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suo; Noda, Itsuki; Osawa, Eiichi; and Matsubara, Hitoshi. 1997. RoboCup: A Challenge problem for AI. Al Magazine, 18(1):73-85. Laird, John; Newell, Allen; and Rosenbloom, Paul 1987. SOAR: An Architecture for General Intelligence. AI Journal, 33(I):1-64. Lenat, Doug. 1995. CYC: A Large-scale Investmen
erbs. I consider myself an expert on this topic, having written about it in many scholarly articles and in three books: Learnability and Cognition (MIT Press, 1989), Lexical and Conceptual Semantics (coedited with Beth Levin; Blackwell, 1992), and The Stuff of Thought: Language as a Window into Human Nat
l panda lions. Ph. Tans R Soc 0 36511537)19-30. Allen B. Tanta CE (20121 beamsal success in dm of endia
ic.. (Can' bide. um ...my Pieta Cambridge), IS. Crewcut R (2003) volutatay dynamic. and ntensive lam days. Economic leant ig and social evolution (MIT Press. Cambia)* (Mm.)). 19. Broom M. Raba J (2013) Game-Theurelical Moat in &any. (Cluane., and Hall/CRC Mas. Compd. Bic.. S...). 20. Mem G (4M) lararan
rr, T. H. (2005). When high-powered people fail: Working memory and "choking under pressure" in math. Psychological Science, 16, 101-105. 22. Allen, K. M., Blascovich, .1., & Mendes, W.B. (2002). Cardiovascular reactivity and the presence of pets, friends, and spouses: The truth about cats
disease. Arch Pediatr Adolesc Med 2006;160:805- I 1. 24. Weiss RS. Loneliness: The experience of emotional and social isolation. Cambridge, MA: MIT Press; 1973. 25. Brewer MB, Gardner W. Who is this "we"? Levels of collective identity and self representations. Journal of Personality and Social Ps
HOE Higher-Order Inference • HOPLN: Higher-Order PLN • HR: Historical Repository (in a GOLEM context) • HTM: Hierarchical Temporal Memory • IA: (Allen) Interval Algebra (an algebra of temporal intervals) • IRC: Imitation / Reinforcement Correction (Learning) • LIFES: Learning-Integrated Feature S
h Int. Conf. Very Large Data Bases, 1994. Ash65. Robert B. Ash. Information Theory. Dover Publications, 1965. Bau04. E. B. Baum. What is Thought? MIT Press, 2004. Bau06. E. Baum. A working hypothesis for general intelligence. In Advances in Artificial General ligence: Concepts, Architectures and Algor
HOE Higher-Order Inference • HOPLN: Higher-Order PLN • HR: Historical Repository (in a GOLEM context) • HTM: Hierarchical Temporal Memory • IA: (Allen) Interval Algebra (an algebra of temporal intervals) • IRC: Imitation / Reinforcement Correction (Learning) • LIFES: Learning-Integrated Feature S
ateson. Mind and Nature: A Necessary Unity. New York: Ballantine, 1979. BC94. S. Baron-Cohen. Mindblindness: An Essay on Autism and Theory of Mind. MIT Press, 1994. BDL93. Louise Barrett, Robin Dunbar, and John Lycett. Human Evolutionary Psychology. Princeton University Press, 1993. BDS03. S Ben-David
nal texts available B, K & M — Brearley, Myers & Allen G & W — Glazer & Wark K & L — Kleidon & Lorenz
over 1926 to 2005. Nottingham University Business School Research Paper No. 2009.03 Lyons RK, 2001. The Microstructure Approach to Exchange Rates, MIT Press, (Cambridge, Massachusetts). Madhavan A, 2000. Market microstructure: A survey. Journal of Financial Markets 3, 205.258. Mankiw G, 2004. Principles
amming HOI: Higher-Order Inference HOPLN: Higher-Order PLN HR: Historical Repository (in a GOLEM context) HTM: Hierarchical Temporal Memory IA: (Allen) Interval Algebra (an algebra of temporal intervals) IRC: Imitation / Reinforcement / Correction (Learning) LIFES: Learning-Integrated Feature Sele
Bateson. Mind and Nature: A Necessary Unity. New York: Ballantine, 1979. Bog4. S. Baron-Cohen. Mindblindness: An Essay on Autism and Theory of Mind. MIT Press, 1994. BDL93. Louise Barrett, Robin Dunbar, and John Lycett. Human Evolutionary Psychology. Princeton University Press, 1993. BDS03. S Ben-David an
suo; Node, Itsuki; Osawa, Eiichi; and Matsubara, Hitoshi. 1997. RoboCup: A Challenge problem for Al. Al Magazine, 18(1):73-85. Laird, John; Newell, Allen; and Rosenbloom, Paul 1987. SOAR: An Architecture for General Intelligence. AI Journal, 33(1):1-64. Lenat, Doug. 1995. CYC: A Large-scale Investmen
erbs. I consider myself an expert on this topic, having written about it in many scholarly articles and in three books: Learnability and Cognition (MIT Press, 1989), Lexical and Conceptual Semantics (coedited with Beth Levin; Blackwell, 1992), and The Stuff of Thought: Language as a Window into Human Nat
he use of spike-number variance-to mean ratio in studies of response variability in visual cortical neurons (see Teich et al, 1996 for a review). The Allen factor (power law exponent) tends to reduce the influence of local trends by a computation of the variance of the difference between the number of ev
ion in cat striate cortex neural spike trains. IEEE Eng. Med. Biol. Sept/Oct pp 79-87 Tennekes, H., Lumley, J.L (1972) A First Course in Turbulence. MIT Press, Cambridge pp 256-267 Theiler, J. (1990) Estimating fractal dimension. J. Opt. Am. A7:1055-1073 Theiler, J.,Rapp, P.E.(1996) Re-examination of the e
re” in math. Psychological Science, 16, 101-105. Allen, K. M., Blascovich, J., & Mendes, W.B. (2002). Ca
iovascular disease. Arch Pediatr Adolesc Med 2006;160:805-11. Weiss RS. Loneliness: The experience of emotional and social isolation. Cambridge, MA: MIT Press; 1973. Brewer MB, Gardner W. Who is this “we”? Levels of collective identity and self representations. Journal of Personality and Social Psychology
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