|
|
|||
|
||||
OverviewThis book constitutes the refereed proceedings of the Second International Workshop on Advances in explainability, agents, and large language models, CALM 2025, held in Luxembourg City, Luxembourg, during December 1-5, 2025. The 8 full papers included in this book were carefully reviewed and selected from 15 submissions.The Workshop on Causality, Agents, and Large Models (CALM) fosters interdisciplinary collaboration at the intersection of causal reasoning, multi-agent systems (MAS), and large language models (LLMs). Full Product DetailsAuthor: Yazan Mualla , Liuwen Yu , Hui Zhao , Amro NajjarPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG ISBN: 9783032205476ISBN 10: 3032205476 Pages: 119 Publication Date: 12 April 2026 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Postgraduate, Research & Scholarly Format: Paperback Publisher's Status: Forthcoming Availability: Not yet available This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of Contents.- Towards A Human-Centered Approach to Supervision of Explainable Autonomous Robot Tractors. .- ROXIE: Defining a Robotic eXplanation and Interpretability Engine. .- Augmenting an LLM-Based Tutor Agent with a Large Action Model for Multimodal Interaction. .- Does the Model Say What the Data Says? A Simple Heuristic for Model–Data Alignment. .- Leveraging large language models reinforcement learning for explainable artificial intelligence. .- Local Causal Reasoning in Multiagent Systems (Extended Abstract). .- Integrating Decentralised AI Services in a Collaboration Ecosystem. .- A Hybrid Metaheuristic-Guided Multi-Agent Reinforcement Learning Framework for Cooperative Unsignalized Intersection Coordination.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
||||