---
abstract: |-
  The multidimensional logic is a paraconsistent logic modelling suitable for the
  human features’ simulations involving contradiction. This paper briefly
  present how AI (artificial intelligence) can make its logic procedures more
  flexible by multidimensional logic. The analysis of this logic modelling raise
  fundamental problems involving human mind’s models, as the evaluation of
  truthfulness of logic premises. In this sense, alternative ways are pointed
  through the establishment of motivated rather than arbitrary relations between
  premises used in logic and something that are represented by them. We claim
  that motivated relations could be an interesting way toward a most satisfactory
  AI model of human mind, instead just a simulation of it.
altloc: []
chapter: ~
commentary: ~
commref: ~
confdates: ~
conference: ~
confloc: ~
contact_email: ~
creators_id: []
creators_name:
  - family: Oliveira
    given: L. F.
    honourific: ''
    lineage: ''
  - family: Zampronha
    given: E. S.
    honourific: ''
    lineage: ''
date: 2003
date_type: published
datestamp: 2003-04-04
department: ~
dir: disk0/00/00/28/61
edit_lock_since: ~
edit_lock_until: ~
edit_lock_user: ~
editors_id: []
editors_name: []
eprint_status: archive
eprintid: 2861
fileinfo: /style/images/fileicons/application_pdf.png;/2861/1/LFO_%26_ZAMPRA_2003.pdf
full_text_status: public
importid: ~
institution: ~
isbn: ~
ispublished: ~
issn: ~
item_issues_comment: []
item_issues_count: 0
item_issues_description: []
item_issues_id: []
item_issues_reported_by: []
item_issues_resolved_by: []
item_issues_status: []
item_issues_timestamp: []
item_issues_type: []
keywords: |-
  Artificial intelligence; paraconsistent logic, multidimentional
  logic.
lastmod: 2011-03-11 08:55:14
latitude: ~
longitude: ~
metadata_visibility: show
note: ~
number: ~
pagerange: ~
pubdom: FALSE
publication: ~
publisher: ~
refereed: FALSE
referencetext: |-
  DRESNER, E. Boolean algebra and natural language: a measurement
  theoretic approach. Nordic Journal of Philosophical Logic, v. 4, n. 2, p.
  175–189, 2000.
  FEITOSA, H. A. e PAULOVICH, L. Um prelúdio à lógica (apostila do curso
  Lógica Proposicional). Bauru, 2001.
  FRAWLEY, W. Vygotsky e a Ciência Cognitiva. Porto Alegre: Artemed,
  2000.
  GERSHENSON, C. Lógica multidimensional: un modelo de lógica
  paraconsistente. In: Memorias del XI Congreso Nacional ANIEI, p. 132-
  141, 1998.
  GERSHENSON, C. Modelling emotions with multidimensional logic. In:
  Proceedings 18 th International Conference of the North American Fuzzy
  Information Processing Society (NAFIPS'99), p. 42-46, 1999.
  YEN, J. Fuzzy logic: a modern perspective. In: IEEE Transactions on
  Knowledge and Data Engineering, v. 11, n. 1, 1998.
  SEARLE, J. Minds, brains, and programs. The behavioural and brain
  sciences, v.3, p. 417-424, 1980.
  WADLER, P. Proofs are Programs: 19th Century Logic and 21st Century
  Computing. 2000
  ‹http://www.research.avayalabs.com/user/wadler/topics/history.html›.
  Acesso em:03 de dezembro de 2002.
  ZADEH, L. A. Fuzzy sets. Information and Control, v. 8, p. 338-53, 1965.
relation_type: []
relation_uri: []
reportno: ~
rev_number: 12
series: ~
source: ~
status_changed: 2007-09-12 16:47:09
subjects:
  - phil-mind
  - comp-sci-art-intel
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: A flexibilização da lógica em direção a uma melhor modelagem da mente pela IA.
type: preprint
userid: 2115
volume: ~