Cosmic Ray Extremely Distributed Observatory

no code implementations • 16 Oct 2020 • Piotr Homola, Dmitriy Beznosko, Gopal Bhatta, Lukasz Bibrzycki, Michalina Borczynska, Lukasz Bratek, Nikolai Budnev, Dariusz Burakowski, David E. Alvarez-Castillo, Kevin Almeida Cheminant, Aleksander Cwikla, Punsiri Dam-o, Niraj Dhital, Alan R. Duffy, Piotr Glownia, Krzysztof Gorzkiewicz, Dariusz Gora, Alok C. Gupta, Zuzana Hlavkova, Martin Homola, Joanna Jalocha, Robert Kaminski, Michal Karbowiak, Marcin Kasztelan, Renata Kierepko, Marek Knap, P eter Kov acs, Szymon Kuli nski, Bartosz L ozowski, Marek Magrys, Mikhail V. Medvedev, Justyna Mkedrala, Jerzy W. Mietelski, Justyna Miszczyk, Alona Mozgova, Antonio Napolitano, Vahab Nazari, Y. Jack Ng, Michal Niedzwiecki, Cristina Oancea, Boguslaw Ogan, Gabriela Opila, Krzysztof Oziomek, Maciej Pawlik, Marcin Piekarczyk, Bozena Poncyliusz, Jerzy Pryga, Matias Rosas, Krzysztof Rzecki, Jilberto Zamora-Saa, Katarzyna Smelcerz, Karel Smolek, Weronika Stanek, Jaroslaw Stasielak, Slawomir Stuglik, Jolanta Sulma, Oleksandr Sushchov, Manana Svanidze, Kyle Tam, Arman Tursunov, Jose M. Vaquero, Tadeusz Wibig, Krzysztof W. Wozniak

The Cosmic Ray Extremely Distributed Observatory (CREDO) is a newly formed, global collaboration dedicated to observing and studying cosmic rays (CR) and cosmic ray ensembles (CRE): groups of a minimum of two CR with a common primary interaction vertex or the same parent particle.

High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics

Workshop Notes of the 6th International Workshop on Acquisition, Representation and Reasoning about Context with Logic (ARCOE-Logic 2014)

no code implementations • 30 Dec 2014 • Michael Fink, Martin Homola, Alessandra Mileo

ARCOE-Logic 2014, the 6th International Workshop on Acquisition, Representation and Reasoning about Context with Logic, was held in co-location with the 19th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2014) on November 25, 2014 in Link\"oping, Sweden.

Management

Different Types of Conflicting Knowledge in AmI Environments

no code implementations • 26 Dec 2014 • Martin Homola, Theodore Patkos

We characterize different types of conflicts that may occur in complex distributed multi-agent scenarios, such as in Ambient Intelligence (AmI) environments, and we argue that these conflicts should be resolved in a suitable order and with the appropriate strategies for each individual conflict type.