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Volumn 7, Issue 2, 2015, Pages 217-229

Rational use of cognitive resources: Levels of analysis between the computational and the algorithmic

Author keywords

Algorithmic level; Bayesian models of cognition; Computational level; Levels of analysis; Rational process models; Resource rational models

Indexed keywords

ALGORITHM; COGNITION; HUMAN; PHYSIOLOGY; THEORETICAL MODEL; THINKING;

EID: 84928582768     PISSN: 17568757     EISSN: 17568765     Source Type: Journal    
DOI: 10.1111/tops.12142     Document Type: Article
Times cited : (310)

References (47)
  • 1
    • 85139458781 scopus 로고    scopus 로고
    • Exploring the influence of particle filter parameters on order effects in causal learning
    • L. Carlson, C. Hoelscher, T. F. Shipley (Eds.), Austin, TX: Cognitive Science Society
    • Abbott, J. T., & Griffiths, T. L. (2011). Exploring the influence of particle filter parameters on order effects in causal learning. In L. Carlson, C. Hoelscher, & T. F. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society (pp. 2950-2955). Austin, TX: Cognitive Science Society.
    • (2011) Proceedings of the 33rd Annual Conference of the Cognitive Science Society , pp. 2950-2955
    • Abbott, J.T.1    Griffiths, T.L.2
  • 2
    • 0000887704 scopus 로고
    • Arguments concerning representations for mental imagery
    • Anderson, J. R. (1978). Arguments concerning representations for mental imagery. Psychological Review, 85(4), 249.
    • (1978) Psychological Review , vol.85 , Issue.4 , pp. 249
    • Anderson, J.R.1
  • 4
    • 0000705894 scopus 로고
    • The adaptive nature of human categorization
    • Anderson, J. R. (1991). The adaptive nature of human categorization. Psychological Review, 98(3), 409-429.
    • (1991) Psychological Review , vol.98 , Issue.3 , pp. 409-429
    • Anderson, J.R.1
  • 6
    • 84974324997 scopus 로고
    • Levels of modeling of mechanisms of visually guided behavior
    • Arbib, M. A. (1987). Levels of modeling of mechanisms of visually guided behavior. Behavioral and Brain Sciences, 10(03), 407-436.
    • (1987) Behavioral and Brain Sciences , vol.10 , Issue.3 , pp. 407-436
    • Arbib, M.A.1
  • 7
    • 84864523394 scopus 로고    scopus 로고
    • Bayesian just-so stories in psychology and neuroscience
    • Bowers, J. S., & Davis, C. J. (2012). Bayesian just-so stories in psychology and neuroscience. Psychological Bulletin, 138(3), 389-414.
    • (2012) Psychological Bulletin , vol.138 , Issue.3 , pp. 389-414
    • Bowers, J.S.1    Davis, C.J.2
  • 8
    • 0033052444 scopus 로고    scopus 로고
    • Ten years of the rational analysis of cognition
    • Chater, N., & Oaksford, M. (1999). Ten years of the rational analysis of cognition. Trends in Cognitive Sciences, 3, 57-65.
    • (1999) Trends in Cognitive Sciences , vol.3 , pp. 57-65
    • Chater, N.1    Oaksford, M.2
  • 9
    • 85162044194 scopus 로고    scopus 로고
    • The neural costs of optimal control
    • J. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R. Zemel, A. Culotta (Eds.), Red Hook, NY: Curran Associates, Inc
    • Gershman, S., & Wilson, R. (2010). The neural costs of optimal control. In J. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R. Zemel, & A. Culotta (Eds.), Advances in neural information processing systems (vol. 23, pp. 712-720). Red Hook, NY: Curran Associates, Inc.
    • (2010) Advances in neural information processing systems , vol.23 , pp. 712-720
    • Gershman, S.1    Wilson, R.2
  • 11
  • 12
    • 84863292602 scopus 로고    scopus 로고
    • Algorithmic rationality: Adding cost of computation to game theory
    • Halpern, J. Y., & Pass, R. (2011). Algorithmic rationality: Adding cost of computation to game theory. ACM SIGecom Exchanges, 10(2), 9-15.
