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Companion Cognitive Systems: Design Goals and Lessons Learned So Far
July/August 2009 (vol. 24 no. 4)
pp. 36-46
Kenneth D. Forbus, Northwestern University
Matthew Klenk, US Naval Research Laboratory
Thomas Hinrichs, Northwestern University
The Companion cognitive architecture supports experiments in achieving human-level intelligence. This article describes seven key design goals of Companions, relating them to properties of human reasoning and learning, and to engineering concerns raised by attempting to build large-scale cognitive systems. We summarize our experiences with Companions in two domains: test taking and game playing.

1. L. Vygotsky, Thought and Language, MIT Press, 1962.
2. J.R. Anderson and C.J. Lebiere, The Atomic Components of Thought, Lawrence Erlbaum Associates, 1998.
3. J. Laird, "Extending the Soar Cognitive Architecture," Proc. 1st Ann. Artificial General Intelligence Conf. (AGI 08), IOS Press, 2008, pp. 224–234.
4. N. Cassimatis, "A Cognitive Substrate for Human-Level Intelligence," AI Magazine, vol. 27, no. 2, 2006, pp. 45–56.
5. P. Langley and D. Choi, "A Unified Cognitive Architecture for Physical Agents," Proc. 21st Nat'l AAAI Conf. Artificial Intelligence (AAAI 06), AAAI Press, 2006, pp. 1469–1474.
6. K. Forbus, "Exploring Analogy in the Large," Analogy: Perspectives from Cognitive Science, D. Gentner, K. Holyoak, and B. Kokinov eds., MIT Press, 2001, pp. 23–58.
7. D. Gentner, "Why We're So Smart," Language in Mind, D. Gentner, and S. Goldin-Meadow eds., MIT Press, 2003, pp. 195–237.
8. K. Forbus, D. Gentner, and K. Law, "MAC/FAC: A Model of Similarity-Based Retrieval," Cognitive Science, vol. 19, no. 2,1994. pp. 141–205.
9. S. Kuehne et al., "SEQL: Category Learning as Progressive Abstraction Using Structure Mapping," Proc. 22nd Ann. Conf. Cognitive Science Soc. (Cogsci 00), Lawrence Erlbaum Associates, 2000, pp. 770–775.
10. D. Salvucci and J. Anderson, "Integrating Analogical Mapping and General Problem Solving: The Path-Mapping Theory," Cognitive Science, vol. 25, no. 1, 2001, pp. 67–110.
11. K. Forbus and D. Gentner, "Qualitative Mental Models: Simulations or Memories?" Proc. 11th Int'l Workshop Qualitative Reasoning (QR 97), Instituto di Analisi Numerica, 1997, pp. 97–104.
12. H. Simon, Reason in Human Affairs, Stanford Univ. Press, 1983.
13. M. Klenk and K. Forbus, "Cognitive Modeling of Analogy Events in Physics Problem Solving from Examples," Proc. 29th Ann. Conf. Cognitive Science Soc. (Cogsci 07), Lawrence Erlbaum Associates, 2007, pp. 1163–1168.
14. M. Klenk et al., "Solving Everyday Physical Reasoning Problems by Analogy Using Sketches," Proc. 20th Nat'l Conf. Artificial Intelligence (AAAI 05), AAAI Press, 2005, pp. 209–215.
15. M. Klenk and K. Forbus, "Measuring the Level of Transfer Learning by an AP Physics Problem-Solver," Proc. 22nd AAAI Conf. Artificial Intelligence (AAAI 07), AAAI Press, 2007, pp. 446–451.
16. T. Hinrichs and K. Forbus, "Analogical Learning in a Turn-Based Strategy Game," Proc. 20th Int'l Joint Conf. Artificial Intelligence (IJCAI 07), IJCAI, 2007, pp. 853–858.

Index Terms:
Analogy, Cognitive Architecture, cognitive modeling, learning, game-playing
Citation:
Kenneth D. Forbus, Matthew Klenk, Thomas Hinrichs, "Companion Cognitive Systems: Design Goals and Lessons Learned So Far," IEEE Intelligent Systems, vol. 24, no. 4, pp. 36-46, July-Aug. 2009, doi:10.1109/MIS.2009.71
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