Arguments, stories and criminal evidence [Documento electrónico]

Centro de Documentação da PJ
Monografia

CD268

BEX, Floris J.
Arguments, stories and criminal evidence [Documento electrónico] : a formal hybrid theory / Floris J. Bex.- New York : Springer, 2011.- 1 CD-ROM ; 12 cm. - (Law and Philosophy Library ; 92)
Ficheiro de 5,59 MB em formato PDF (297 p.).
ISBN 978-94-007-0140-3

DIREITO DA PROVA, VALOR PROBATÓRIO, PROVA

1. Introduction. 1.1 Rational Theories of the Process of Proof. 1.2 Making Sense of Evidence. 1.3 Reasoning with Evidence in Artificial Intelligence and Law. 1.4 Research Goals. 1.5 Book Outline. 2. Reasoning with Criminal Evidence. 2.1 Facts, Evidence and General Knowledge. 2.2 The Process of Proof: Discovery, Pursuit and Justification. 2.3 Reasoning in the Process of Proof. 3. Two Approaches to Reasoning with Evidence: Arguments and Stories. 3.1 Evidential Arguments. 3.2 Stories. 4. A Hybrid Theory of Stories and Arguments. 4.1 Combining Stories and Arguments. 4.2 Evidential Support, Contradiction and Gaps. 4.3 Story Coherence in the Hybrid Approach. 4.4 Assessing and Comparing Stories. 4.5 Evaluation. 5. A Formal Logical Hybrid Theory of Argumentation and Explanation. 5.1 A Defeasible Logic. 5.2 A Formal Theory for Argumentation. 5.3 A Formal Theory for Explanatory Stories. 5.4 A Hybrid Theory of Argumentation and Explanation. 5.5 Dialogues About Proof. 5.6 An Example of the Dialogue Game. 5.7 Evaluation. 6. Case Study: Murder in Anjum. 6.1 The Murder of Leo de Jager. 6.2 An Analysis of the Case: Constructing Stories and Arguments. 6.3 Cause of Death, Murder Weapon and Leo’s State. 6.4 The Judiciary’s View: Marjan Drugged and Killed Leo. 6.5 Alternatives to the Judiciary’s Story. 6.6 Comparing the Alternatives. 6.7 Evaluation. 7. Related Research on Reasoning with Criminal Evidence. 7.1 Reasoning with Stories. 7.2 Wigmore and the New Evidence Theorists. 7.3 Theoretical Models of Inference to the Best Explanation. 7.4 Keppens and Colleagues’ Decision Support System for Police Investigation. 7.4.1 Evaluation. 7.5 Probabilistic Reasoning and Bayesian Belief Networks. 8 Conclusions. 8.1 Summary. 8.2 Results. 8.3 Suggested Topics for Further Research. References. Name Index. Subject Index.