By Eleni Mangina, Javier Carbo, Jose Manuel Molina
Ubiquitous computing is the 3rd wave in computing, the place the common use of latest cellular technology-implementing instant communications comparable to own electronic assistants (PDAs) and shrewdpermanent telephones permits a brand new kind of complicated functions. long ago years, the main target of study in cellular prone has geared toward the each time, anyplace precept (ubiquitous computing). notwithstanding, there's extra to it than that.
The expanding call for for dispensed challenge fixing resulted in the advance of multi-agent platforms. The latter are shaped from a set of autonomous software program entities whose collective abilities could be utilized in advanced and real-time domain names. the objective of such structures is to illustrate how goal-directed, strong and optimum habit can come up from interactions among person self sufficient clever software program brokers. those software program entities convey features like autonomy, responsiveness, pro-activeness and social skill. Their performance and effectiveness has confirmed to be hugely depending on the layout and improvement of the appliance area or context.
Context is the set of appropriate environmental states and settings pertaining to a person, that is correct for a situation-sensitive software within the means of adapting the providers and knowledge provided to the consumer. Agent know-how appears the fitting know-how to supply the opportunity of exploring the dynamic context of the consumer so that it will supply value-added providers or to execute extra and intricate projects. during this appreciate, agent-based ubiquitous computing can make the most of marrying the agent-based expertise with the wide use of dispensed performance, to be deployed for light-weight units. It additionally allows the combo of ubiquity and intelligence in several software components and permits to process a number of learn issues in machine technology, man made intelligence and engineering from a brand new perspective.
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Extra resources for Agent-based ubiquitous computing
In addition to improving their effectiveness in working with humans, robots can also harness social interaction for learning practical skills, for example, through imitation [Billard and Dautenhahn (1999)]. While all these applicative scenarios suggest different degrees of autonomy and intelligence (skills like mobility, grasping, vacuuming and object recognition), they also open up the common question of what specific capabilities are necessary for a robot to socially interact with humans and what the general issues imposed by such a new social context are.
2005)] reviewed in the previous section is a good example of ubiquitous space that can be thought as the result of the superimposition of two sub-spaces, namely: the real and the virtual sub-space. g. ), in order to recreate the same robotenvironment dynamic of real experiments. On the other hand, in order to be employable as effective social characters in real environments, virtual characters, in systems such as Nexus and UbiAgent, need to perceive not only the position (for gaze behaviour [Wagner et al.
In both cases, facing the user is possible because the animation activities know the position and the orientation of the user in relation to the robot-centric frame of reference. 5 Discussion In general, through its SoSAA-based implementation, MiRA Chameleons can easily adapt to different users, different robots, and different applications, as there is no pre-defined coupling between the robot and the appearance and behaviour of its associated virtual character. Instead, thanks to the agent-based coordination described in the previous section, the system as a whole can take contextsensitive decisions in order to deliver a personalised, adaptive, augmented HRI interface.
Agent-based ubiquitous computing by Eleni Mangina, Javier Carbo, Jose Manuel Molina