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Original Article

Why is a computational framework for motivational and metacognitive control needed?

Pages 13-37 | Received 20 Feb 2017, Accepted 11 Sep 2017, Published online: 22 Dec 2017

References

  • Aarts, H., & Hassin, R. (2005). Automatic goal inference and contagion. In J. Forgas, K. Williams, & S. Laham (Eds.), Social Motivation: Conscious and Unconscious Processes. New York, NY: Cambridge University Press.
  • Adams, H., Wright, L., & Lohr, B. (1996). Is homophobia associated with homosexsual arousal? Journal of Abnormal Psychology, 105(3), 440–445.10.1037/0021-843X.105.3.440
  • Anderson, J., & Lebiere, C. (1998). The Atomic components of thought. Mahwah, NJ: Lawrence Erlbaum Associates.
  • Arbib, M. (1985). Schemas for the temporal organization of behavior. Human Neurobiology, 4, 63–72.
  • Atkinson, J. (1964). An introduction to motivation. Princeton, NJ: Van Nostrand.
  • Bach, J. (2009). Principles of synthetic intelligence PSI: An architecture of motivated cognition. New York, NY: Oxford University Press.10.1093/acprof:oso/9780195370676.001.0001
  • Baldassarre, G., & Mirolli, M. (2013). Intrinsically motivated learning in natural and artificial systems. Berlin: Springer-Verlag.10.1007/978-3-642-32375-1
  • Bargh, J. (1997). Advances in social cognition. In R. Wyer (Ed.), The Automaticity of Everyday Life (pp. 1–61). Mahwah, NJ: Erlbaum.
  • Bensen, D. (1994). The neurology of knowledge. New York, NY: Oxford University.
  • Berridge, K., & Schulkin, J. (1989). Palatability shift of a salt-associated incentive during sodium depletion. Quarterly Journal of Experimental Psychology: Comparative and Physiological Psychology, 41, 121–138.
  • Bickhard, M. (1993). Representational content in humans and machines. Journal of Experimental and Theoretical Artificial Intelligence, 285–333.10.1080/09528139308953775
  • Bretz, S., & Sun, R. (in press). Two models of moral judgment. Cognitive Science.
  • Brooks, R. (1991). Intelligence without representation. Artificial Intelligence, 47, 139–160.10.1016/0004-3702(91)90053-M
  • Bruner, J., Goodnow, J., & Austin, J. (1956). A study of thinking. New York, NY: Wiley.
  • Burns, T., & Roszkowska, E. (2006). Social judgment in multi-agent systems. In R. Sun (Ed.), Cognition and Multi-Agent Interaction: Integrating Cognitive Modeling and Social Simulation. New York, NY: Cambridge University Press.
  • Busemeyer, J., Townsend, J. T., & Stout, J. C. (2002). Motivational underpinnings of utility in decision making: Decision field theory analysis of deprivation and satiation. In S. Moore (Ed.), Emotional Cognition. Amsterdam: John Benjamins.
  • Carbonell, J. G., Knoblock, C. A., & Minton, S. (1991). PRODIGY: An integrated architecture for planning and learning. In K. VanLehn (Ed.), Architectures for Intelligence (pp. 241–278). Hillsdale, NJ: Lawrence Erlbaum Associates.
  • Caro, M. F., Josyula, D. P., Cox, M. T., & Jiménez, J. A. (2014). Design and validation of a metamodel for metacognition support in artificial intelligent systems. Biologically Inspired Cognitive Architectures, 9, 82–104.10.1016/j.bica.2014.07.002
  • Carver, C., & Scheier, M. (1990). Origin and functions of positive and negative affect: A control – process view. Psychological Review, 97, 19–35.10.1037/0033-295X.97.1.19
  • Castelfranchi, C. (2001). The theory of social functions: Challenges for computational social science and multi-agent learning. Cognitive systems research, special issue on the multi-disciplinary studies of multi-agent learning. R. Sun (Ed.), 2(1), 5–38.
  • Chaiken, S. & Trope, Y. (Eds.). (1999). dual process theories in social psychology. New York, NY: Guilford Press.
