Proceedings Of 2021 Workshop On Computation Aware Algorithmic Design For Cyber Physical Systems Caadcps
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Proceedings of 2021 Workshop on Computation-Aware Algorithmic Design for Cyber-Physical Systems (CAADCPS)
Most research in cyber-physical systems considers design of algorithms and their implementation separately. This poses a problem when dealing with cyber-physical systems with complex dynamics and uncertainty. In fact, in such cases the effectiveness of designed algorithms can be compromised by the unavoidably nonzero time needed to perform computations. The decentralization of computational resources and other requirements introduced at the implementation stage that were neglected at design will certainly negatively affect the behavior induced by the algorithm. To properly cope with such issues, techniques for the synthesis of algorithms should incorporate information about the computations required to be performed when implemented, and, in some cases, possibly accept a degradation of performance while guaranteeing certain fundamental properties of the entire cyber-physical system, such as resilience, robustness, stability, and safety. The development of such synthesis techniques requires a radical change in the way algorithms for cyber-physical systems are designed, demanding an analysis and design framework in which, rather than being added a posteriori, computation is intrinsic in the sense that the time and cost to compute is part of the design process. The goal of this workshop is to lay out the foundations of such framework for computation-aware algorithmic design of cyber-physical systems by bringing together experts (both practitioners and researchers) in cyber-physical systems and key areas in hardware design, real-time systems, optimization, control, safety, and verification.
Explainable Artificial Intelligence
This four-volume set constitutes the refereed proceedings of the Second World Conference on Explainable Artificial Intelligence, xAI 2024, held in Valletta, Malta, during July 17-19, 2024. The 95 full papers presented were carefully reviewed and selected from 204 submissions. The conference papers are organized in topical sections on: Part I - intrinsically interpretable XAI and concept-based global explainability; generative explainable AI and verifiability; notion, metrics, evaluation and benchmarking for XAI. Part II - XAI for graphs and computer vision; logic, reasoning, and rule-based explainable AI; model-agnostic and statistical methods for eXplainable AI. Part III - counterfactual explanations and causality for eXplainable AI; fairness, trust, privacy, security, accountability and actionability in eXplainable AI. Part IV - explainable AI in healthcare and computational neuroscience; explainable AI for improved human-computer interaction and software engineering for explainability; applications of explainable artificial intelligence.
Advances in Artificial Systems for Logistics Engineering III
This book comprises high-quality refereed research papers presented at the 3rd International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2023), held in Wuhan, China, on March 11–12, 2023, organized jointly by Wuhan University of Technology, Nanning University, the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Huazhong University of Science and Technology, the Polish Operational and Systems Society, Wuhan Technology and Business University, and the International Research Association of Modern Education and Computer Science. The topics discussed in the book include state-of-the-art papers in artificial intelligence and logistics engineering. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in artificial intelligence and its applications in logistics engineering.