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Episodic memory can store time sequential events and retrieve them anytime with specific cues. However, if the episodic memory only stores events comprised of actions and objects, execution of episodes may fail if current situation is different from the settings it learned in. As a solution, we propose Deep C-ART (Context-Adaptive Resonance Theory) which considers not only time sequential events but...
In this paper we present the computational study of one class of discrete models of collective behavior. In the context of these models a set of agents, that form a collective, is represented by a network. Each agent is assigned a special weight function. The behavior of a collective in discrete time moments is specified with a vector function, the coordinates of which are defined by values of agents...
Software-as-a-Service applications commonly consolidate multiple businesses into the same database to reduce costs. This practice makes it harder to implement several essential features of enterprise applications. The first is support for master data, which should be shared rather than replicated for each tenant. The second is application modification and extension, which applies both to the database...
This paper proposes a new method of contextual data analysis to structuralize complex communications using an encoding method composed of biological molecules. In a modern and advanced information technology society, managers, executives, employees, and other related business and organizational groups or departments often need to exchange and provide information with each other about the complex contexts...
In this paper we discuss the use of compression algorithms for author identification. We present the basic background about compression algorithms and introduce the prediction by partial matching algorithm, which has been used in our experiments. To better compare the results produced by the PPM algorithm, we present some experiments using stylometric features used very often by forensic examiners...
The continuous evolution of wireless systems has resulted in a number of new and powerful wireless networking standards. The concept of Beyond the Third Generation Systems (B3G) emerged in an attempt to exploit the variety of the available access standards to the benefit of end-users, operators and manufacturers. In this context, a key topic in the research area of B3G/4G networks is related to mechanisms...
This paper presents an agent-based approach for realizing a new generation of intelligent environments referred to as adaptive ambient ecologies. These are highly distributed systems, which require new ways of communication and collaboration in order to support the realization of people's tasks. We use three types of agents for the main functions of planning, adaptation and interaction. The knowledge...
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