  • Chen, S., Shechter, D., & Chaiken, S. (1996). Getting at the truth or getting along: Accuracy – vs. impression-motivated heuristic and systematic processing. Journal of Personality and Social Psychology, 71(2), 262–275.10.1037/0022-3514.71.2.262
  • Clancey, W. (1997). Situated cognition: On human knowledge and computer representations. Cambridge: Cambridge University Press.
  • Clark, A., & Karmiloff-Smith, A. (1993). The Cognizer’s innards: A psychological and philosophical perspective on the development of thought. Mind and Language, 8(4), 487–519.10.1111/mila.1993.8.issue-4
  • Cleeremans, A. (1997). Principles for implicit learning. In D. Berry (Ed.), How implicit is implicit learning? (pp. 195–234). Oxford: Oxford University Press.10.1093/acprof:oso/9780198523512.001.0001
  • Cleeremans, A., Destrebecqz, A., & Boyer, M. (1998). Implicit learning: News from the front. Trends in Cognitive Sciences, 2(10), 406–416.10.1016/S1364-6613(98)01232-7
  • Dai, D. Y., & Sternberg, R. J. (2004). Motivation, emotion, and cognition. Mahwah, NJ: Lawrence Erlbaum Associates.
  • Darling, S., Sala, S., Gray, C., Trivelli, C., Mazzoni, G., & Nelson, T. (1998). Putative functions of the prefrontal cortex. In Metacognition and Cognitive Neuropsychology. Mahwah, NJ: Erlbaum.
  • Dayan, P. (2001). Motivated reinforcement learning. Neural information processing. Cambridge, MA: MIT Press.
  • Deci, E. & Staub, E. (1980). Intrinsic motivation and personality. In Personality: Basic issues and current research (pp. 35–80). Englewood Cliffs, NJ: Prentice Hall.
  • Derryberry, D., & Tucker, D. (1994). Motivating the focus of attention. In P. Miedenthal & S. Kitayama (Eds.), Heart’s Eye: Emotional Influences on Perception and Attention (pp. 167–196). San Diego, CA: Academic Press.10.1016/B978-0-12-410560-7.50014-4
  • Dethier, V. (1966). Insects and the concept of motivation. Nebraska Symposium on Motivation, 14, 105–136.
  • Eccles, J., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53, 109–132.10.1146/annurev.psych.53.100901.135153
  • Epstein, A. (1982). Instinct and motivation as explanations for complex behavior. In D. W. Pfaff (Ed.), The Physiological Mechanisms of Motivation. Berlin: Springer-Verlag.
  • Evans, J. & Frankish, K. (Eds.). (2009). In two minds: Dual processes and beyond. Oxford: Oxford University Press.
  • Flavell, J. (1976). Metacognitive aspects of problem solving. In B. Resnick (Ed.), The Nature of Intelligence. Hillsdale, NJ: Erlbaum.
  • Fodor, J., & Pylyshyn, Z. (1988). Connectionism and cognitive architecture: A critical analysis. In S. Pinker & J. Mehler (Eds.), Connections and Symbols. Cambridge, MA: MIT Press.
  • Forgas, J., Williams, K., & Laham, S. (Eds.). (2005). Social motivation: Conscious and unconscious processes. New York, NY: Cambridge University Press.
  • Forrest-Pressley, D. L. & Waller, T. G. (1984). Cognition, metacognition, and reading. New York, NY: Springer-Verlag.
  • Freud, S. (1915). A general introduction to psychoanalysis. New York, NY: Washington Square.
  • Frijda, N. (1986). The emotion. New York, NY: Cambridge University Press.
  • Gat, E. (1998). On three-layered architecture. In D. Kortenkamp, R. Bonasso, & R. Murphy (Eds.), Artificial Intelligence and Mobile Robots. Menlo Park, CA: AAAI Press.
  • Gentner, D., & Collins, A. (1981). Studies of inference from lack of knowledge. Memory and Cognition, 9, 434–443.10.3758/BF03197569
  • Grafman, J. (1994). Alternative frameworks for the conceptualization of frontal lobe functions. In F. Boller & J. Grafman (Eds.), Handbook of Neuropsychology, Vol. 9 (pp. 187–202). Amsterdam: Elsevier.
