Agents Displacement in Arbitrary Geometrical Spaces: An Evolutionary Computation based Approach

In many different social contexts, communication allows a collective intelligence to emerge. However, a correct way of exchanging information usually requires determined topological configurations of the agents involved in the process. Such a configuration should take into account several parameters, e.g. agents positioning, their proximity and time efficiency of communication. Our aim is to present an algorithm, based on evolutionary programming, which optimizes agents placement on arbitrarily shaped areas. In order to show its ability to deal with arbitrary bi-dimensional topologies, this algorithm has been tested on a set of differently shaped areas that present concavities, convexities …

Can you feel it will you tell me. Encouraging sentiment expression on the web

In a recent trend in web communication, news outlets and blog platforms allow readers to express opinions about what they have read by choosing an associated feeling, or sentiment ex- pression. This emerging trend, fitting between liking and full text comments, has not still found the popularity it should. The thesis of this paper is that this is also due to the way the sen- timent choice is presented to the user. In order to test this hy- pothesis we have devised a pilot experiment; results confirm that a simpler way of choice increases sentiment expression and yields result that are more aligned with ground truth.

L'Opinion Mining nelle Scienze Cognitive: espressione dei sentimenti e reti sociali

Towards a fuzzy-linguistic based social network sentiment-expression system

Liking allows users of Social Networks, blogs and online magazines to express their support of posts and artifacts by a simple click. Such function is very popular but lacks semantic power, and some platforms have augmented it by allowing to choose a pictographic depiction corresponding to a feeling. What is gained in depth is lost in simplicity, and the wide acceptance liking has enjoyed did not carried to the sentiment version. We outline a sentiment-expression hybrid system based on textual analysis and linguistic fuzzy Markov chains overcoming the intrinsic limitations of liking without burdening the user with complex choices.

Supplementary material 1 from: Bartolucci F, Domina G, Adorni M, Andreatta S, Angiolini C, Bacchetta G, Banfi E, Barberis D, Bertani G, Bonari G, Buccomino G, Calvia G, Caputo P, Cavallaro V, Conti F, Cuena-Lombraña A, D'Aleo F, D'Amico FS, De Fine G, Del Guacchio E, De Matteis Tortora M, De Santis E, Fois M, Di Pietro F, Di Pietro R, Fanfarillo E, Fiaschi T, Forte L, Galasso G, Laface VLA, Lallai A, Lonati M, Longo C, Longo D, Magrini M, Mei G, Menghi L, Menini F, Morabito A, Musarella CM, Nota G, Palermo DC, Passalacqua NG, Pazienza G, Peruzzi L, Pierini B, Pinzani L, Pisani G, Polverelli L, Prosser F, Salerno G, Salerno P, Santi F, Selvaggi A, Spampinato G, Stinca A, Terzi M, Valentini F, Vitale S, Wagensommer RP, Lastrucci L (2022) Notulae to the Italian native vascular flora: 14. Italian Botanist 14: 119-131. https://doi.org/10.3897/italianbotanist.14.97813

Supplementary data