↓ Skip to main content

AI Approaches to the Complexity of Legal Systems. Models and Ethical Challenges for Legal Systems, Legal Language and Legal Ontologies, Argumentation and Software Agents

Overview of attention for book
Cover of 'AI Approaches to the Complexity of Legal Systems. Models and Ethical Challenges for Legal Systems, Legal Language and Legal Ontologies, Argumentation and Software Agents'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Compliance with Normative Systems
  3. Altmetric Badge
    Chapter 2 Coherence-Based Account of the Doctrine of Consistent Interpretation
  4. Altmetric Badge
    Chapter 3 Three Roads to Complexity, AI and the Law of Robots: On Crimes, Contracts, and Torts
  5. Altmetric Badge
    Chapter 4 The Legal Challenges of Networked Robotics: From the Safety Intelligence Perspective
  6. Altmetric Badge
    Chapter 5 Cloud Computting: New Research Perspectives for Computers and Law
  7. Altmetric Badge
    Chapter 6 Balancing Rights and Values in the Italian Courts: A Benchmark for a Quantitative Analysis
  8. Altmetric Badge
    Chapter 7 Survival of the Fittest: Network Analysis of Dutch Supreme Court Cases
  9. Altmetric Badge
    Chapter 8 Ontology Framework for Judgment Modelling
  10. Altmetric Badge
    Chapter 9 Eunomos, a Legal Document and Knowledge Management System to Build Legal Services
  11. Altmetric Badge
    Chapter 10 Axioms on a Semantic Model for Legislation for Accessing and Reasoning over Normative Provisions
  12. Altmetric Badge
    Chapter 11 An Open Access Policy for Legal Informatics Dissemination and Sharing
  13. Altmetric Badge
    Chapter 12 Advancing an Open Access Publication Model for Legal Information Institutes
  14. Altmetric Badge
    Chapter 13 Combinations of Normal and Non-normal Modal Logics for Modeling Collective Trust in Normative MAS
  15. Altmetric Badge
    Chapter 14 Software Agents as Boundary Objects
  16. Altmetric Badge
    Chapter 15 Argumentation and Intuitive Decision Making: Criminal Sentencing and Sentence Indication
  17. Altmetric Badge
    Chapter 16 Application of Model-Based Diagnosis to Multi-Agent Systems Representing Public Administration
  18. Altmetric Badge
    Chapter 17 Semantic Annotation of Legal Texts through a FrameNet-Based Approach
  19. Altmetric Badge
    Chapter 18 Developing a Frame-Based Lexicon for the Brazilian Legal Language: The Case of the Criminal_Process Frame
  20. Altmetric Badge
    Chapter 19 Creative Commons and Grand Challenge to Make Legal Language Simple
  21. Altmetric Badge
    Chapter 20 From User Needs to Expert Knowledge: Mapping Laymen Queries with Ontologies in the Domain of Consumer Mediation
Attention for Chapter 15: Argumentation and Intuitive Decision Making: Criminal Sentencing and Sentence Indication
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
7 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Argumentation and Intuitive Decision Making: Criminal Sentencing and Sentence Indication
Chapter number 15
Book title
AI Approaches to the Complexity of Legal Systems. Models and Ethical Challenges for Legal Systems, Legal Language and Legal Ontologies, Argumentation and Software Agents
Published in
Lecture notes in computer science, August 2011
DOI 10.1007/978-3-642-35731-2_15
Book ISBNs
978-3-64-235730-5, 978-3-64-235731-2
Authors

Andrew Vincent, Vincent, Andrew

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 14%
Student > Bachelor 1 14%
Student > Ph. D. Student 1 14%
Student > Master 1 14%
Researcher 1 14%
Other 2 29%
Readers by discipline Count As %
Computer Science 2 29%
Social Sciences 2 29%
Psychology 1 14%
Agricultural and Biological Sciences 1 14%
Unknown 1 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 December 2012.
All research outputs
#18,323,689
of 22,689,790 outputs
Outputs from Lecture notes in computer science
#6,005
of 8,123 outputs
Outputs of similar age
#99,431
of 120,336 outputs
Outputs of similar age from Lecture notes in computer science
#50
of 80 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,123 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 120,336 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.