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The concept of Internet of Things appeared several years ago and in that time has evolved into one of pillars of the new technologies sector. The next step is to add the artificial intelligence to Internet of Things systems. Artificial intelligence is increasingly used in everyday life. It is a concept of a wide range and applies in practice in many fields of science. The aim of presented paper was...
Agent Based Modeling and Simulation (ABMS) is considered an effective approach for conducting simulation studies in many fields. In order to develop high quality simulation models, methodological approaches are demanded. In such direction we are moving by proposing a heuristic for the formalization of agent based simulation problems. The proposed heuristic is based on some guidelines developed for...
The paper is devoted to the problem of temporal knowledge validation and verification during the process of implementing a system supporting organizational creativity. The motivation for implementing a temporal knowledge base system is presented, the implementation methodology is outlined, and the V&V (validation&verification) process is described in detail, using an example of the Logos reasoning...
The increasing diversity of end-devices used by users to access their applications and systems strengthens the need for device-independent methods for implementing these applications. The Device-Independent Architecture (DIA) is one of the available approaches to this problem, but it does not directly address the issue of user interface (UI) device-independency. This issue can be addressed by real-time...
The widespread use of the HTTP and hypertext makes it possible to freely publish new information and expose it in the context of its description. Unfortunately, this is a human-centric environment that cannot easily be adapted to an application-centric approach, which is required to provide distributed enterprise management and real-time process control. In this article new architecture is presented...
In the field of data analysis, the use of metrics is a classical way to assess pairwise similarity. Unfortunately the popular distances are often inoperative because of the noise, the multidimensionality and the heterogeneous nature of data. These drawbacks lead us to propose a similarity index based on fuzzy set theory. Each object of the dataset is described with the vector of its fuzzy attributes...
Modern organizations, knowledge-based organizations in particular, seek new IT solutions supporting business processes and knowledge management realized by them. One of the solutions, postulated by the authors supporting the actions of such organizations may be computer software in the form of software agents, considered in our study in terms of software agents society. The purpose of this article...
We introduce the principles of symbolization and conceptualization of perceived reality. We show them as processes that are applicable inside of a computer mind. We derive those processes from principles of a human mind. We present process of higher order regular abstraction and state automata acceptance as possible machine reality realization mechanism. We present the algorithm for evolution of machine...
Recurrent drift, as a specific type of concept drift, is characterised by the appearance of previously seen concepts. Therefore, in those cases the learning process could be saved or at least minimized by applying an already trained classification model. In this paper we propose Fuzzy-Rec, a framework that is able to deal with recurrent concept drifts by means of a repository of classification models...
The term Projectional editor is commonly used for tools that can work directly with the program's abstract syntax tree. They are able to provide different views of the program, according to the specific editor used. The ability to look at the program from multiple views is often requested as a mean to simplify program comprehension. During their evolution, the Integrated Development Environments were...
The paper presents considerations on the concept of big data. The aim of the paper is to confront the attempts of defining big data with its common understanding by different groups of users. In this research the group of respondents are students of Warsaw University of Economics. The authors advocate that the student's opinion and attitude to big data can be important regarding the fact that they...
This paper is devoted to the cloud computing model and the opportunities and challenges connected with its utilization by business organizations, including the most significant issues related to the cloud migration strategy. It is composed of five parts. In the first, some facts concerning cloud computing as a new technology and the reasons for organizations using this type of computing model are...
We propose a novel software platform based on the notion of context-awareness which allows rapid and easy development of context aware applications. One of the fundamental goals of the proposed platform is extensibility, allowing the platform to react to new requirements without making fundamental and substantial changes. The Context Aware Application Development Platform- PCAD- has inspired from...
An idea of contextual classifier ensembles extends the application possibility of additional measures of quality of base and ensemble classifiers in the process of contextual ensembles design. These measures besides the obvious classifier accuracy and diversity/similarity take under consideration the complexity, interpretability and significance. The complexity (the number of used measures and multi...
The paper describes a method of supervised context classification for an industrial machinery. The main objective of this study is to compare single and ensemble classifiers in order to classify groups of contexts which are based on an operating state of the device. The applied research was conducted with the assumption that only classic and well-practised classification methods would be adopted....
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