AI, this paper presents a brief, subjective and personal history of the field. It then introduces five theses-prescriptions for what makes good AI research. The theses stem form the author's understanding of successes and failures of the field, and from his own experience as a long-standing and active member of the AI community. The five theses promote practicality, embeddedness, empirical verification, mathematical foundation, and scrutiny.

Determinants of Economic Development Level - Structure and Its Stability

100%

Szufel P. , Witkowski D.

Roczniki Kolegium Analiz Ekonomicznych

2007

tom 17

85-100

Determinants of economic development in different countries are analyzed in the paper. According to the literature, the analyses of variables and factors underlying the different pace of economic growth in different countries reveal the complexity of processes driving different countries towards higher level of economic development. In the article the degree of dependencies between the level of economic development and various attributes including macroeconomic factors and human capital is measured in the years 1965 - 2003. Comparative analysis of World Development Indicators database published yearly by the World Bank is conducted on values of 695 attributes in 208 countries. The occurrence of missing data, motivated to use a set of tools for data exploration WEKA (Waikato Environment for Knowledge Analysis). Thus in addition, the problem of the applicability of data exploration tools for analyzing real data arising from economic processes was investigated.

Welfare Determinants: Educational, Occupational and Income Perspective

100%

Wojewnik P. , Zawisza M.

Roczniki Kolegium Analiz Ekonomicznych

2007

tom 17

63-84

In this paper an attempt to verify, whether the empirical data confirm the welfare determinants suggested in economic literature, like e.g. educational, geographical, behavioural features of the individual and his/her parents, see e.g. Wedgwood (1928). The analysis is conducted using machine learning tools and then the obtained results are compared with other studies. To ensure the possibility of such assessment the capability of interpretation in terms of natural language is needed and thus the knowledge in the form of classification rules is presented.

rofileSEEKER – system informatyczny wczesnego ostrzegania małych i średnich przedsiębiorstw przed bankructwem

100%

Burda A. , Cudek P. , Hippe Z. S.

Barometr Regionalny. Analizy i prognozy

2012

nr 3(29)

99-105

This paper presents the construction of the ProfileSEEKER – the information system for early warning small and medium-sized enterprises from bankruptcy. The developed system is a set of five classifiers, using a variety of topologies of artificial neural net-works and Bayes belief network, supported by supervised machine learning methods. System performance was evaluated using the original validation, called queue validation procedure.

O modelowaniu informatycznym ze szczególnym odniesieniem do badań nad sztuczną inteligencją

100%

Stacewicz P.

Zagadnienia Naukoznawstwa

2011

tom 47

nr 4(190)

481-501

This article treats about modeling different phenomena by means of concepts and tools elaborated in the computer science framework, mainly in that of Artificial Intelligence (AI). After having presented the notion of formalized computer science model (CSMd), we described general interactive modeling procedure (which consists of four stages: abstraction, formalization, simplification and verification). Then we characterize this procedure in the context limited to computer science. While discussing different types of CSMd, we focus on the domain of AI, e.g. we distinguish between rule-based models (often implemented as expert systems), network-based models (often implemented as artificial neural networks) and evolutionary models (often based using genetic algorithms). But, most importantly, we believe that machine learning tools (as part of the AI domain) could and, as the matter of fact, should be used in order to automate each of the stages of the proposed interactive modeling procedure.