  • Grossberg, S. (1971). On the dynamics of operant conditioning. Journal of Theoretical Biology, 33, 225–255.10.1016/0022-5193(71)90064-6
  • Hayes-Roth, F., Waterman, D. A., & Lenat, D. B. (Eds.). (1983). Building expert systems. Reading, MA: Addison- Wesley.
  • Heidegger, M. (1962). Being and time. English translation published by Harper and Row. New York, NY.
  • Herrstein, R. (1977). The evolution of behaviorism. American Psychologist, 32, 593–603.10.1037/0003-066X.32.8.593
  • Hertel, G., Kerr, N., & Messe, L. (2000). Motivation gains in performance groups: Paradigmatic and theoretical development on the Kohler effect. Journal of Personality and Social Psychology, 79(4), 580–601.10.1037/0022-3514.79.4.580
  • Hing, L., Chung-Yan, G., Grunfeld, R., Robichaud, L., & Zanna, M. (2005). Exploring the discrepancy between implicit and explicit prejudice. In J. Forgas, K. Williams, & S. Laham (Eds.), Social Motivation: Conscious and Unconscious Processes. New York, NY: Cambridge University Press.
  • Hintzman, D. (1990). Human learning and memory: Connections and dissociations. Annual Review of Psychology, 41, 109–139.10.1146/annurev.ps.41.020190.000545
  • Hudlicka, E., & Fellous, J. (1996). Reviews of computational models of emotion. Manuscript.
  • Hull, C. (1951). Essentials of behavior. New Haven, CT: Yale University Press.
  • Iyengar, S., & Lepper, M. (1999). Rethinking the value of choice: A cultural perspective on intrinsic motivation. Journal of Personality and Social Psychology, 76(3), 349–366.10.1037/0022-3514.76.3.349
  • Kanfer, R., & Ackerman, P. L. (1989). Motivation and cognitive abilities: An integrative/aptitude-treatment interaction approach to skill acquisition. Journal of Applied Psychology, 74(4), 657–690.10.1037/0021-9010.74.4.657
  • Karmiloff-Smith, A. (1986). From meta-processes to conscious access: Evidence from children’s metalinguistic and repair data. Cognition, 23, 95–147.10.1016/0010-0277(86)90040-5
  • Kernis, M., & Goldman, B. (2005). Authenticity, social motivation, and psychological adjustment. In J. Forgas, K. Williams, & S. Laham (Eds.), Social Motivation: Conscious and Unconscious Processes. New York, NY: Cambridge University Press.
  • Koriat, A., & Goldsmith, M. (1998). The role of metacognitive processes in the regulation of memory performance. In G. Mazzoni & T. Nelson (Eds.), Metacognition and Cognitive Neuropsychology. Mahwah, NJ: Erlbaum.
  • Laird, J. (2012). The soar cognitive architecture. Cambridge, MA: MIT Press.
  • Lashley, S. (1951). The problem of serial order in behavior. In L. Jeffress (Ed.), Cerebral Mechanisms in Behavior. New York, NY: Wiley.
  • Latham, G., & Pinder, C. (2005). Work motivation theory and research at the dawn of the twenty-first century. Annual Review of Psychology, 56, 485–516.10.1146/annurev.psych.55.090902.142105
  • Leven, S., & Levine, D. (1996). Multiattribute decision making in context: A dynamic neural network methodology. Cognitive Science, 20, 271–299.10.1207/s15516709cog2002_4
  • Lewin, K. (1936). Principles of topological psychology. New York, NY: McGraw-Hill.10.1037/10019-000
  • Logan, G. (2003). Executive control of thought and action: In search of the wild homunculus. Current Directions in Psychological Science, 45–48.10.1111/1467-8721.01223
  • Logan, G., & Gordon, R. (2001). Executive control of visual attention in dual-task situations. Psychological Review, 108, 393–434.10.1037/0033-295X.108.2.393
  • Lorenz, K. (1950). The comparative method in studying innate behavior patterns. Symposia of the Society for Experimental Biology (Physiological Mechanisms in Animal Behavior), 4, 221–254.
  • Luria, A. R. (1966). Higher cortical functions in man. New York, NY: Basic Books.
