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Leveraging Applications of Formal Methods, Verification and Validation. Adaptation and Learning

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Cover of 'Leveraging Applications of Formal Methods, Verification and Validation. Adaptation and Learning'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Rigorous Engineering of Collective Adaptive Systems Introduction to the 4 th Track Edition
  3. Altmetric Badge
    Chapter 2 Correct by Design Coordination of Autonomous Driving Systems
  4. Altmetric Badge
    Chapter 3 Neural Predictive Monitoring for Collective Adaptive Systems
  5. Altmetric Badge
    Chapter 4 An Extension of HybridSynchAADL and Its Application to Collaborating Autonomous UAVs
  6. Altmetric Badge
    Chapter 5 Discrete Models of Continuous Behavior of Collective Adaptive Systems
  7. Altmetric Badge
    Chapter 6 Modelling Flocks of Birds from the Bottom Up
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    Chapter 7 Towards Drone Flocking Using Relative Distance Measurements
  9. Altmetric Badge
    Chapter 8 Epistemic Ensembles
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    Chapter 9 A Modal Approach to Consciousness of Agents
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    Chapter 10 An Experimental Toolchain for Strategy Synthesis with Spatial Properties
  12. Altmetric Badge
    Chapter 11 Toward a Kinetic Framework to Model the Collective Dynamics of Multi-agent Systems
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    Chapter 12 Understanding Social Feedback in Biological Collectives with Smoothed Model Checking
  14. Altmetric Badge
    Chapter 13 Efficient Estimation of Agent Networks
  15. Altmetric Badge
    Chapter 14 Attuning Adaptation Rules via a Rule-Specific Neural Network
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    Chapter 15 Measuring Convergence Inertia: Online Learning in Self-adaptive Systems with Context Shifts
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    Chapter 16 Capturing Dependencies Within Machine Learning via a Formal Process Model
  18. Altmetric Badge
    Chapter 17 On Model-Based Performance Analysis of Collective Adaptive Systems
  19. Altmetric Badge
    Chapter 18 Programming Multi-robot Systems with X-KLAIM
  20. Altmetric Badge
    Chapter 19 Bringing Aggregate Programming Towards the Cloud
  21. Altmetric Badge
    Chapter 20 Ensemble-Based Modeling Abstractions for Modern Self-optimizing Systems
  22. Altmetric Badge
    Chapter 21 Formal Analysis of Lending Pools in Decentralized Finance
  23. Altmetric Badge
    Chapter 22 A Rewriting Framework for Interacting Cyber-Physical Agents
  24. Altmetric Badge
    Chapter 23 Model Checking Reconfigurable Interacting Systems
  25. Altmetric Badge
    Chapter 24 Formal Methods Meet Machine Learning (F3ML)
  26. Altmetric Badge
    Chapter 25 The Modest State of Learning, Sampling, and Verifying Strategies
  27. Altmetric Badge
    Chapter 26 Importance Splitting in Uppaal
  28. Altmetric Badge
    Chapter 27 Verification of Variability-Intensive Stochastic Systems with Statistical Model Checking
Attention for Chapter 20: Ensemble-Based Modeling Abstractions for Modern Self-optimizing Systems
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Chapter title
Ensemble-Based Modeling Abstractions for Modern Self-optimizing Systems
Chapter number 20
Book title
Leveraging Applications of Formal Methods, Verification and Validation. Adaptation and Learning
Published in
arXiv, January 2022
DOI 10.1007/978-3-031-19759-8_20
Book ISBNs
978-3-03-119758-1, 978-3-03-119759-8
Authors

Töpfer, Michal, Abdullah, Milad, Bureš, Tomas, Hnětynka, Petr, Kruliš, Martin, Michal Töpfer, Milad Abdullah, Tomáš Bureš, Petr Hnětynka, Martin Kruliš

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 100%
Readers by discipline Count As %
Unspecified 2 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 September 2023.
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#21,885,607
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#769,391
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