    • (2011) ACM SIGecom Exchanges , vol.10 , Issue.2 , pp. 9-15
    • Halpern, J.Y.1    Pass, R.2
  • 15
    • 84959057080 scopus 로고
    • Reasoning under varying and uncertain resource constraints
    • Tom M. Mitchell, Reid G. Smith (Eds.), Menlo Park, CA: The AAAI Press
    • Horvitz, E. J. (1988). Reasoning under varying and uncertain resource constraints. In Tom M. Mitchell & Reid G. Smith (Eds.), Proceedings of the seventh national conference on artificial intelligence (pp. 111-116). Menlo Park, CA: The AAAI Press.
    • (1988) Proceedings of the seventh national conference on artificial intelligence , pp. 111-116
    • Horvitz, E.J.1
  • 16
    • 70350440484 scopus 로고    scopus 로고
    • Rational adaptation under task and processing constraints: Implications for testing theories of cognition and action
    • Howes, A., Lewis, R. L., & Vera, A. (2009). Rational adaptation under task and processing constraints: Implications for testing theories of cognition and action. Psychological Review, 116(4), 717-751.
    • (2009) Psychological Review , vol.116 , Issue.4 , pp. 717-751
    • Howes, A.1    Lewis, R.L.2    Vera, A.3
  • 17
    • 84928589625 scopus 로고    scopus 로고
    • Toward boundedly rational analysis
    • P. Bello, M. Guarini, M. McShane, B. Scassellati (Eds.), Austin, TX: Cognitive Science Society
    • Icard, T. (2014). Toward boundedly rational analysis. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society (pp. 637-642). Austin, TX: Cognitive Science Society.
    • (2014) Proceedings of the 36th Annual Conference of the Cognitive Science Society , pp. 637-642
    • Icard, T.1
  • 18
    • 80055001436 scopus 로고    scopus 로고
    • Bayesian fundamentalism or enlightenment? On the explanatory status and theoretical contributions of Bayesian models of cognition
    • Jones, M., & Love, B. C. (2011). Bayesian fundamentalism or enlightenment? On the explanatory status and theoretical contributions of Bayesian models of cognition. Behavioral and Brain Sciences, 34(4), 169-188.
    • (2011) Behavioral and Brain Sciences , vol.34 , Issue.4 , pp. 169-188
    • Jones, M.1    Love, B.C.2
  • 20
    • 0023422739 scopus 로고
    • SOAR: An architecture for general intelligence
    • Laird, J. (1987). SOAR: An architecture for general intelligence. Artificial Intelligence, 33(1), 1-64.
    • (1987) Artificial Intelligence , vol.33 , Issue.1 , pp. 1-64
    • Laird, J.1
  • 21
    • 84899629222 scopus 로고    scopus 로고
    • Computational rationality: Linking mechanism and behavior through bounded utility maximization
    • Lewis, R. L., Howes, A., & Singh, S. (2014). Computational rationality: Linking mechanism and behavior through bounded utility maximization. Topics in Cognitive Science, 6, 279-311.
    • (2014) Topics in Cognitive Science , vol.6 , pp. 279-311
    • Lewis, R.L.1    Howes, A.2    Singh, S.3
  • 22
    • 84955517964 scopus 로고    scopus 로고
    • Controllability and resource-rational planning
    • Lieder, F., Goodman, N. D., & Huys, Q. J. M. (2013). Controllability and resource-rational planning. Cosyne Abstracts 2013 10, 112-112.
    • (2013) Cosyne Abstracts 2013 , vol.10 , pp. 112-112
    • Lieder, F.1    Goodman, N.D.2    Huys, Q.J.M.3
  • 23
    • 84928589318 scopus 로고    scopus 로고
    • Reverse-engineering resource-efficient algorithms. Paper presented at NIPS-2013 Workshop Resource-Efficient ML, Lake Tahoe, UT
    • Lieder, F., Goodman, N. D., & Griffiths, T. L. (2013). Reverse-engineering resource-efficient algorithms. Paper presented at NIPS-2013 Workshop Resource-Efficient ML, Lake Tahoe, UT.
    • (2013)
    • Lieder, F.1    Goodman, N.D.2    Griffiths, T.L.3
  • 24
    • 84877775445 scopus 로고    scopus 로고
    • Burn-in, bias, and the rationality of anchoring
