Bridging the Gap Between AI and Reality - Steffen, Bernhard; (szerk.) - Prospero Internetes Könyváruház

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

ISBN13:9783031754333
ISBN10:3031754336
Kötéstípus:Puhakötés
Terjedelem:450 oldal
Méret:235x155 mm
Nyelv:angol
Illusztrációk: Approx. 450 p.
700
Témakör:

Bridging the Gap Between AI and Reality

Second International Conference, AISoLA 2024, Crete, Greece, October 30 ? November 3, 2024, Proceedings
 
Kiadás sorszáma: 2025
Kiadó: Springer
Megjelenés dátuma:
Kötetek száma: 1 pieces, Book
 
Normál ár:

Kiadói listaár:
EUR 79.17
Becsült forint ár:
33 750 Ft (32 143 Ft + 5% áfa)
Miért becsült?
 
Az Ön ára:

27 000 (25 714 Ft + 5% áfa )
Kedvezmény(ek): 20% (kb. 6 750 Ft)
A kedvezmény érvényes eddig: 2024. december 31.
A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.
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  példányt

 
Hosszú leírás:

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. 

Tartalomjegyzék:

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.