Search Results for author: Patrizio Pelliccione

Found 6 papers, 2 papers with code

Social, Legal, Ethical, Empathetic, and Cultural Rules: Compilation and Reasoning (Extended Version)

no code implementations15 Dec 2023 Nicolas Troquard, Martina De Sanctis, Paola Inverardi, Patrizio Pelliccione, Gian Luca Scoccia

The rise of AI-based and autonomous systems is raising concerns and apprehension due to potential negative repercussions stemming from their behavior or decisions.

A Compositional Approach to Creating Architecture Frameworks with an Application to Distributed AI Systems

no code implementations27 Dec 2022 Hans-Martin Heyn, Eric Knauss, Patrizio Pelliccione

In this paper, we propose to extend the state of the art on architecture framework by providing a mathematical model for system architectures, which is scalable and supports co-evolution of different aspects for example of an AI system.

Future Intelligent Autonomous Robots, Ethical by Design. Learning from Autonomous Cars Ethics

no code implementations16 Jul 2021 Gordana Dodig-Crnkovic, Tobias Holstein, Patrizio Pelliccione

Development of the intelligent autonomous robot technology presupposes its anticipated beneficial effect on the individuals and societies.

Ethics

Taming Uncertainty in the Assurance Process of Self-Adaptive Systems: a Goal-Oriented Approach

3 code implementations6 May 2019 Gabriela Félix Solano, Ricardo Diniz Caldas, Genaína Nunes Rodrigues, Thomas Vogel, Patrizio Pelliccione

In this work, we propose a goal-oriented assurance process that supports taming different sources (within different classes) of uncertainty from defining the goals at design time to performing self-adaptation at runtime.

Software Engineering

A Learning Approach to Enhance Assurances for Real-Time Self-Adaptive Systems

3 code implementations3 Apr 2018 Arthur Rodrigues, Ricardo Diniz Caldas, Genaína Nunes Rodrigues, Thomas Vogel, Patrizio Pelliccione

Despite all the efforts on assurances for self-adaptive systems at design or runtime, there is still a gap on verifying and validating real-time constraints accounting for context variability.

Software Engineering

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