Search results for " informazioni"

showing 10 items of 838 documents

Anchoring symbols to conceptual spaces: the case of dynamic scenarios.

2003

In recent years, there have been several proposals for the realization of models inspired to biological solutions for pattern recognition. In this work we propose a new approach, based on a hierarchical modular structure, to realize a system capable to learn by examples and recognize objects in digital images. The adopted techniques are based on multiresolution image analysis and neural networks. Performance on two different data sets and experimental timings on a single instruction multiple data (SIMD) machine are also reported.

Conceptual spaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniAnchoringComputer sciencebusiness.industryGeneral MathematicsRepresentation (systemics)AnchoringComputer Science Applications1707 Computer Vision and Pattern RecognitionCognitive architectureComputer Science ApplicationsAction representationRobot visionControl and Systems EngineeringSituation calculuMathematics (all)Artificial intelligenceSituation calculusbusinessCognitive roboticsSoftware
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Grounding ontologies in the external world

2017

The paper discusses a case study of grounding an ontology in the external world by a cognitive architecture for robot vision developed at the RoboticsLab of the University of Palermo. The architecture aims at representing symbolic knowledge extracted from visual data related to static and dynamic scenarios. The central assumption is the principled integration of a robot vision system with a symbolic system underlying the knowledge representation of the scene. Such an integration is based on a conceptual level of representation intermediate between the sub-symbolic processing of visual data and the declarative style employed in the ontological representation.

Conceptual spaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer Science (all)Symbol grounding
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Conceptual spaces for computer vision representations

2001

A framework for high-level representations in computer vision architectures is described. The framework is based on the notion of conceptual space. This approach allows us to define a conceptual semantics for the symbolic representations of the vision system. In this way, the semantics of the symbols can be grounded to the data coming from the sensors. In addition, the proposed approach generalizes the most popular frameworks adopted in computer vision.

Conceptual spaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniLinguistics and LanguageHigh level computer visionArtificial IntelligenceComputer vision representationLanguage and Linguistic
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An algebra for the manipulation of conceptual spaces in cognitive agents

2013

According to Gärdenfors, the theory of conceptual spaces describes a level of representation present in some cognitive agents between a sub-conceptual and a symbolic level of representation. In contrast to a large part of contemporary philosophical speculation on these matters for which concepts and conceptual content are propositional, conceptual spaces provide a geometric framework for the representation of concepts. In this paper we introduce an algebra for the manipulation of different conceptual spaces in order to formalise the process whereby an artificial agent rearranges its internal conceptual representations as a consequence of its perceptions, which are here rendered in terms of …

Conceptual spaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniProcess (engineering)Computer scienceCognitive NeuroscienceConceptual model (computer science)Representation (systemics)Experimental and Cognitive PsychologyCognitionCognitive agentSettore M-FIL/02 - Logica E Filosofia Della ScienzaCognitive agentsConceptual schemaAlgebraConceptual frameworkArtificial IntelligenceConceptual graphConceptual systemConceptual spaces
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Physical integration: A causal account for consciousness

2014

The issue of integration in neural networks is intimately connected with that of consciousness. In this paper, integration as an effective level of physical organization is contrasted with a methodological integrative approach. Understanding how consciousness arises out of neural processes requires a model of integration in just causal physical terms. Based on a set of feasible criteria (physical grounding, causal efficacy, no circularity and scaling), a causal account of physical integration for consciousness centered on joint causation is outlined.

Consciousnessmedia_common.quotation_subjectModels NeurologicalintegrationperceptionCognitionPerceptionHumansCausationSet (psychology)media_commonNeuronsSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniCognitive sciencewholephysicalismUnityArtificial neural networkGeneral NeuroscienceGeneral MedicinePhysicalismconsciousneCausal efficacyConsciousnessPsychologySocial psychologyJournal of Integrative Neuroscience
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Towards human cell simulation

2019

The faithful reproduction and accurate prediction of the phe-notypes and emergent behaviors of complex cellular systems are among the most challenging goals in Systems Biology. Although mathematical models that describe the interactions among all biochemical processes in a cell are theoretically feasible, their simulation is generally hard because of a variety of reasons. For instance, many quantitative data (e.g., kinetic rates) are usually not available, a problem that hinders the execution of simulation algorithms as long as some parameter estimation methods are used. Though, even with a candidate parameterization, the simulation of mechanistic models could be challenging due to the extr…

