In this paper, we
give an account of a rationally behaving agent—an artificial Dasein—which can perceive the world in terms of
relevance to its own goals. The way we achieve this is through a process of
incremental contextualization of goals and constraints that range from the
purely conceptual and abstract to the well-defined and physical. The model
described in this paper combines a conceptual hierarchy with a schema
structure, and leads to an account of practical reasoning which relies on two
novel ideas: the recursive selection of increasingly contextualized subgoals,
and the tractable determination of behavioral consequences through simulation.
The present account seeks to provide an outline for developing an agent which
does not suffer from the frame problem due to the way in which it incrementally
contextualizes its goals until they can be achieved unreflectively by matching
them to pre-learned schemas. We believe that this account can lead to a form of
artificial intelligence more powerful than traditional attempts based on formal
logic.
Cite this paper
Harvey, K. (2018). Artificial Dasein: Solving the Frame Problem with Incremental Contextualization. Open Access Library Journal, 5, e4535. doi: http://dx.doi.org/10.4236/oalib.1104535.
Clark, E.V. (1999) Acquisition in the Course of Conversation. Studies in the Linguistic Sciences (Forum Lectures from the 1999 Linguistics Institute), 29, 1-18.
Dreyfus, H.L. (2002) Intelligence without Representa-tion—Merleau-Ponty’s Critique of Mental Representation. The Relevance of Phenom-enology to Scientific Explanation. Phenomenology and the Cognitive Sciences, 1, 367-383.
https://doi.org/10.1023/A:1021351606209
Tenenbaum, J.B., Griffiths, T.L. and Kemp, C. (2006) Theory-Based Bayesian Models of Inductive Learning and Reasoning. Trends in Cognitive Sciences, 10, 309-318.
https://doi.org/10.1016/j.tics.2006.05.009
Greenwald, A.G. (1970) Sensory Feedback Mechanisms in Performance Control: With Special Reference to the Ideo-Motor Mechanism. Psychological Review, 77, 73-99.
https://doi.org/10.1037/h0028689
Wolpert, D.M. and Kawato, M. (1998) Multiple Paired Forward and Inverse Models for Motor Control. Neural Networks, 11, 1317-1329.
https://doi.org/10.1016/S0893-6080(98)00066-5
Haruno, M., Wolpert, D.M. and Kawato, M. (2001) MOSAIC Model for Sensorimotor Learning and Control. Neural Computation, 13, 2201-2220.
https://doi.org/10.1162/089976601750541778
Pezzulo, G. (2011) Grounding Procedural and Declarative Knowledge in Sensorimotor Anticipation. Mind Lang., 26, 78-114.
https://doi.org/10.1111/j.1468-0017.2010.01411.x
Jamone, L., Natale, L., Hashimoto, K., Sandini, G. and Takanishi, A. (2011) Learning Task Space Control through Goal Directed Exploration. 2011 IEEE International Conference on Robotics and Biomimetics, Karon Beach, 7-11 December 2011, 702-708.
Barsalou, L.W. and Wiemer-Hastings, K. (2005) Situating Abstract Concepts. In: Pecher, D. and Zwaan, R.A., Eds., Grounding Cognition: The Role of Perception and Action in Memory, Language, and Thinking, Cambridge University Press, Cambridge, 129-163.
https://doi.org/10.1017/CBO9780511499968.007
Borghi, A.M., Bonfiglioli, C., Lugli, L., Ricciardelli, P., Rubichi, S. and Nicoletti, R. (2007) Are Visual Stimuli Sufficient to Evoke Motor Information? Studies with Hand Primes. Neuroscience Letters, 411, 17-21.
https://doi.org/10.1016/j.neulet.2006.10.003
McBride, J., Boy, F., Husain, M. and Sumner, P. (2012) Automatic Motor Activation in the Executive Control of Action. Frontiers in Human Neuroscience, 6, 82.
Cisek, P. (2007) Cortical Mechanisms of Action Selection: The Affordance Competition Hypothesis. Philosophical Transactions of the Royal Society B, 362, 1585-1599.
https://doi.org/10.1098/rstb.2007.2054
Melcher, D. and Kowler, E. (2001) Visual Scene Memory and the Guidance of Saccadic Eye Movements. Vision Research, 41, 3597-3611.
https://doi.org/10.1016/S0042-6989(01)00203-6
Badets, A. and Osiurak, F. (2017) The Ideomotor Recycling Theory for Tool Use, Language, and Foresight. Experimental Brain Research, 235, 365-377.
https://doi.org/10.1007/s00221-016-4812-4
Pezzulo, G., Barca, L., Boc-coni, A.L. and Borghi, A.M. (2010) When Affordances Climb into Your Mind: Ad-vantages of Motor Simulation in a Memory Task Performed by Novice and Expert Rock Climbers. Brain and Cognition, 73, 68-73.
https://doi.org/10.1016/j.bandc.2010.03.002