By Carlos Ramos, Paulo Novais, Céline Ehrwein Nihan, Juan M. Corchado Rodríguez

Ambient Intelligence (AmI) is a contemporary paradigm rising from synthetic Intelligence (AI), the place desktops are used as proactive instruments aiding individuals with their day by day actions, making everyone’s lifestyles extra comfortable.

Another major quandary of AmI originates from the human machine interplay area and specializes in delivering how one can have interaction with structures in a extra common method via skill consumer pleasant interfaces. This box is evolving fast as may be witnessed by means of the rising typical language and gesture established varieties of interaction.

The inclusion of computational strength and communique applied sciences in daily gadgets is starting to be and their embedding into our environments may be as invisible as attainable. to ensure that AmI to achieve success, human interplay with computing strength and embedded structures within the atmosphere may be delicate and take place with out humans truly noticing it. the single information humans must have arises from AmI: extra protection, convenience and well being, rising in a common and inherent way.

ISAmI is the foreign Symposium on Ambient Intelligence and aiming to assemble researchers from a number of disciplines that represent the medical box of Ambient Intelligence to offer and speak about the newest effects, new rules, tasks and classes discovered, particularly by way of software program and functions, and goals to assemble researchers from a number of disciplines which are drawn to all features of this area.

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The Banzhaf index Bz(i) = |Ci |/ i∈N |Ci | and the Shapley-Shubik index SS(i) = ( S∈Ci (|S| − 1)! , where Ci = {S ∈ W | S\{i} ∈ / W}. Power indices, in influence games, can be considered centrality measures because an actor is more central in a network while more necessary is for generating of winning coalitions. Moreover, influence games also provide other new criteria to determine measures of centrality. Let f (S) = i∈S f (i), for a coalition S ⊆ N . 1 17 14 2 6 15 16 18 0 19 20 2 4 6 8 10 12 Monkeys 14 16 18 20 Fig.

Riquelme, and M. Serna Table 1. 500 are not good representatives. , actors do not require too many restrictions to form winning coalitions, then all the non-isolated nodes have the same value. However, for the other cases in which differences between influence are relevant, only the pair of monkeys (10, 17) and (13, 15) assume the same value for Bz, SS and CS , allowing a more relevant classification. Dining-table partners. This network represents the companion preferences of 26 girls living in one cottage at a New York state training school [11,2].

This paper analyses and validates the impact of using gamification techniques for improving eco-driving learning. The proposal uses game mechanisms such as the score and achievements systems in order to encourage the driver to drive efficiently. The score is calculated using fuzzy logic techniques that allow us to evaluate the driver in a similar way as a human being would do. We also define the eco-driving tips that are issued while driving in order to help the driver to improve the fuel consumption.

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