Progress in artificial intelligence : 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31-September 2, 2022, Proceedings

Progress in artificial intelligence : 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31-September 2, 2022, Proceedings / Goreti Marreiros, Bruno Martins, Ana Paiva, Bernardete Ribeiro, Alberto Sardinha (eds.).

This book constitutes the proceedings of the 21st EPIA Conference on Artificial Intelligence, EPIA 2022, which took place in Lisbon, Portugal, in August/September 2022. The 64 papers presented in this volume were carefully reviewed and selected from 85 submissions. They were organized in topical sec...

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Bibliographic Details
Corporate Author: Portuguese Conference on Artificial Intelligence Lisbon, Portugal
Other Authors: Marreiros, Goreti, Martins, Bruno, Paiva, Ana, Ribeiro, Bernardete, Sardinha, Alberto
Format: eBook
Language:English
Published: Cham : Springer, 2022.
Series:Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science ; 13566.
LNCS sublibrary. Artificial intelligence.
Subjects:
Artificial intelligence > Congresses.
Artificial intelligence
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Online Access:Click for online access
Table of Contents:
  • Intro
  • Preface
  • Organization
  • Contents
  • AI4IS
  • Artificial Intelligence for Industry and Societies
  • Estimating the Temperature on the Reinforcing Bars of Composite Slabs Under Fire Conditions
  • 1 Introduction
  • 2 Transient Thermal Problem
  • 2.1 Physical Multidomains
  • 2.2 Boundary Conditions Corresponding to a Standard Fire
  • 2.3 Analytical Method Provided by the Standard Eurocode
  • 3 Improving the Analytical Method with Numerical Results
  • 3.1 Computational Solution by Finite Elements Method
  • 3.2 Improving the New Proposal with an Optimization Method
  • 3.3 Improving the New Proposal by the Linear Least Squares Method
  • 3.4 Comparison of the Results
  • 4 Conclusion
  • References
  • Hierarchically Structured Scheduling and Execution of Tasks in a Multi-agent Environment
  • 1 Introduction
  • 2 Related Work
  • 2.1 Resource Management
  • 2.2 Hierarchical Reinforcement Learning
  • 3 Background
  • 3.1 Markov Decision Problems
  • 3.2 Reinforcement Learning
  • 3.3 Multi-agent Markov Decision Problems
  • 3.4 Multi-agent Reinforcement Learning
  • 3.5 Hierarchical Reinforcement Learning
  • 4 Problem Setting
  • 4.1 High-Level
  • 4.2 Low-Level
  • 4.3 Implementation Details
  • 5 Evaluation
  • 5.1 Environment Settings
  • 5.2 Experimental Results
  • 5.3 Additional Experiments
  • 6 Conclusion
  • References
  • AIL
  • Artificial Intelligence and Law
  • Content-Based Lawsuits Document Image Retrieval
  • 1 Introduction
  • 2 Proposal
  • 3 Application
  • 3.1 Contextualization and Database
  • 3.2 Preprocessing and Feature Extraction
  • 3.3 Similarity Calculation and Result Presentation
  • 4 Experiments
  • 4.1 CNN's Choice
  • 4.2 Hybrid Algorithm Evaluation
  • 5 Conclusion
  • References
  • Lawsuits Document Images Processing Classification
  • 1 Introduction
  • 2 Related Work
  • 3 Background
  • 4 Proposal
  • 4.1 Preprocessing
  • 4.2 Classification
  • 5 Experiment
  • 5.1 Preprocessing
  • 5.2 Classification
  • 6 Conclusion
  • References
  • A Rapid Semi-automated Literature Review on Legal Precedents Retrieval
  • 1 Introduction
  • 2 Materials and Methods
  • 2.1 Rapid Reviews
  • 2.2 Literature Review Automation
  • 2.3 Keyword Identification
  • 2.4 Electronic Databases and Eligibility Criteria
  • 2.5 Data Extraction and Pre-processing
  • 2.6 Screening Based on Keyword Frequency
  • 2.7 Topic Modelling for Eligibility
  • 2.8 Full-Text Screening for Inclusion
  • 3 Results
  • 3.1 Descriptive Analytics
  • 3.2 Content Analysis
  • 4 Discussion
  • 4.1 RQ1 (How has the Task of Automating the Identification of Previous Relevant Cases been Addressed by the Researchers?) and RQ2 (What Types of Techniques are Covered in the Reviewed Studies?)
  • 4.2 RQ3: What are the Most Promising Strategies and Research Gaps in Automating the Retrieval of Legal Precedents?
  • 5 Conclusions, Limitations, and Future Research
  • References
  • The European Draft Regulation on Artificial Intelligence: Houston, We Have a Problem

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