    • In P. Bartlett, F. C. N. Pereira, L. Bottou, C. J. C. Burges, K. Q. Weinberger (Eds.), Red Hook, NY: Curran Associates, Inc
    • Lieder, F., Griffiths, T. L., & Goodman, N. D. (2013). Burn-in, bias, and the rationality of anchoring. In P. Bartlett, F. C. N. Pereira, L. Bottou, C. J. C. Burges, & K. Q. Weinberger (Eds.), Advances in neural information processing systems (vol. 26, pp. 2690-2798). Red Hook, NY: Curran Associates, Inc.
    • (2013) Advances in neural information processing systems , vol.26 , pp. 2690-2798
    • Lieder, F.1    Griffiths, T.L.2    Goodman, N.D.3
  • 25
    • 85015536997 scopus 로고    scopus 로고
    • The high availability of extreme events serves resource-rational decision-making
    • In P. Bello, M. Guarini, M. McShane, B. Scassellati (Eds.), Austin, TX: Cognitive Science Society.
    • Lieder, F., Hsu, M., & Griffiths, T. L. (2014). The high availability of extreme events serves resource-rational decision-making. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society (pp. 2567-2572). Austin, TX: Cognitive Science Society.
    • (2014) Proceedings of the 36th Annual Conference of the Cognitive Science Society , pp. 2567-2572
    • Lieder, F.1    Hsu, M.2    Griffiths, T.L.3
  • 26
    • 0003834557 scopus 로고
    • San Francisco, CA: W. H. Freeman
    • Marr, D. (1982). Vision. San Francisco, CA: W. H. Freeman.
    • (1982) Vision
    • Marr, D.1
  • 27
    • 0017573822 scopus 로고
    • From understanding computation to understanding neural circuitry
    • Marr, D., & Poggio, T. (1977). From understanding computation to understanding neural circuitry. Neurosciences Research Program Bulletin, 15, 470-488.
    • (1977) Neurosciences Research Program Bulletin , vol.15 , pp. 470-488
    • Marr, D.1    Poggio, T.2
  • 29
    • 0030639742 scopus 로고    scopus 로고
    • A computational theory of executive cognitive processes and multiple-task performance: Part i. basic mechanisms
    • Meyer, D. E., & Kieras, D. E. (1997). A computational theory of executive cognitive processes and multiple-task performance: Part i. basic mechanisms. Psychological Review, 104(1), 3-65.
    • (1997) Psychological Review , vol.104 , Issue.1 , pp. 3-65
    • Meyer, D.E.1    Kieras, D.E.2
  • 30
    • 49049136479 scopus 로고
    • The knowledge level
    • Newell, A. (1982). The knowledge level. Artificial Intelligence, 18(1), 87-127.
    • (1982) Artificial Intelligence , vol.18 , Issue.1 , pp. 87-127
    • Newell, A.1
  • 32
    • 0031189377 scopus 로고    scopus 로고
    • Rationality and intelligence
    • Russell, S. J. (1997). Rationality and intelligence. Artificial Intelligence, 94(1-2), 57-77.
    • (1997) Artificial Intelligence , vol.94 , Issue.1-2 , pp. 57-77
    • Russell, S.J.1
  • 34
    • 0026155868 scopus 로고
    • Principles of metareasoning
    • Russell, S. J., & Wefald, E. (1991b). Principles of metareasoning. Artificial Intelligence, 49(1-3), 361-395.
    • (1991) Artificial Intelligence , vol.49 , Issue.1-3 , pp. 361-395
    • Russell, S.J.1    Wefald, E.2
  • 35
    • 84882828246 scopus 로고    scopus 로고
    • Constraining bridges between levels of analysis: A computational justification for locally Bayesian learning
    • Sanborn, A. N., & Silva, R. (2013). Constraining bridges between levels of analysis: A computational justification for locally Bayesian learning. Journal of Mathematical Psychology, 57(3), 94-106.
    • (2013) Journal of Mathematical Psychology , vol.57 , Issue.3 , pp. 94-106
    • Sanborn, A.N.1    Silva, R.2
  • 37
    • 78249247078 scopus 로고    scopus 로고
    • Rational approximations to rational models: Alternative algorithms for category learning
    • Sanborn, A. N., Griffiths, T. L., & Navarro, D. J. (2010). Rational approximations to rational models: Alternative algorithms for category learning. Psychological Review, 117(4), 1144-1167.
