Rigorous engineering of collective adaptive systems – 3rd special section: part II

Abstract Adaptive systems are designed to modify their behaviour at runtime in response to dynamically changing and open-ended environments as well as evolving requirements. Such systems may operate as individual adaptive entities or as collective adaptive systems composed of multiple collaborating components. Rigorous engineering of these systems requires appropriate methods, models, and tools that ensure reliability, correctness, and alignment with their intended purpose. This paper introduces the second part of the special section on Rigorous Engineering of Collective Adaptive Systems. It presents seven selected contributions and positions them within four major research directions: (i) Large Ensembles and Collective Dynamics, (ii) Knowledge, Consciousness and Emergence, (iii) Automated Reasoning for Better Interaction, and (iv) Analysing Collective Adaptive Systems. Together, they illustrate current progress and emerging challenges in the rigorous engineering of collective adaptive systems.

Authors

Institutions

Publication Details

Journal
International Journal on Software Tools for Technology Transfer
Published
2026-03-31
DOI
https://doi.org/10.1007/s10009-026-00859-9
Citations
1
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
10.41

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rigorous engineering of collective adaptive systems – 3rd special section: part II

Rocco De Nicola, Stefan Jähnichen, Mirco Tribastone, Martin Wirsing
1 citations
International Journal on Software Tools for Technology Transfer
Modular Robots and Swarm Intelligence
10.41
article

Rigorous engineering of collective adaptive systems – 3rd special section: part II

Rocco De Nicola, Stefan Jähnichen, Mirco Tribastone, Martin Wirsing
article en
1 citations

Abstract

Abstract Adaptive systems are designed to modify their behaviour at runtime in response to dynamically changing and open-ended environments as well as evolving requirements. Such systems may operate as individual adaptive entities or as collective adaptive systems composed of multiple collaborating components. Rigorous engineering of these systems requires appropriate methods, models, and tools that ensure reliability, correctness, and alignment with their intended purpose. This paper introduces the second part of the special section on Rigorous Engineering of Collective Adaptive Systems. It presents seven selected contributions and positions them within four major research directions: (i) Large Ensembles and Collective Dynamics, (ii) Knowledge, Consciousness and Emergence, (iii) Automated Reasoning for Better Interaction, and (iv) Analysing Collective Adaptive Systems. Together, they illustrate current progress and emerging challenges in the rigorous engineering of collective adaptive systems.

International Journal on Software Tools for Technology Transfer
IMT School for Advanced Studies Lucca (IT), FZI Research Center for Information Technology (DE), University of L'Aquila (IT), Institute of Informatics and Telematics (IT), Gran Sasso Science Institute (IT), Technische Universität Berlin (DE), Ludwig-Maximilians-Universität München (DE)
Ludwig-Maximilians-Universität München
Openalex Percentile: Top 2%
Modular Robots and Swarm Intelligence
10.41
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.