STIGMERGIC PERCEPTRON: a perceptron-ispired soft classifier of time series based on stigmergic similarity

A Stigmergic Perceptron (SP) is a soft classifier of a time series with respect to a collection of archetypal time series, each representing different behavioral classes. The SP takes as an input a time series and provides as an output the linear combination of similarity values of the time series w.r.t. the most similar archetypal time series. Indeed the SP is organized, like a neural perceptron, in terms of linear combination of values provided by Stigmergic Receptive Fields (SRF). SRF can be combined and arranged into multilayer architectures thanks to specific input/output interfaces, namely clumping and activation. Each SRF provides a similarity measure between the input and the archetype time series. The term stigmergic refers to the internal logic of a SRF, inspired by stigmergy, an insects' coordination mechanism. Stigmergy is based on the spatio-temporal aggregation of input samples by functional structures called trails. Trails are generated by marks released by each sample in the input dimension, and evaporated over time. At the core of a SRF, the similarity between the trails of two time series is calculated. SP and the related SRFs are parametrically adapted to a given training set by means of the Differential Evolution (DE) algorithm.

Cite as "M.G.C.A. Cimino, G. Vaglini, M. Monaco, A.L. Alfeo, F. Galatolo, A. Lazzeri, Stigmergic Perceptron, 2018. https://github.com/mlpi-unipi/stigmergic-perceptron."

Publications

1. M.G.C.A. Cimino, A. Lazzeri, W. Pedrycz, G. Vaglini, "Using Stigmergy to Distinguish Event-Specific Topics in Social Discussions", Sensors, MDPI, Vol. 18, Issue 7, n. 2117, Pages 1-21, 2018.
2. A.L. Alfeo, M.G.C.A. Cimino, S.Egidi, B.Lepri, G. Vaglini, "A stigmergy-based analysis of city hotspots to discover trends and anomalies in urban transportation usage", IEEE Transactions on Intelligent Transportation Systems, IEEE, Vol. 19, Issue 7, Pages 2258-2267, 2018.
3. A.L. Alfeo, M.G.C.A. Cimino, A. Lazzeri, G. Vaglini, "Detecting urban road congestion via parametric adaptation of position-based stigmergy", Intelligent Decision Technologies, IOS Press, Vol. 11, Issue 4, Pages 465-475, 2017.
4. A.L. Alfeo, P. Barsocchi, M.G.C.A. Cimino, D. La Rosa, F. Palumbo, G. Vaglini, "Sleep behavior assessment via smartwatch and stigmergic receptive fields", Personal and Ubiquitous Computing, Springer, Vol. 22, Issue 2, Pages 227-243, 2017.
5. P. Barsocchi, M.G.C.A. Cimino, E. Ferro, A. Lazzeri, F. Palumbo, G. Vaglini, "Monitoring elderly behavior via indoor position-based stigmergy", Pervasive and Mobile Computing, Elsevier Science, Vol. 23, Pages 26-42, 2015.
6. A.L. Alfeo, M.G.C.A. Cimino, S. Egidi, B. Lepri, A. Pentland, G. Vaglini, "Stigmergy-Based Modeling to Discover Urban Activity Patterns from Positioning Data" in Proc. SBP-BRiMS The International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS 2017), LNCS 10354, pp. 292-301, Washington, DC, USA, 5-8 July, 2017.
7. M.G.C.A. Cimino, F. Galatolo, A. Lazzeri, W. Pedrycz, G. Vaglini, "Spikiness Assessment of Term Occurrences in Microblogs: an Approach Based on Computational Stigmergy", in Proc. INSTICC The 6th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2017), pp. 731-737, Porto, Portugal, 24-26 February 2016.
8. A.L. Alfeo, M.G.C.A. Cimino, G. Vaglini, "Measuring Physical Activity of Older Adults via Smartwatch and Stigmergic Receptive Fields", in Proc. INSTICC The 6th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2017), pp. 724-730, Porto, Portugal, 24-26 February 2016.
9. M. Avvenuti, C. Bernardeschi, M.G.C.A. Cimino, G. Cola, A. Domenici, G. Vaglini, "Detecting elderly behavior shift via smart devices and stigmergic receptive fields", in Proc. EAI The 6th EAI International Conference on Wireless Mobile Communication and Healthcare (MOBIHEALTH 2016), Milan, Italy, LNICST 192,pp. 398-405, 2017.