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AIxIA 2022 - Advances in Artificial Intelligence : XXIst International Conference of the Italian Association for Artificial Intelligence, AIxIA 2022, Udine, Italy, November 28 - December 2, 2022, Proceedings / edited by Agostino Dovier, Angelo Montanari, Andrea Orlandini.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Dovier, Agostino, Editor.
Montanari, Angelo, Editor.
Orlandini, Andrea, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 13796
Lecture Notes in Artificial Intelligence, 2945-9141 ; 13796
Language:
English
Subjects (All):
Artificial intelligence.
Computer science.
Software engineering.
Computers, Special purpose.
Compilers (Computer programs).
Application software.
Artificial Intelligence.
Theory of Computation.
Software Engineering.
Special Purpose and Application-Based Systems.
Compilers and Interpreters.
Computer and Information Systems Applications.
Local Subjects:
Artificial Intelligence.
Theory of Computation.
Software Engineering.
Special Purpose and Application-Based Systems.
Compilers and Interpreters.
Computer and Information Systems Applications.
Physical Description:
1 online resource (XIV, 502 pages) : 128 illustrations, 109 illustrations in color.
Edition:
1st ed. 2023.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2023.
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of the XXIst International Conference of the Italian Association for Artificial Intelligence on AIxIA 2022 - Advances in Artificial Intelligence, which was held in Udine, Italy, during November 28-December 2, 2022. The 33 full papers and 1 invited paper presented in this volume were carefully reviewed and selected from 54 submissions. They were organized in topical sections as follows: Hybrid Approaches; Graphs and Networks; Multiagent Systems; Automated Planning and Scheduling; AI Applications; Miscellany; Natural Language Processing; and Keynote talk.
Contents:
Hybrid Approaches
The PSyKE technology for Trustworthy Artificial Intelligence
A Declarative Approach to Contrast Pattern Mining
Graphs and Networks
Approximate Inference in Probabilistic Answer Set Programming for Statistical Probabilities
Decision Trees with a Modal Flavor
Assisted Process Knowledge Graph Building Using Pre-Trained Language Models
Neural Networks Reduction via Lumping
Knowledge Enhanced Neural Networks for relational domains
Logic Tensor Networks for Top-N Recommendation
Multiagent Systems
A Review of the Muddy Children Problem
Multi-Agent Cooperative Argumentation in Arg2P
Ethics by Design for Intelligent and Sustainable Adaptive systems
Automated Planning and Scheduling
Verification of Numeric Planning Problems through Domain Dynamic Consistency
Comparing Multi-Agent Path Finding Algorithms in a Real Industrial Scenario
Logic-Based Ethical Planning
A Hybrid Recommender System with Implicit Feedbacks in Fashion Retail
Incremental Timeline-based Planning for Efficient Plan Execution and Adaptation
Knowledge Acquisition and Completion for Long-Term Human-Robot Interactions using Knowledge Graph Embedding
Construct, Merge, Solve and Adapt Applied to a Bus Driver Scheduling Problem with Complex Break Constraints
Topic Modelling and Frame identification for Political Arguments
Substitute plastic film with Kraft paper in automatic pallet wrapping: an AI pipeline
AI Applications
Transformer Based Motion In-Betweening
A Logic-based Tool for Dynamic Generation and Classification of Music Content
Why Can Neural Networks Recognize Us by Our Finger Movements?
Miscellany
Labelled Sequent Calculi for Conditional Logics: Conditional Excluded Middle and Conditional Modus Ponens finally together
Deep learning for ECoG brain-computer interface: end-to-end vs hand-crafted features
Quantum Circuit Compilation for the Graph Coloring Problem
Toward a Heterogeneous Multi-Robot Framework for Priority-Based Sanitization of Railway Stations
Simulated Annealing for the Home Healthcare Routing and Scheduling Problem
MAP Inference in Probabilistic Answer Set Programs
Verifying a stochastic model for the spread of a SARS-CoV-2-like infection: opportunities and limitations
Natural Language Processing
DelBERTo: a Deep Lightweight Transformer for Sentiment Analysis
A BERT-based Scoring System for Workplace Safety Courses in Italian
Embedding Contextual Information in seq2seq models for Grounded Semantic Role Labeling
Keynote talk. -Adventures with Datalog: Walking the Thin Line Between Theory and Practice.
Other Format:
Printed edition:
ISBN:
978-3-031-27181-6
9783031271816
Access Restriction:
Restricted for use by site license.

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