Center for Analysis and Design of Intelligent Agents

• Artificial General Intelligence Research Institute
• Journal of Artificial General Intelligence home page.
• Does the Future of AGI Lie in Cognitive Synergy? by B. Goertzel
• Four Basic Questions about Artificial Intelligence by P. Wang

• Principles of Integrated Cognitive Control by R. Sanz et al.
• From NARS to a thinking machine by P. Wang
• (ACT-R) An Integrated Theory of the Mind by Anderson, J. R.; Bothell, D.; Byrne, M.D.; Douglass, S.; Lebiere, C. & Qin, Y.
• Self-awareness in Real-time Cognitive Control Architectures by Sanz, R.; López, I. & Hernández, C. (2007). In AI and Consciousness: Theoretical Foundations and Current Approaches. AAAI Fall Symposium 2007. Washington, DC. 8-11 November.
• A Mind Model for Multimodal Communicative Creatures and Humanoids by Thórisson, K. R. (1999). International Journal of Applied Artificial Intelligence, 13(4-5): 449-486.
• Cognitive architectures: Research issues and challenges by Langley, P., Laird, J.E., Rogers, S. (2009) . Cognitive Systems Research Vol 10(2), pp. 141-160.
• Architectural Requirements for Human-like Agents Both Natural and Artificial by Sloman, A. (2000). In K. Dautenhahn (ed.), Human Cognition and Social Agent Technology, in the Series “Advances in Consciousness Research”, John Benjamins Publishing.

• AGI Preschool: A Framework for Evaluating Early-Stage Human-like AGIs by Goertzel, B. & Bugaj, S. V. Proceedings of the Second Conference on Artificial General Intelligence, Atlantis Press.
• Psychometric Artificial General Intelligence: The Piaget-MacGuyver Room by Bringsjord, S. & Licato, J. (forthcoming). In Theoretical Foundations of Artificial General Intelligence, edited by P. Wang and B. Goertzel (Atlantis Press).

• The g factor on Wikipedia.
• Multiple theory of intelligence home page.
• Strong AI on Wikipedia.
• JAGI paper on Autonomy by K.R. Thórisson & H.P. Helgason
• Mapping the Landscape of Human-Level Artificial General Intelligence by Adams et al.
• An integrated theory of mind by Anderson et al.

• Introduction to Software Architecture by Garlan & Shaw
• Architectural Mismatch or Why it’s hard to build systems out of existing parts by Garlan, D., R. Allen and J. Ockerbloom. Also available here.
• Constructionist Design Methdology paper by K.R. Thórisson
• From Constructionist to Constructivist AI by K.R. Thórisson
• Can there be a science of complex systems? by H. A. Simon
• Cybernetics and Second-Order Cybernetics by Heylighen, F. & C. Joslyn

• Requirements for deliberative systems by A. Sloman – key sections: from 8 onwards.
• Cognitive Architecture Requirements for Achieving AGI by J.E. Laird et al.
• Architectural Requirements for Human-like Agents Both Natural and Artificial by A. Sloman
• Cognitive architectures: Research issues and challenges. by Langley, P., Laird, J.E., Rogers, S. (2009). Cognitive Systems Research Vol 10(2), pp. 141-160.

• Self-Programming: Operationalizing Autonomy by Nivel, E. & K. R. Thórisson (2009). Proc. of the Second Conference on Artificial General Intelligence, 150-155. Arlington, VA, USA, March 6-9.
• Behavioral Self-Programming by Reasoning by Wang, P. (2011). Workshop on Self-Programming, AGI Conference 2011.

• Franklin, S. (2007). (LIDA) A Foundational Architecture for Artificial General Intelligence. Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms. IOS Press, Amsterdam, The Netherlands, The Netherlands, pp. 36-54. PDF
• Anderson, J.R. & Schunn, C.D. (2000). Implications of the ACT-R learning theory: No magic bullets. Advances in instructional psychology. 5:1-34. Lawrence Erlbaum | PDF
• Goertzel, Ben (2010). What Must a World Be Like That a Human-Like Intelligence May Develop In It. PDF
• Laird, J.E.; Newell, A. & Rosenbloom, P.S. (1987). SOAR: An architecture for general intelligence. Artificial Intelligence, Volume 33, Issue 1, Pages 1-64 PDF
• Snaider, J; McCall, R. & Franklin, S. (2011). The LIDA framework as a general tool for AGI. Artificial General Intelligence, Lecture Notes in Computer Science. 2011. Volume 6830/2011. pp. 133-142 PDF
• Thórisson, K. R. & Nivel, E. (2009). Achieving Artificial General Intelligence Through Peewee Granularity. Proc. of the Second Conference on Artificial General Intelligence, 222-223. Arlington, VA, USA, March 6-9. PDF
• Nivel, E. & K. R. Thórisson (2009). Self-Programming: Operationalizing Autonomy. Proc. of the Second Conference on Artificial General Intelligence, 150-155. Arlington, VA, USA, March 6-9. PDF
• Wang, P. (2004). Toward a unified artificial intelligence. AAAI Fall Symposium on Achieving Human-Level Intelligence through Integrated Research and Systems. pp. 83-90. PDF
• Adams, S. S., Arel, I., Bach, J., Coop, R., Furlan, R., et al. (2012). Mapping the Landscape of Human-Level Artificial General Intelligence. In AI Magazine, Vol 33(1), pp. 25-41. PDF
• Militello, L.G., Dominguez, C.O., Lintern, G. & Klein, G. (2010). The Role of Cognitive Systems Engineering in the Systems Engineering Design Process. In Systems Engineering, Vol 13(3), pp. 261-273. PDF
• Pan, S. J. & Yang, Q. (2011). A survey on transfer learning. IEEE Transactions on Knoweledge and Data Engineering, 22(10), pp. 1345–1359. PDF
• Sanz, R., Hernandez, C., Gomez, J., Bermejo-Alonso, J., Rodriguez, M., Hernando, A. & Sanchez, G. (2009). Systems, models and self-awareness: Towards architectural models of consciousness. International Journal Of Machine Consciousness, 1(2), pp.255–279. PDF
• Silver, D.L. & Poirier, R. (2007). Requirements for Machine Lifelong Learning. IWINAC, LNCS (4527), pp.313-319. PDF
• Wray, R. et. al. Towards a Complete, Multi-level Cognitive Architecture. PDF

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