SEAMS 2019
Sat 25 - Sun 26 May 2019 Montreal, QC, Canada
co-located with ICSE 2019
Sat 25 May 2019 11:25 - 11:50 at Duluth - Learning Chair(s): Rogério de Lemos

Collective self-adaptive systems (CSAS) are distributed and interconnected systems composed of multiple agents that can perform complex tasks such as environmental data collection, search and rescue operations, and discovery of natural resources. By providing individual agents with learning capabilities, CSAS can cope with challenges related to distributed sensing and decision-making and operate in uncertain environments. This unique characteristic of CSAS enables the collective to exhibit robust behaviour while achieving system-wide and agent-specific goals. Although learning has been explored in many CSAS applications, selecting suitable learning models and techniques remains a significant challenge that is heavily influenced by expert knowledge. We address this gap by performing a multi-dimensional analysis of the state-of-the-art research in CSAS with learning capabilities. Based on this analysis, we introduce a 3D framework that illustrates the learning aspects of CSAS considering the dimensions of autonomy, knowledge access, and behaviour, and facilitates the selection of learning techniques and models. Finally, using example applications from this analysis, we derive open challenges and highlight the need for research on collaborative, resilient and privacy-aware mechanisms for CSAS.

Sat 25 May
Times are displayed in time zone: (GMT-04:00) Eastern Time (US & Canada) change

11:00 - 12:25: SEAMS 2019 - Learning at Duluth
Chair(s): Rogério de LemosUniversity of Kent, UK
seams-2019-papers11:00 - 11:25
Federico QuinKatholieke Universiteit Leuven, Danny WeynsKU Leuven, Thomas BamelisKatholieke Universiteit Leuven, Sarpreet Singh ButtarLinnaeus University, Sam MichielsKatholieke Universiteit Leuven
seams-2019-papers11:25 - 11:50
Mirko D'AngeloLinnaeus University, Sweden, Simos Gerasimou, Sona GhahremaniHasso Plattner Institute, University of Potsdam, Johannes GrohmannUniversity of Wurzburg, Ingrid NunesUniversidade Federal do Rio Grande do Sul (UFRGS), Brazil, Evangelos PournarasETH Zurich, Switzerland, Sven TomfordeUniversitat Kassel
seams-2019-papers11:50 - 12:10
Colin Paterson, Radu CalinescuUniversity of York, UK, Suresh ManandharUniversity of York, UK, Di WangUniversity of York, UK
seams-2019-papers12:10 - 12:25
Ilias GerostathopoulosTechnical University of Munich, Evangelos PournarasETH Zurich, Switzerland