libri scuola books Fumetti ebook dvd top ten sconti 0 Carrello


Torna Indietro

calvaresi davide (curatore); najjar amro (curatore); omicini andrea (curatore); aydogan reyhan (curatore); carli rachele (curatore); ciatto giovanni (curatore); mualla yazan (curatore); främling kary (curatore) - explainable and transparent ai and multi-agent systems

Explainable and Transparent AI and Multi-Agent Systems 5th International Workshop, EXTRAAMAS 2023, London, UK, May 29, 2023, Revised Selected Papers

; ; ; ; ; ; ;




Disponibilità: Normalmente disponibile in 15 giorni


PREZZO
62,98 €
NICEPRICE
59,83 €
SCONTO
5%



Questo prodotto usufruisce delle SPEDIZIONI GRATIS
selezionando l'opzione Corriere Veloce in fase di ordine.


Pagabile anche con Carta della cultura giovani e del merito, 18App Bonus Cultura e Carta del Docente


Facebook Twitter Aggiungi commento


Spese Gratis

Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 09/2023
Edizione: 1st ed. 2023





Trama

This volume LNCS 14127 constitutes the refereed proceedings of the 5th International Workshop, EXTRAAMAS 2023, held in London, UK, in May 2023.  

The 15 full papers presented together with 1 short paper were carefully reviewed and selected from 26 submissions. The workshop focuses on Explainable Agents and multi-agent systems; Explainable Machine Learning; and Cross-domain applied XAI.

 






Sommario

Explainable Agents and multi-agent systems.- Mining and Validating Belief-based Agent Explanations.- Evaluating a mechanism for explaining BDI agent behaviour.- A General-Purpose Protocol for Multi-Agent based Explanations.- Dialogue Explanations for Rules-based AI Systems.- Estimating Causal Responsibility for Explaining Autonomous Behavior.- Explainable Machine Learning.- The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing.- Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors.- Imperative Action Masking for Safe Exploration in Reinforcement Learning.- Reinforcement Learning in Cyclic Environmental Change for Non-Communicative Agents: A Theoretical Approach.- Inherently Interpretable Deep Reinforcement Learning through Online Mimicking.- Counterfactual, Contrastive, and Hierarchical Explanations with Contextual Importance and Utility.- Cross-domain applied XAI.- Explanation Generation via Decompositional Rules Extraction for Head and Neck Cancer Classification.- Metrics for Evaluating Explainable Recommender Systems.- Leveraging Imperfect Explanations for Plan Recognition Problems.- Reinterpreting Vulnerability to Tackle Deception in Principles-Based XAI for Human-Computer Interaction.- Using Cognitive Models and Wearables to Diagnose and Predict Dementia Patient Behaviour.










Altre Informazioni

ISBN:

9783031408779

Condizione: Nuovo
Collana: Lecture Notes in Computer Science
Dimensioni: 235 x 155 mm Ø 456 gr
Formato: Brossura
Illustration Notes:XII, 281 p. 69 illus., 47 illus. in color.
Pagine Arabe: 281
Pagine Romane: xii


Dicono di noi