  • Maheswaran, D., & Chaiken, S. (1991). Promoting systematic processing in low-motivation settings: Effect of incongruent information on processing and judgment. Journal of Personality and Social Psychology, 61(1), 13–25.10.1037/0022-3514.61.1.13
  • Maner, J., Kenrick, D., Becker, D., Robertson, T., Hofer, B., Neuberg, S., … Schaller, M. (2005). Functional projection: How fundamental social motives can bias interpersonal perception. Journal of Personality and Social Psychology, 88(1), 63–78.10.1037/0022-3514.88.1.63
  • Maslow, A. (1987). Motivation and personality (3rd ed.). New York, NY: Harper and Row.
  • Mazzoni, G. & Nelson, T. (Eds.). (1998). Metacognition and cognitive neuropsychology. Mahwah, NJ: Erlbaum.
  • McClelland, D. (1951). Personality. New York, NY: Dryden Press.10.1037/10790-000
  • McDougall, W. (1908). Introduction to social psychology. London: Methuen.10.1037/12261-000
  • McFarland, D. (1989). Problems of animal behaviour. Singapore: Longman Publishing.
  • Merrick, E., & Maher, M. L. (2009). Motivated reinforcement learning. Berlin: Springer-Verlag.10.1007/978-3-540-89187-1
  • Metcalfe, J. (1986). Dynamic metacognitive monitoring during problem solving. Journal of Experimental Psychology: Learning, Memory and Cognition, 12, 623–634.
  • Metcalfe, J. & Shimamura, A. (Eds.). (1994). Metacognition: Knowing about knowing. Cambridge, MA: MIT Press.
  • Murray, H. A. (1938). Explorations in personality. New York, NY: Oxford University Press.
  • Narens, T., Graf, A., & Nelson, T. (1996). Metacognitive aspects of implicit/explicit memory. In L. Reder (Ed.), Implicit Memory and Metacognition. Mahwah, NJ: Erlbaum.
  • Nelson, T., & Narens, L. (1990). Meta-memory: A theoretical treatment and new findings. In G. Bower (Ed.), The Psychology of Learning and Motivation, Vol. 26 (pp. 125–140). New York, NY: Academic Press.
  • Neuberg, S., Kenrick, D., Manor, J., & Shaller, M. (2005). From evolved motives to everyday mentation. In J. Forgas, K. Williams, & S. Laham (Eds.), Social motivation: Conscious and unconscious processes. New York, NY: Cambridge University Press.
  • Norman, D., & Shallice, T. (1986). Attention to action: Willed and automatic control of behavior. In G. Schwartz & D. Shapiro (Eds.), Consciousness and self regulation: Advances in research and theory, Vol. 4 (pp. 1–18). New York, NY: Plenum.
  • Norton, M., Vandello, J., & Darley, J. (2004). Casuistry and social category bias. Journal of Personality and Social Psychology, 87(6), 817–831.10.1037/0022-3514.87.6.817
  • Ortony, A., Clore, G., & Collins, A. (1988). The cognitive structure of emotions. New York, NY: Cambridge University Press.10.1017/CBO9780511571299
  • Pennisi, E. (2005). How did cooperative behavior evolve? Science, 309, 93.10.1126/science.309.5731.93
  • Pintrich, P., Marx, R., & Boyle, R. (2003). Beyond cold conceptual change: The role of motivational beliefs and classroom contextual factors in the process of conceptual change. Review of Educational Research, 63(2), 167–199.
  • Read, S. J., Monroe, B. M., Brownstein, A. L., Yang, Y., Chopra, G., & Miller, L. C. (2010). A neural network model of the structure and dynamics of human personality. Psychological Review, 117(1), 61–92.
  • Reber, A. (1989). Implicit learning and tacit knowledge. Journal of Experimental Psychology: General, 118(3), 219–235.10.1037/0096-3445.118.3.219
  • Reder, L. (1987). Strategy selection in question answering. Cognitive Psychology, 19, 111–138.
  • Reder, L. (Ed.). (1996). Implicit memory and metacognition. Mahwah, NJ: Erlbaum.
  • Reder, L., & Schunn, C. (1996). Metacognition does not imply awareness: Strategy choice is governed by implicit learning and memory. In L. Reder (Ed.), Implicit Memory and Metacognition. NJ, Mahwah: Erlbaum.
