Explainable and Transparent AI and Multi-Agent Systems
Editat de Davide Calvaresi, Amro Najjar, Andrea Omicini, Reyhan Aydogan, Rachele Carli, Giovanni Ciatto, Joris Hulstijn, Kary Främlingen Limba Engleză Paperback – 25 sep 2024
The 13 full papers presented in this book were carefully reviewed and selected from 25 submissions. The papers are organized in the following topical sections: User-centric XAI; XAI and Reinforcement Learning; Neuro-symbolic AI and Explainable Machine Learning; and XAI & Ethics.
Preț: 373.61 lei
Preț vechi: 467.02 lei
-20%
Puncte Express: 560
Preț estimativ în valută:
66.05€ • 78.75$ • 57.29£
66.05€ • 78.75$ • 57.29£
Carte disponibilă
Livrare economică 24 februarie-10 martie
Specificații
ISBN-13: 9783031700736
ISBN-10: 3031700732
Pagini: 256
Ilustrații: XX, 234 p.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.39 kg
Ediția:2024
Editura: Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3031700732
Pagini: 256
Ilustrații: XX, 234 p.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.39 kg
Ediția:2024
Editura: Springer
Locul publicării:Cham, Switzerland
V-ar putea interesa
-
Using Artificial Intelligence Absolute Beginner's GuideMichael Miller-20%Preț: 186.41 lei233.02 lei -
The Means of Prediction: How AI Really Works (and Who Benefits)Maximilian Kasy-20%Preț: 112.10 lei140.13 lei -
Multi-Agent Reinforcement LearningFilippos Christianos-20%Preț: 463.85 lei579.81 lei -
-40%Preț: 367.74 lei615.87 lei -
Artificial WisdomThomas R. WeaverPreț: 120.25 lei -
-20%Preț: 380.12 lei475.15 lei -
Preț: 116.75 lei -
Scaling Responsible AINoelle Russell-20%Preț: 165.53 lei206.92 lei -
Agentic AI for DummiesPam Baker-20%Preț: 138.95 lei173.69 leiNou -
The Essential Book of AIAnne Rooney-20%Preț: 70.97 lei88.71 lei -
Communicative AIMark CoeckelberghPreț: 133.41 lei -
AI Agents in ActionMicheal Lanham-20%Preț: 316.04 lei395.05 lei -
Effective Conversational AIAndrew Freed-20%Preț: 364.48 lei455.60 lei -
Preț: 173.94 lei -
The AI ConEmily M. BenderPreț: 116.65 lei -
-20%Preț: 325.79 lei407.24 lei -
The Pros and Cons of Using ChatbotsAdrian Wallwork-20%Preț: 169.36 lei211.71 lei -
-39%Preț: 211.78 lei346.81 lei -
-20%Preț: 1692.57 lei2115.72 lei -
-20%Preț: 1401.65 lei1752.07 lei
Cuprins
.- User-centric XAI.
.- Effect of Agent Explanations Using Warm and Cold Language on User Adoption of Recommendations for Bandit Problem.
.- Evaluation of the User-centric Explanation Strategies for Interactive Recommenders.
.- Can Interpretability Layouts Influence Human Perception of Offensive Sentences?.
.- A Framework for Explainable Multi-purpose Virtual Assistants: A Nutrition-Focused Case Study.
.- XAI and Reinforcement Learning.
.- Learning Temporal Task Specifications From Demonstrations.
.- Temporal Explanations for Deep Reinforcement Learning Agents.
.- An Adaptive Interpretable Safe-RL Approach for Addressing Smart Grid Supply-side Uncertainties.
.- Model-Agnostic Policy Explanations: Biased Sampling for Surrogate Models.
.- Neuro-symbolic AI and Explainable Machine Learning.
.- Explanation of Deep Learning Models via Logic Rules Enhanced by Embeddings Analysis, and Probabilistic Models.
.- py ciu image: a Python library for Explaining Image Classification with Contextual Importance and Utility.
.- Towards interactive and social explainable artificial intelligence for digital history.
.- XAI & Ethics.
.- Explainability and Transparency in Practice: A Comparison Between Corporate and National AI Ethics Guidelines in Germany and China.
.- The Wildcard XAI: from a Necessity, to a Resource, to a Dangerous Decoy.
.- Effect of Agent Explanations Using Warm and Cold Language on User Adoption of Recommendations for Bandit Problem.
.- Evaluation of the User-centric Explanation Strategies for Interactive Recommenders.
.- Can Interpretability Layouts Influence Human Perception of Offensive Sentences?.
.- A Framework for Explainable Multi-purpose Virtual Assistants: A Nutrition-Focused Case Study.
.- XAI and Reinforcement Learning.
.- Learning Temporal Task Specifications From Demonstrations.
.- Temporal Explanations for Deep Reinforcement Learning Agents.
.- An Adaptive Interpretable Safe-RL Approach for Addressing Smart Grid Supply-side Uncertainties.
.- Model-Agnostic Policy Explanations: Biased Sampling for Surrogate Models.
.- Neuro-symbolic AI and Explainable Machine Learning.
.- Explanation of Deep Learning Models via Logic Rules Enhanced by Embeddings Analysis, and Probabilistic Models.
.- py ciu image: a Python library for Explaining Image Classification with Contextual Importance and Utility.
.- Towards interactive and social explainable artificial intelligence for digital history.
.- XAI & Ethics.
.- Explainability and Transparency in Practice: A Comparison Between Corporate and National AI Ethics Guidelines in Germany and China.
.- The Wildcard XAI: from a Necessity, to a Resource, to a Dangerous Decoy.