Knowledge Management Architecture - Principles and Tendencies

Algorithmic research is an established knowledge engineering process that has allowed researchers to identify new or significant problems, to better understand existing approaches and experimental results, and to obtain new, effective and efficient solutions. While algorithmic researchers regularly contribute to this knowledge base by proposing new problems and novel solutions, the processes currently used to share this knowledge are inefficient, resulting in unproductive overhead. Most of these publication-centered processes lack explicit high-level knowledge structures to support efficient knowledge management. The authors describe a problem-centered collaborative knowledge management architecture associated with Computational Problem Solving (CPS).Knowledge Management Architecture, algorithmic research, ontology, Knowledge-Based Systems

Emotions in human-computer interaction: the role of nonverbal behaviour in interactive systems

Until recently, the area of human-computer interaction was based on a traditional, cognitive approach, which separated the study of usability from that of emotions. The recent research has shown that emotions play an important role in our life, which led to focusing on the need of studying the emotions in the domain of interactive design. This paper underlines the role of emotions as part of the interactive human-computer process, reinstating the importance of nonverbal communication in this domain. The main issues of this paper are concerned with aspects such as: emotional design approach, the importance of nonverbal as an instrument of usability evaluation and the role of emotions in human-computer interaction.Emotional design approach, nonverbal communication, emotions, usability, Human-Computer Interaction (HCI)

Contributions to Using IT in Education: An Educational Video Player

Following the trends of IT use in education we propose four main principles of educational application development: anytime-anywhere access (including access for mobile devices); user-generated content; assigning users an active role inside the platform; creating a correlation between natural activities and educational activities – adding fun into the equation. With these principles in mind we developed a small Educational Player – a movie player that connects to a database to show information relevant to the events in the movie, more specific to the exact key-frame (in the movie time-line) at the moment of the request. Though the application is still in a conceptual form, its possibilities make us confident in its future success either as an informal way of learning, or by using it in a formal educational context either as an e-learning tool, either as interactivity tool in a traditional classroom setting.E-learning, Educational Technologies, Multimedia Applications

The Effect of Capital Market Liberalization in Eastern Europe: Economic Growth or Financial Crisis

The last 20 years have witnessed the financial liberalization of equity markets across the world which have opened the international financing path and resulted in risk diversification, capital cost decreases and investment growth. However, liberalization may have negative effects as well. It often played an important role in the incidence of banking and currency crises by increasing macroeconomic volatility to external shocks. The connection between financial fragility and economic growth can be associated with capital market liberalization. The main aim of this paper is to analyze the effect of financial liberalization in thirteen of Eastern Europe countries, by bringing these two views together. Many of the countries analyzed are post-communist economies that have been in transition in the selected period 1995 – 2007.capital market liberalization, economic growth

An Optimal Medium Access Control with Partial Observations for Sensor Networks

We consider medium access control (MAC) in multihop sensor networks, where only partial information about the shared medium is available to the transmitter. We model our setting as a queuing problem in which the service rate of a queue is a function of a partially observed Markov chain representing the available bandwidth, and in which the arrivals are controlled based on the partial observations so as to keep the system in a desirable mildly unstable regime. The optimal controller for this problem satisfies a separation property: we first compute a probability measure on the state space of the chain, namely the information state, then use this measure as the new state on which the control decisions are based. We give a formal description of the system considered and of its dynamics, we formalize and solve an optimal control problem, and we show numerical simulations to illustrate with concrete examples properties of the optimal control law. We show how the ergodic behavior of our queuing model is characterized by an invariant measure over all possible information states, and we construct that measure. Our results can be specifically applied for designing efficient and stable algorithms for medium access control in multiple-accessed systems, in particular for sensor networks

When rule-based models need to count

Rule-based modelers dislike direct enumeration of cases when more efficient means of enumeration are available. We present an extension of the Kappa language which attaches to agents a notion of level. We detail two encodings that are more concise than the former practice

Reversible Barbed Congruence on Configuration Structures

A standard contextual equivalence for process algebras is strong barbed congruence. Configuration structures are a denotational semantics for processes in which one can define equivalences that are more discriminating, i.e. that distinguish the denotation of terms equated by barbed congruence. Hereditary history preserving bisimulation (HHPB) is such a relation. We define a strong back and forth barbed congruence using a reversible process algebra and show that the relation induced by the back and forth congruence is equivalent to HHPB, providing a contextual characterization of HHPB.Comment: In Proceedings ICE 2015, arXiv:1508.0459

The SGIA and the Common Growing Language

Human or virtual agents are presented in our lives daily. They serve our purposes and represent us in different many situations. Nowadays the number of virtual agents is increasing daily because they are cheaper, faster and more accurate than human agents. Our aim in this article is to define a new type of intelligent agent called SGIA – Self Growing Intelligent Agent and a new defining language for it. The SGIA agent is an intelligent agent with all the common agents’ characteristics and with other special one: that to learn and grow by itself in knowledge and size.Software Agent, Knowledge Management, Education Process, Language Development

Lossy network correlated data gathering with high-resolution coding

Sensor networks measuring correlated data are considered, where the task is to gather data from the network nodes to a sink. A specific scenario is addressed, where data at nodes are lossy coded with high-resolution, and the information measured by the nodes has to be reconstructed at the sink within both certain total and individual distortion bounds. The first problem considered is to find the optimal transmission structure and the rate-distortion allocations at the various spatially located nodes, such as to minimize the total power consumption cost of the network, by assuming fixed nodes positions. The optimal transmission structure is the shortest path tree and the problems of rate and distortion allocation separate in the high-resolution case, namely, first the distortion allocation is found as a function of the transmission structure, and second, for a given distortion allocation, the rate allocation is computed. The second problem addressed is the case when the node positions can be chosen, by finding the optimal node placement for two different targets of interest, namely total power minimization and network lifetime maximization. Finally, a node placement solution that provides a tradeoff between the two metrics is proposed