1,721,221 research outputs found
A gesture recognition framework for exploring museum exhibitions
No full textIn this paper we present a gesture recognition framework for providing the visitors of a museum exhibition with a non intrusive interface for the multimedia enjoyment of digital contents. Early experiments were carried out at the Computer History Museum Exhibition of the University of Palermo
A cognitive architecture for artificial vision
No full textAbstractA new cognitive architecture for artificial vision is proposed. The architecture, aimed at an autonomous intelligent system, is cognitive in the sense that several cognitive hypotheses have been postulated as guidelines for its design. The first one is the existence of a conceptual representation level between the subsymbolic level, that processes sensory data, and the linguistic level, that describes scenes by means of a high level language. The conceptual level plays the role of the interpretation domain for the symbols at the linguistic levels. A second cognitive hypothesis concerns the active role of a focus of attention mechanism in the link between the conceptual and the linguistic level: the exploration process of the perceived scene is driven by linguistic and associative expectations. This link is modeled as a time delay attractor neural network. Results are reported obtained by an experimental implementation of the architecture
A cognitive architecture for ambient intelligence systems
Full text linkNowadays, the use of intelligent systems in homes and workplaces is a well-established reality. Research efforts are moving towards increasingly complex Ambient Intelligence (AmI) systems that exploit a wide variety of sensors, software modules and stand-alone systems. Unfortunately, using more data often comes at a cost, both in energy and computational terms. Finding the right trade-off between energy savings, information costs and accuracy of results is a major challenge, especially when trying to integrate many heterogeneous modules. Our approach fits into this scenario by proposing an ontology-based AmI system with a cognitive architecture, able to perceive the state of the surrounding environment, to reason on the current situation and act accordingly to modify the state of the environment based on the user’s preferences
Conceptual representations of actions for autonomous robots
No full textAn autonomous robot involved in long and complex missions should be able to generate, update and process its own plans of action. In this perspective, it is not plausible that the meaning of the representations used by the robot is given from outside the system itself. Rather, the meaning of internal symbols must be firmly anchored to the world through the perceptual abilities and the overall activities of the robot. According to these premises, in this paper we present an approach to action representation that is based on a "conceptual" level of representation, acting as an intermediate level between symbols and data coming from sensors. Symbolic representations are interpreted by mapping them on the conceptual level through a mapping mechanism based on artificial neural networks. Examples of the proposed framework are reported, based on experiments performed on a RWI-B12 autonomous robot. © 2001 Elsevier Science B.V
Using and Extending the SPEM Specifications to Represent Agent Oriented Methodologies.
No full textSituational Method Engineering used for constructing adhoc agent oriented design processes is grounded on a well defined set of phases that are principally based on reuse of components coming from existing agent design processes; these components have to be stored in a repository. The identification and extraction of these components could take large advantages from the existence of a standardized representation of the design processes they come from. In this paper we illustrate our solution based on SPEM 2.0 specifications for modelling agent design processes and extending them when necessary to meet the specific needs we faced in our experiments
Nuove tecnologie, attivismo telematico e società civile: un difficile rapporto dagli esiti talvolta incivili
No full textL'articolo è suddiviso nel seguente modo: i paragrafi 1 e 2 sono di Antonio La Spina. I restanti 3, 4, 5 e 6 di Anna Fici. Vi si affronta il tema delle modificazioni culturali imposte alla società civile dalla nuova realtà telematica, globalizzata e globalizzante. Si prendono in considerazione i valori che hanno dato senso alla diffusione della rete; valori portati avanti da tutta un'ampia costellazione di movimenti che nel loro insieme costituiscono l'attivismo telematico e che hanno profondamente contribuito all'affermarsi di un nuovo concetto e di nuove pratiche di partecipazione politica
A cognitive architecture for robot self-consciousness
No full textObjective: One of the major topics towards robot consciousness is to give a robot the capabilities of self-consciousness. We propose that robot self-consciousness is based on higher order perception of the robot, in the sense that first-order robot perception is the immediate perception of the outer world, while higher order perception is the perception of the inner world of the robot.
Methods and material: We refer to a robot cognitive architecture that has been developed during almost 10 years at the RoboticsLab of the University of Palermo. The architecture is organized in three computational areas. The subconceptual area is concerned with the low level processing of perceptual data coming from the sensors. In the linguistic area, representation and processing are based on a logic formalism. In the conceptual area, the data coming from the subconceptual area are organized in conceptual categories.
Results: To model higher order perceptions in self-reflective agents, we introduce the notion of second-order points in conceptual space. Each point in this space corresponds to a self-reflective agent, i.e., the robot itself, persons, and other robots with introspective capabilities.
Conclusions: The described model of robot self-consciousness, although effective, highlights open problems from the point of view of the computational requirements of the current state-of-art computer systems. Some future works that lets the robot to summarize its own past experiences should be investigated
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