--- 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: ~