  • Reiss, S. (2004). Multifaceted nature of intrinsic motivation: The theory of 16 basic desires. Review of General Psychology, 8(3), 179–193.10.1037/1089-2680.8.3.179
  • Ricoeur, P. (1981). The metaphorical process as cognition, imagination, and feeling. In M. Johnson (Ed.), Philosophical Perspectives on Metaphor. MN: University of Minnesota Press, Minneapolis.
  • Rumelhart, D. J., McClelland, D. C., & The PDP Research Group. (1986). Parallel distributed processing: Explorations in the microstructures of cognition. Cambridge, MA: MIT Press.
  • Ryan, R., & Deci, E. (2000). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology, 25, 54–67.10.1006/ceps.1999.1020
  • Schank, R., & Abelson, R. (1977). Scripts, plans, goals, and understanding. Mahwah, NJ: Erlbaum Associates.
  • Scheutz, M., & Sloman, A. (2001). Affect and agent control: Experiments with simple affective states. IAT’01. Singapore: World Scientific.
  • Schneider, W. (1998). The development of procedural metamemory in childhood and adolescence. In G. Mazzoni & T. Nelson (Eds.), Metacognition and Cognitive Neuropsychology. Mahwah, NJ: Erlbaum.
  • Schooler, J., & Schreiber, C. (2005). To know or not to know. In J. Forgas, K. Williams, &. S. Laham (Eds.), Social Motivation: Conscious and Unconscious Processes. New York, NY: Cambridge University Press.
  • Seger, C. (1994). Implicit learning. Psychological Bulletin., 115(2), 163–196.10.1037/0033-2909.115.2.163
  • Shallice, T. (1988). From neuropsychology to mental structure. Cambridge: Cambridge University Press.10.1017/CBO9780511526817
  • Simon, H. (1967). Motivational and emotional controls of cognition. Psychological Review, 74, 29–39.10.1037/h0024127
  • Sloman, A. (1986). Motives mechanisms and emotions. Cognitive science research papers CSRP 062. Falmer: University of Sussex.
  • Sloman, A. (2000). Architectural requirements for human-like agents both natural and artificial. In K. Dautenhahn (Ed.), Human Cognition and Social Agent Technology. Amsterdam: John Benjamins.
  • Sloman, A., & Chrisley, R. (2005). More things than are dreamt of in your biology: Information processing in biologically-inspired robots. Cognitive Systems Research, 6(2), 145–174.10.1016/j.cogsys.2004.06.004
  • Smillie, L. D., Pickering, A. D., & Jackson, C. J. (2006). The new reinforcement sensitivity theory: Implications for personality measurement. Personality and Social Psychology Review, 10, 320–335.10.1207/s15327957pspr1004_3
  • Snyder, M., & Stukas, A. (1999). Interpersonal processes: The interplay of cognitive, motivational, and behavioral activities in social interaction. Annual Review of Psychology, 50, 273–303.10.1146/annurev.psych.50.1.273
  • Stout, J., Busemeyer, J. R., Lin, A., Grant, S. R., & Bonson, K. R. (2004). Cognitive modeling analysis of the decision-making processes used by cocaine abusers. Psychonomic Bulletin and Review., 11(4), 742–747.10.3758/BF03196629
  • Strack, F., & Deutsch, R. (2005). Reflection and impulse as determinants of conscious and unconscious motivation. In J. Forgas, K. Williams, & S. Laham (Eds.), Social Motivation: Conscious and Unconscious Processes. New York, NY: Cambridge University Press.
  • Stuss, D., & Benson, D. (1986). The frontal lobe. New York, NY: Raven.
  • Sun, R. (1994). Integrating rules and connectionism for robust commonsense reasoning. New York, NY: Wiley.
  • Sun, R. (2001). Meta-learning in multi-agent systems. In N. Zhong, J. Liu, S. Ohsuga, & J. Bradshaw (Eds.), Intelligent Agent Technology: Systems, Methodologies, and Tools. Singapore: World Scientific.
  • Sun, R. (2002). Duality of the mind. Mahwah, NJ: Lawrence Erlbaum Associates.
  • Sun, R. (2009). Motivational representations within a computational cognitive architecture. Cognitive Computation, 1(1), 91–103.
