---
abstract: |-
  The task of understanding how the brain works has met with only limited success since important design
  concepts are not as yet incorporated in the analysis. Relevant concepts can be uncovered by studying the powerful
  methodologies that have evolved in the context of computer programming, raising the question of how the concepts
  involved there can be realised in neural hardware. Insights can be gained in regard to such issues through the study of
  the role played by models and representation. These insights lead on to an appreciation of the mechanisms underlying
  subtle capacities such as those concerned with the use of language. A precise, essentially mathematical account of such capacities is in prospect for the future.
altloc: []
chapter: ~
commentary: ~
commref: ~
confdates: 'August 8-13, 2005'
conference: 'CASYS’05 - Seventh International Conference on Computing Anticipatory Systems'
confloc: 'Liège, Belgium'
contact_email: ~
creators_id: []
creators_name:
  - family: Josephson
    given: Brian D.
    honourific: ''
    lineage: ''
date: 2005
date_type: published
datestamp: 2005-12-19
department: ~
dir: disk0/00/00/46/50
edit_lock_since: ~
edit_lock_until: ~
edit_lock_user: ~
editors_id: []
editors_name:
  - family: Dubois
    given: Daniel M.
    honourific: Prof.
    lineage: ''
eprint_status: archive
eprintid: 4650
fileinfo: /style/images/fileicons/application_pdf.png;/4650/1/CASYS2005_final.pdf
full_text_status: public
importid: ~
institution: ~
isbn: ~
ispublished: inpress
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: 'brain design, language, abstraction, representation, models, neurocomputational science'
lastmod: 2011-03-11 08:56:14
latitude: ~
longitude: ~
metadata_visibility: show
note: |-
  PACS: 87.19.La.
  
  After it is published, this paper will be found at
  http://proceedings.aip.org/proceedings.
number: ~
pagerange: ~
pubdom: FALSE
publication: ~
publisher: American Institute of Physics
refereed: TRUE
referencetext: |-
  1. S. R. Quartz and T. J. Sejnowski, The neural basis of cognitive development: A constructivist manifesto, Behavioral and Brain Sciences, 20(4) 537-596 (1997).
  2. The JAVA Tutorial, http://java.sun.com/docs/books/tutorial/java/concepts/ (2005)
  3. N. A. Baas; "Emergence, Hierarchies and Hyperstructures,” in Artificial Life III edited by C.G. Langton, Redwood City, CA: Addison-Wesley, 515-537 (1994).
  4. A. Karmiloff-Smith, Beyond Modularity: a Developmental Perspective on Cognitive Science, Cambridge, MA: MIT Press (1992).
  5. R. Jackendoff, Foundations of Language, Oxford: Oxford (2002).
  6. M. Arbib, “The Mirror System, Imitation, and the Evolution of Language,” in Imitation in Animals and Artifacts, edited by C. Nehaniv and K. Dautenhahn (2000), Cambridge, MA: MIT Press.
relation_type: []
relation_uri: []
reportno: ~
rev_number: 12
series: ~
source: ~
status_changed: 2007-09-12 17:01:23
subjects:
  - neuro-mod
  - comp-sci-complex-theory
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: General Principles for Brain Design
type: confpaper
userid: 196
volume: ~
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