Abstract
Why do people hesitate—to do something, or not to do something—even when the data available to them remain constant? The neural model of human working memory (WM) we present in this paper explains hesitation as an emergent property of a complex dynamic structure of stored/processed information. WM is considered as a geometric space inhabited by a “society” of memes, i.e., complex informational structures. A large population of identical memes can cause a feeling, judgment, or intention in an individual. The memes navigate all over WM and interact with one another in a way resembling genetic cross-over; hence, new memes are born at several places in WM. Since the birth of contradictory memes is possible, populations of memes contributing to contradictory feelings, judgments, and plans grow in WM and fight for domination. A computer simulation of the process showed that WM's state sometimes goes to a two-focal “strange” attractor. Hence, sudden mental shifts, as, say, from love to hate and back from hate to love, may be caused by minute fluctuations in the densities of meme streams entering WM. The complex system theory calls this phenomenon the “butterfly effect”. We argue that this effect takes place in the human mind and also can take place in an advanced robot.
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References
Shimohara K (1999) Evolutionary systems for brain communication. Proceedings of an International Symposium on Low-Power and High-Speed Chips (COOL Chips II), Kyoto, Japan, p 37–50
Nowak A, Vallacher R (1998) Dynamical social psychology Guilford, New York
Vallacher RR, Nowak A (1994) The stream of social judgment. In: Vallachor RR, Nowak A (eds) Dynamical systems in social psychology. Academic Press, San Diego, p 251–277
Minsky M (1987) The society of mind. Simon & Schuster, New York.
de Garis H, Gers F, Korkin M, et al. (1998) Building an artificial brain using an FPGA-based “CAM-brain machine”. Proceedings of the 3rd International Symposium on Artificial Life and Robotics (AROB III'98), Oita, Japan, p 258–262
Baddeley AD (1999) Essentials of human memory. Psychology Press, Hove
Anderson JR (1993) Rules of the mind. Lawrence Erlbaum, Hillsdale
Tulving E (1995) Organization of memory: quo vadis? In: Gazzaniga MS (ed) The cognitive neurosciences. Bradford Books/MIT Press, Cambridge, p 839–847
Buller A (1998) Sztuczny mózg. To jużnie fantazje. Prószynski i Ska, Warsaw
Buller A, de Garis H (1998) Brain-building strategy: some remarks and questions. Proceedings of the Workshop on Intelligent Information Systems (IIS'98), Malbork, p 188–193
Rosch E (1975) Cognitive representations of semantic categories. J Exp Psychol Gen 104: 192–223
Zadeh L (1965) Fuzzy sets. Inf Control 8:338–353
Buller A (1995) Operations on multimodal records: to wards a computational cognitive linguistics. Tech Rep TR-95-027, International Computer Science Institute, Berkeley
Buller A (1996) Fizzy-fuzzy inferencing. In: Furuhashi T, Uchikawa Y (eds) Fuzzy logic, neural networks, and evolutionary computation. Springer, Berlin, p 172–187
Buller A (1999) Fuzziness, mega-networks and CoDi technique. 4th Conference on Neural Networks and Their Applications, May 18–22, Zakopane, Poland
Buller A (2000) MemeStorms: a computational model of human working memory ATR Tech Rep TR-H-300, Kyoto.
Plotkin H (1993) Darwin machines and the nature of knowledge. Harvard University Press, Cambridge
Brodie R (1996) Virus of the mind: the new science of the meme. Integral Press, Seattle
Buller A (2000) Self-organization of mind. PhD Dissertation, Department of Psychology, Warsaw University
Calvin WH (1996) The cerebral code: thinking thought in the mosaic of the mind. Bradford Books/MIT Press, Cambridge
Buller A, Shimohara K (2000) Does the “butterfly effect” take place in human working memory? 5th International Symposium on Artificial Life and Robotics (AROB 5th '00), January 26–28, 2000, Oita, Japan, p 204–207
Casti JL (1994) Complexification: explaining a paradoxical world through the science of surprise. Harper Collins, New York
Gers F, de Garis H, Korkin M (1997) CoDi-1-bit: a simplified cellular automata-based neuron model. Evolution Artificielle (AE '97), Nimes, France, p 211–229
Shimohara K, Hemmi H (1999) Evolving artificial brain (in Japanese). Comput Today 4:4–9
de Garis H, Buller A, Korkin M, et al. (1999) ATR's artificial brain (“CAN-brain”) project: a sample of what individual “CoDi-1-bit” model evolved neural net modules can do with digital and analog I/O. 1st NASA/DoD Workshop on Evolvable Hardware, Pasadena, CA, USA, p 102–110
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Buller, A., Shimohara, K. On the dynamics of judgment: does the butterfly effect take place in human working memory?. Artif Life Robotics 5, 88–92 (2001). https://doi.org/10.1007/BF02481344
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DOI: https://doi.org/10.1007/BF02481344