Constraint-based modelingAgent-based simulation; Big data; Biochemical simulation; Computational intelligence; Constraint-based modeling; Fuzzy logic; High-performance computing; Model reduction; Multi-scale modeling; Parameter estimation; Reaction-based modeling; Systems biology; Theoretical Computer Science; Computer Science (all)Computer scienceBiochemical simulationDistributed computingSystems biologyBig dataComputational intelligenceContext (language use)ING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONITheoretical Computer ScienceReduction (complexity)Big dataParameter estimationHigh-performance computingComputational intelligenceAgent-based simulationMathematical modelbusiness.industryModel reductionComputer Science (all)Multi-scale modelingINF/01 - INFORMATICASupercomputerVariety (cybernetics)Fuzzy logicReaction-based modelingbusinessSystems biology
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Perceived-Value-driven Optimization of Energy Consumption in Smart Homes

2020

Residential energy consumption has been rising rapidly during the last few decades. Several research efforts have been made to reduce residential energy consumption, including demand response and smart residential environments. However, recent research has shown that these approaches may actually cause an increase in the overall consumption, due to the complex psychological processes that occur when human users interact with these energy management systems. In this article, using an interdisciplinary approach, we introduce a perceived-value driven framework for energy management in smart residential environments that considers how users perceive values of different appliances and how the us…

Consumption (economics)Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniDependency (UML)Computer Networks and CommunicationsComputer scienceEnergy managementHeuristic020209 energy02 engineering and technologyEnergy consumptionIndustrial engineeringComputer Science ApplicationsDemand responseHardware and Architecture020204 information systemsValue (economics)Smart homes energy consumption perceived-value driven optimization0202 electrical engineering electronic engineering information engineeringInteger programmingSoftwareInformation Systems
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Blogging as a research and educational tool: a three years experience

2008

Abstract Blogging can be also used to share knowledge in research and education. We have been using many blogs with the following purposes. One goal has been to raise awareness about research methods in the information technology field by supporting information exchange, collaboration, and cooperation between researchers. We have been using a common blog for 3 years to share inter- and intra disciplinary knowledge among us. We have also collected stories and interviewed colleagues and friends. An other goal is the use of blogs during our teaching experience as an instrument to support the exchange of knowledge with students. A comparison of the use of blogging is presented with positive and…

Cooperative learningSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniE-learning; Education; Research methods; Cooperative learning; Blogbusiness.industryE-learning (theory)Information technologyPublic relationsCooperative learningE-learningEducationSettore ING-INF/04 - AutomaticaPolitical scienceBlogbusinessE-learning Education Research methods Cooperative learning BlogDisciplineInformation exchangeResearch methods
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Innovative techniques for survey and communication of cultural heritage

2008

This paper deals with the survey and communications of Cultural Heritage through the development of innovative methodologies. The case of study is the polychrome wooden ceiling in the “Magna” Hall of “Palazzo Steri”. The “Steri”, built in the XIVth century by the noble family Chiaromonte, is at the present the headquarter of the Rector’s Office of Palermo University. A 3D model of the wooden ceiling has initially been carried out with laser-scanning and digital photogrammetric techniques; successively a multimodal interactive guide has been realized. The guide is integrated to the 3D model, so that visitors can navigate the virtual representation of the ancient wood ceiling and achieve, int…

Cultural Heritage Photogrammetry Laser scanning Modelling Visualization Virtual Reality Artificial Intelligence.Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore ICAR/17 - DisegnoSettore ICAR/06 - Topografia E Cartografia
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A Hybrid Recommender System for Cultural Heritage Promotion

2021

Assisting users during their cultural trips is paramount in promoting the heritage of a territory. Recommender Systems offer the automatic tools to guide users in their decision process, by maximizing the adherence of the proposed contents with the particular preferences of every single user. However, traditional recommendation paradigms suffer from several drawbacks which are exacerbated in Cultural Heritage scenarios, due to the extremely wide range of users behaviors, which may also depend on their different educational backgrounds. In this paper, we propose a Hybrid recommender system which combines the four most common recommendation paradigms, namely collaborative filtering, popularit…

Cultural heritageWorld Wide WebSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniPromotion (rank)Computer sciencemedia_common.quotation_subjectCollaborative filteringTRIPS architectureRecommender systemDecision processCultural heritage Recommender systemsPopularitymedia_common
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