1,721,179 research outputs found
A Distributed, Self-Adaptive Model of Hypermedia System
In this paper we discuss a distributed user model architecture suitable for hypermedia systems. In this architecture, the user knowledge is spread over a collection of autonomous actors, cooperating in a way which provides, through collaborative activities, a global, dynamic user model. Separate duties and knowledge, combined with asynchronous and concurrent processing, augment the adaptivity and the efficiency of the platform, avoiding the drawbacks of more traditional centralized approaches. Our goal was to enrich an existing hypermedia architecture with an appropriate user model activity, conceived and realized with the same design perspective of the underlying system, the actor-level design approach. The organizational structure has been defined by extending a previous hypermedia system model without redesigning the overall architecture. The prototype has been tested with success as an adaptive hypermedia interface in a logic object-oriented programming environment
Understanding the composition and evolution of terrorist group networks: A rough set approach
Nowadays, many resources for counter-terrorism operations are available for researchers belonging to different areas. In particular, the START project provides the Global Terrorism Database (GTD) that can be analyzed in order to provide, for instance, prediction models. The main idea underlying this work is using the historical data provided by GTD, which offers information related to terrorist attacks perpetrated since 1970, in order to conceptualize the behaviors of terrorist groups in specific time intervals. Such conceptualizations are, subsequently, used to understand the similarity between terrorist groups and elicit relations to represent terrorists' networks. The above networks can be used to study the temporal evolutions of terrorist groups' behaviors by applying the approach in different time periods along the timeline and studying differences among the resulting networks. The approach is mainly based on Rough Set Theory and Three-way Decisions Theory and provides an original similarity function based on the definition of boundary regions. (C) 2019 Elsevier B.V. All rights reserved
A fuzzy approach to Adaptive Hypermedia
In this paper we present an open, concurrent model of adaptive hypermedia; all its functionality and data are completely distributed on a web of autonomous actors. The model that enables the system to the interactive adaptivity is a fuzzy stereotype-based user model; its presentation and application are exploited in the cooperative actor-based environment, generated from the hypermedia model. The merge of these two paradigms offers a new concurrent and fuzzy approach in the adaptive hypermedia system domain
A proposal of an open ubiquitous fuzzy computing system for ambient intelligence
Ambient Intelligence (AmI) is considered as the composition of three emergent technologies: Ubiquitous Computing, Ubiquitous Communication and Intelligent User Interfaces. The aim of integration of aforesaid technologies is to make wider the interaction between human beings and information technology equipment through the usage of an invisible network of ubiquitous computing devices composing dynamic computational-ecosystems capable of satisfying the users' requirements. Many works focus the attention on the interaction from users to devices in order to allow an universal and immediate access to available content and services provided by the environment. This paper, vice versa, focuses on the reverse interactions, from devices to users, in order to realize a collection of autonomous control services able to minimize the human effort. In particular, thanks to a hybrid approach based on Computational Intelligence methodologies and standard Semantic Web technologies, we will describe how ubiquitous devices are able to find the suitable set of 'intelligent' services in a transparent way. © 2007 Springer-Verlag Berlin Heidelberg
An enhanced visual environment for designing, testing and developing FML-based fuzzy systems
Fuzzy Logic Controllers (FLCs) represent one of the most successful methodologies exploiting fuzzy logic to model complex systems characterized by ambiguity and vagueness. Fuzzy logic applied in the control theory allows to reduce the complexity of the FLC design process thanks to the linguistic representation of the systems’ behaviour. However, in spite of their benefit, the implementation of FLCs is affected by a significant drawback, i.e., the strong dependence on hardware architecture. In order to overcome this limitation, an XML-based language, named Fuzzy Markup Language (FML), has been introduced. FML allows designers to model FLCs in a human-readable and hardware-independent way. FML benefits arise from the exploitation of an alternative representation of a FLC based on labeled trees, data structure derived from XML-based document representation. However, this new graphical FLC representation can be exploited to implement an enhanced visual environment which allows designers to easily model a FLC through visual steps. This chapter is devoted, firstly, to present the new graphical representation of a FLC based on labeled trees, and, secondly, to describe the implemented framework, named Visual FML Tool, capable of exploiting labeled tree benefits by achieving a twofold purpose: the simplification of the FLC design through simple visual steps and a hardware-independent FLC modeling thanks to the direct mapping of the FLC labeled tree in a FML progra
Actor Computing & Awareness for Collaborative Workgroups: A general model and its Web application
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