David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Minds and Machines 17 (1):11-25 (2007)
The broad range of capabilities exhibited by humans and animals is achieved through a large set of heterogeneous, tightly integrated cognitive mechanisms. To move artificial systems closer to such general-purpose intelligence we cannot avoid replicating some subset—quite possibly a substantial portion—of this large set. Progress in this direction requires that systems integration be taken more seriously as a fundamental research problem. In this paper I make the argument that intelligence must be studied holistically. I present key issues that must be addressed in the area of integration and propose solutions for speeding up rate of progress towards more powerful, integrated A.I. systems, including (a) tools for building large, complex architectures, (b) a design methodology for building realtime A.I. systems and (c) methods for facilitating code sharing at the community level
|Keywords||Holistic artificial intelligence Integration Large-scale architectures Scientific progress|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
Allen Newell (1990). Unified Theories of Cognition. Harvard University Press.
Marvin L. Minsky (1986). The Society Of Mind. Simon & Schuster.
Hans Moravec (1998). When Will Computer Hardware Match the Human Brain? Journal of Evolution and Technology 1 (1):10.
Jonathan C. Horton & Lawrence C. Sincich (2004). 17 A New Foundation for the Visual Cortical Hierarchy. In Michael S. Gazzaniga (ed.), The Cognitive Neurosciences Iii. MIT Press 233.
Citations of this work BETA
No citations found.
Similar books and articles
Ron Sun (2001). Cognitive Science Meets Multi-Agent Systems: A Prolegomenon. Philosophical Psychology 14 (1):5 – 28.
Alexandra Elbakyan, Consciousness in Mixed Systems: Merging Artificial and Biological Minds Via Brain-Machine Interface.
Ronald N. Giere (2004). The Problem of Agency in Scienti?C Distributed Cognitive Systems. Journal of Cognition and Culture 4 (3-4):759-774.
Dilip Patel & Shushma Patel (2003). The Cognitive Process of Problem Solving: A Soft Systems Approach. [REVIEW] Brain and Mind 4 (2):283-295.
Graham Greenleaf, Andrew Mowbray & Peter Dijk (1995). Representing and Using Legal Knowledge in Integrated Decision Support Systems: Datalex Workstations. [REVIEW] Artificial Intelligence and Law 3 (1-2):97-142.
L. Andrew Coward (2005). A System Architecture Approach to the Brain: From Neurons to Consciousness. Nova Biomedical Books.
Carlos Hernandez, Ricardo Sanz & Ignacio Lopez, Consciosusness in Cognitive Architectures. A Principled Analysis of Rcs, Soar and Act-R.
Added to index2009-01-28
Total downloads19 ( #147,771 of 1,726,249 )
Recent downloads (6 months)6 ( #118,705 of 1,726,249 )
How can I increase my downloads?