Bridging the Gap Between AI and Reality: Second International Conference, AISoLA 2024, Crete, Greece, October 30 – November 3, 2024, Proceedings

Author:   Bernhard Steffen
Publisher:   Springer International Publishing AG
Edition:   2025 ed.
Volume:   15217
ISBN:  

9783031754333


Pages:   470
Publication Date:   30 December 2024
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Bridging the Gap Between AI and Reality: Second International Conference, AISoLA 2024, Crete, Greece, October 30 – November 3, 2024, Proceedings


Overview

This book constitutes the proceedings of the Second International Conference on Bridging the Gap between AI and Reality, AISoLA 2024, which took place in Crete, Greece, in October/November 2024. The papers included in this book focus on the following topics: AI assisted programming; digital humanities; approaches of using formal methods and ai in health care; models for trustworthy autonomous systems; responsible and trusted AI; safe autonomous vehicles; statistical model checking; verification and learning for assured autonomy; verification for neuro-symbolic artificial intelligence. 

Full Product Details

Author:   Bernhard Steffen
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2025 ed.
Volume:   15217
ISBN:  

9783031754333


ISBN 10:   3031754336
Pages:   470
Publication Date:   30 December 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Verification for Neuro-Symbolic Artificial Intelligence.- Is your AI-based System Five Star Sustainable?.- Certainty vs. Intelligence.- Responsible and Trusted AI: An Interdisciplinary Perspective.- Team Design Patterns for Meaningful Human Control in Responsible Military Artificial Intelligence.- Transparent Transparency: Developing a Scheme for Understanding Transparency Requirements.- AI Act for the Working Programmer.- AI Assisted Programming (AISoLA 2024 Track Introduction).- SEGym: Optimizing Large Language Model Assisted Software Engineering Agents with Reinforcement Learning.- Towards Specification-Driven LLM-Based Generation of Embedded Automotive Software.- Proof Repair Utilizing Large Language Models: A Case Study on the Copland Remote Attestation Proofbase.- LLM based Scheme for Synthesis of Formal Verification Algorithms.- Verification and Learning for Assured Autonomy.- A Comparison of Monitoring Techniques for Deep Neural Networks.- Efficient Shield Synthesis via State-Space Transformation.- Conformal Quantitative Predictive Monitoring and Conditional Validity.- Runtime Verification and AI: Addressing Pragmatic Regulatory.- A Game-Based Semantics for the Probabilistic Intermediate Verification Language HeyVL.- Systematic Translation from Natural Language Robot Task Descriptions to STL.- It's Safe to Play while Driving: From a Spatial Traffic Logic Towards Traffic Games.- Monitoring Safety and Reliability of Underwater Robots: A Case Study.- Statistical Model Checking the 2024 Edition!.- Reinforcement learning for discretized Euclidean MDPs.- Adaptive Stopping Algorithms Based on Concentration Inequalities.- Digging for Decision Trees: A Case Study in Strategy Sampling and Learning.- Statistical Analysis of the Impact of Bit-Flips in Security Critical Code.- Statistical Model Checking of python Agent-based models: an integration of MultiVeStA and Mesa.- On SMC-Based Dependability Analysis  in LoLiPoP-IoT Project.- Towards Verifying Robotic Systems using Statistical Model Checking in STORM.

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