  • Sun, R. (2013). Moral judgment, human motivation, and neural networks. Cognitive Computation, 5(4), 566–579.10.1007/s12559-012-9181-0
  • Sun, R. (2016). Anatomy of the mind: Exploring psychological mechanisms and processes with the clarion cognitive architecture. New York, NY: Oxford University Press.10.1093/acprof:oso/9780199794553.001.0001
  • Sun, R., & Mathews, R. (2012). Implicit cognition, emotion, and meta-cognitive control. Mind and Society, 11(1), 107–119.10.1007/s11299-012-0101-5
  • Sun, R., & Sessions, C. (2000). Self-segmentation of sequences: Automatic formation of hierarchies of sequential behaviors. IEEE Transactions on Systems, Man, and Cybernetics: Part B, Cybernetics, 30(3), 403–418.
  • Sun, R., & Wilson, N. (2014). A model of personality should be a cognitive architecture itself. Cognitive Systems Research, 29–30, 1–30.10.1016/j.cogsys.2014.02.001
  • Sun, R., Merrill, E., & Peterson, T. (2001). From implicit skills to explicit knowledge: A bottom-up model of skill learning. Cognitive Science, 25(2), 203–244.10.1207/s15516709cog2502_2
  • Sun, R., Slusarz, P., & Terry, C. (2005). The interaction of the explicit and the implicit in skill learning: A dual-process approach. Psychological Review, 112(1), 159–192.10.1037/0033-295X.112.1.159
  • Sun, R., Zhang, X., & Mathews, R. (2006). Modeling meta-cognition in a cognitive architecture. Cognitive Systems Research, 7(4), 327–338.10.1016/j.cogsys.2005.09.001
  • Sun, R., Wilson, N., & Lynch, M. (2016). Emotion: A unified mechanistic interpretation from a cognitive architecture. Cognitive Computation, 8(1), 1–14.10.1007/s12559-015-9374-4
  • Sutton, R. & Barto, A. (1998). Reinforcement learning. Cambridge, MA: MIT Press.
  • Tauer, J., & Harackiewicz, J. (2004). The effects of cooperation and competition on intrinsic motivation and performance. Journal of Personality and Social Psychology, 86(6), 849–861.10.1037/0022-3514.86.6.849
  • Tinbergen, N. (1951). The study of instinct. London: Oxford University Press.
  • Toates, F. (1986). Motivational systems. Cambridge: Cambridge University Press.
  • Tolman, E. C. (1932). Purposive behavior in animals and men. New York, NY: Appleton-Century-Crofts.
  • Tomasello, M. (1999). The cultural origins of human cognition. Cambridge, MA: Harvard University Press.
  • Tyrell, T. (1993). Computational mechanisms for action selection (Ph.D. thesis). Oxford University, Oxford, UK.
  • Umilta, C., & Stablum, F. (1998). Control processes explored by the study of closed-head-injury patients. In G. Mazzoni & T. Nelson (Eds.), Metacognition and Cognitive Neuropsychology. Mahwah, NJ: Erlbaum.
  • Watkins, C. (1989). Learning with delayed rewards (Ph.D. thesis). Cambridge University, Cambridge, UK.
  • Wegner, D. (1994). Ironic processes of mental control. Psychological Review, 101, 34–52.10.1037/0033-295X.101.1.34
  • Weiner, B. (1992). Human motivation: Metaphors, theories, and research. Newbury Park, CA: Sage.
  • Wilson, N., & Sun, R. (2014). Coping with bullying: A computational emotion-theoretic account. In Proceedings of the Annual Conference of Cognitive Science Society (pp. 3119–3124). Quebec, Canada. Austin, TX. Published by Cognitive Science Society.
  • Wilson, N., Sun, R., & Mathews, R. (2009). Performance degradation under pressure. Neural Networks, 22, 502–508.10.1016/j.neunet.2009.06.022
  • Woike, B. (1995). Most memorable experiences: Evidence for a link between implicit and explicit motives and social cognitive processes in everyday life. Journal of Personality and Social Psychology, 68, 1081–1091.10.1037/0022-3514.68.6.1081
  • Wood, W., & Quinn, J. (2005). Habits and the structure of motivation in everyday life. In J. Forgas, K. Williams, & S. Laham (Eds.), Social motivation: Conscious and unconscious processes. New York, NY: Cambridge University Press.

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