    • (2010) Psychological Review , vol.117 , Issue.4 , pp. 1144-1167
    • Sanborn, A.N.1    Griffiths, T.L.2    Navarro, D.J.3
  • 38
    • 84881091351 scopus 로고    scopus 로고
    • Reconciling intuitive physics and Newtonian mechanics for colliding objects
    • Sanborn, A. N., Mansinghka, V. K., & Griffiths, T. L. (2013). Reconciling intuitive physics and Newtonian mechanics for colliding objects. Psychological Review, 120(2), 411.
    • (2013) Psychological Review , vol.120 , Issue.2 , pp. 411
    • Sanborn, A.N.1    Mansinghka, V.K.2    Griffiths, T.L.3
  • 39
    • 84858731044 scopus 로고    scopus 로고
    • Neural implementation of hierarchical Bayesian inference by importance sampling
    • In Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, A. Culotta (Eds.), Red Hook, NY: Curran Associates, Inc
    • Shi, L., & Griffiths, T. (2009). Neural implementation of hierarchical Bayesian inference by importance sampling. In Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, & A. Culotta (Eds.), Advances in neural information processing systems (vol. 22, pp. 1669-1677). Red Hook, NY: Curran Associates, Inc.
    • (2009) Advances in neural information processing systems , vol.22 , pp. 1669-1677
    • Shi, L.1    Griffiths, T.2
  • 40
    • 65649121504 scopus 로고    scopus 로고
    • Performing Bayesian inference with exemplar models
    • In B. C. Love, K. McRae, V. M. Sloutsky (Eds.), Austin, TX: Cognitive Science Society
    • Shi, L., Feldman, N., & Griffiths, T. L. (2008). Performing Bayesian inference with exemplar models. In B. C. Love, K. McRae, & V. M. Sloutsky (Eds.), Proceedings of the Thirtieth Annual Conference of the Cognitive Science Society (pp. 745-750). Austin, TX: Cognitive Science Society.
    • (2008) Proceedings of the Thirtieth Annual Conference of the Cognitive Science Society , pp. 745-750
    • Shi, L.1    Feldman, N.2    Griffiths, T.L.3
  • 42
    • 84959810873 scopus 로고
    • A behavioral model of rational choice
    • Simon, H. A. (1955). A behavioral model of rational choice. The Quarterly Journal of Economics, 69(1), 99-118.
    • (1955) The Quarterly Journal of Economics , vol.69 , Issue.1 , pp. 99-118
    • Simon, H.A.1
  • 43
    • 79952512265 scopus 로고    scopus 로고
    • How to grow a mind: Statistics, structure, and abstraction
    • Tenenbaum, J. B., Kemp, C., Griffiths, T. L., & Goodman, N. D. (2011). How to grow a mind: Statistics, structure, and abstraction. Science, 331(6022), 1279-1285.
    • (2011) Science , vol.331 , Issue.6022 , pp. 1279-1285
    • Tenenbaum, J.B.1    Kemp, C.2    Griffiths, T.L.3    Goodman, N.D.4
  • 44
    • 84960561455 scopus 로고
    • On computable numbers, with an application to the Entscheidungsproblem
    • Turing, A. M. (1937). On computable numbers, with an application to the Entscheidungsproblem. Proceedings of the London Mathematical Society, 2(42), 345-363.
    • (1937) Proceedings of the London Mathematical Society , vol.2 , Issue.42 , pp. 345-363
    • Turing, A.M.1
  • 45
    • 0016264378 scopus 로고
    • Judgment under uncertainty: Heuristics and biases
    • Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124-1131.
    • (1974) Science , vol.185 , Issue.4157 , pp. 1124-1131
    • Tversky, A.1    Kahneman, D.2
  • 47
    • 84901691896 scopus 로고    scopus 로고
    • One and done? Optimal decisions from very few samples
    • Vul, E., Goodman, N., Griffiths, T. L., & Tenenbaum, J. B. (2014). One and done? Optimal decisions from very few samples. Cognitive Science, 38(4), 599-637.
    • (2014) Cognitive Science , vol.38 , Issue.4 , pp. 599-637
    • Vul, E.1    Goodman, N.2    Griffiths, T.L.3    Tenenbaum, J.B.4


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