走向有意识的人工制品: ChatGPT是钥匙, 但要打开门, 必须找到锁
PDF下载 (726)SAMSONOVICH Alexei V.走向有意识的人工制品: ChatGPT是钥匙, 但要打开门, 必须找到锁[J].宁波大学学报(理工版),2025,38(2):1-16.DOI:10.20098/j.cnki.1001-5132.2024.1121
SAMSONOVICH Alexei V.Towards conscious artifacts: ChatGPT is the key, but to open the door, one must find the lock[J].Journal of Ningbo University(Natural Science & Engineering Edition),2025,38(2):1-16.DOI:10.20098/j.cnki.1001-5132.2024.1121
| Title: | Towards conscious artifacts: ChatGPT is the key, but to open the door, one must find the lock |
| 作者: | SAMSONOVICH Alexei V |
| Author(s): | SAMSONOVICH Alexei V |
| 关键词: | 机器意识; 意识难题; 信念-欲望-意图; 生物启发认知架构; 大语言模型; 虚拟导师 |
| Keywords: | machine consciousness; the Hard Problem; BDI; BICA; LLM; virtual tutor |
| 分类号: | TP18 |
| DOI: | 10.20098/j.cnki.1001-5132.2024.1121 |
| 文献标识码: | A |
| 摘要: | 在机器中复制人类意识(可被理解为一种直接的第一人称主观体验)的想法是这个时代最大的挑战之一. 对现象意识的本质的科学理解可能需要扩展科学方法本身. 可以暂时搁置解决该问题, 而先尝试在功能主义的框架内在计算机中重现意识现象. 迄今为止, 为此所提出的相关理论似还存在问题. 提出了一种基于BICA(生物启发认知架构)结合LLM(大语言模型)实现类人意识的方法, 并以虚拟导师为案例对其进行说明. 一般认为, 上述问题的最终解决方案可以以纯神经形态的形式获得, 且这一形式能使其得以进一步变更、发展和演化. 为此, 从意识的本体论问题及其暂时的非还原解决方案开始讨论, 因为这是科学研究的一条可行路线. 主要假设是基于“BICA挑战”中有关eBICA认知架构制定的, 作为例子仅分析了有限的社会情感意识案例, 解释了本身不具备意识的LLM如何通过ChatGPT连接到eBICA, 用于构建有意识的人工制品原型并验证其声称的性能. 所选定的虚拟导师案例进一步说明了这项技术将如何使虚拟导师发展出人类级别的师生关系, 从而提高辅导效率. 未来的研究方向可以包括创建各种各样具有感知能力、且有可能进一步自主进化的代理物, 以满足人类的众多实际需求. |
| Abstract: | The idea to replicate in a machine human consciousness, understood as an immediate first-person subjective experience, becomes one of the greatest challenges of our time. Scientific understanding of the nature of phenomenal consciousness may require an expansion of the scientific method itself. While this resolution is postponed, the task of reproducing the consciousness phenomenon in a computer should be approached within the framework of functionalism. Proposed so far theories of this sort appear problematic. An approach to implementing humanlike consciousness is proposed here based on BICA (biologically inspired cognitive architectures) combined with LLM (large language models). The concept is illustrated by example of a virtual tutor. It is argued that final solutions can be obtained in a purely neuromorphic form, which will enable their further adaptation, growth, and evolution. We start from discussion of the ontological problem of consciousness and its temporary nonreductive solution, which makes a scientific study possible. The main hypothesis for the proposed study is formulated based on the BICA Challenge in terms of the eBICA cognitive architecture. Only the limited case of socially emotional consciousness is analyzed as example. It is explained how LLM, being not conscious on their own, accessible via ChatGPT, can be connected to eBICA, used to build a conscious prototype and validate its claimed property. Selected example of a virtual tutor further illustrates how this technology will allow the tutor to develop human-level teacher-student relationships that will increase the efficiency of tutoring. Future prospects for the proposed direction of research include a variety of sentient agents to be created for the many practical human needs with the possibility of their further autonomous evolution. |
| 参考文献 /References: | [1] WU R, YU Z. Do AI chatbots improve students learning outcomes? Evidence from a meta-analysis[J]. British Journal of Educational Technology, 2024, 55(1):10-33. [2] CHALMERS D J Could a large language model be conscious?[EB/OL]. [2024-08-12]. https://arxiv.org/abs/ 2303.07103. [3] CHALMERS D J. The conscious mind: in search of a fundamental theory[M]. New York: Oxford University Press, 1996. [4] HUTH A G, DE HEER W A, GRIFFITHS T L, et al. Natural speech reveals the semantic maps that tile human cerebral cortex[J]. Nature, 2016, 532(7600):453-458. [5] DORAHY M J, BRAND B L, ŞAR V, et al. Dissociative identity disorder: an empirical overview[J]. Australian and New Zealand Journal of Psychiatry, 2014, 48(5):402-417. [6] DUBROVSKY D I. The mind-body problem: the informational approach[J]. Znanie, Ponimanie, Umenie (Knowledge, Understanding, Skills), 2013, 2013(4):92-98. (in Russian) [7] VAN GULICK R R. Reduction, emergence and other recent options on the mind/body problem: a philosophic overview[J]. Journal of Consciousness Studies, 2001, 8:1-34. [8] FARTHING W G. The psychology of consciousness[M]. Englewood Cliffs, NJ: Prentice Hall, 1992. [9] KUHN R L. A landscape of consciousness: Toward a taxonomy of explanations and implications[J]. Progress in Biophysics and Molecular Biology, 2024, 190:28-169. [10] SAMSONOVICH A V, ASCOLI G A, MOROWITZ H, et al. A scientific perspective on the hard problem of consciousness[J]. Frontiers in Artificial Intelligence and Applications, 2008, 171(1):493-505. [11] CHURCHLAND P M. Eliminative materialism and the propositional attitudes[J]. The Journal of Philosophy, 1981, 78(2):67-90. [12] DENNETT D C. Consciousness explained[M]. Boston, MA: Little, Brown and Co, 1991. [13] GROSSMANN R. The existence of the world: an introduction to ontology[M]. London: Routledge, 2020. [14] BAARS B J. Global workspace theory of consciousness: toward a cognitive neuroscience of human experience[J]. Progress in Brain Research, 2005, 150:45-53. [15] TONONI G, KOCH C. Consciousness: here, there and everywhere?[J]. Philosophical Transactions of the Royal Society of London Series B, Biological Sciences, 2015, 370(1668):20140167. [16] POPPER K. The logic of scientific discovery[M]. Abingdon, UK: Taylor & Francis, 2002. [17] SAMSONOVICH A V. On a roadmap for the BICA challenge[J]. Biologically Inspired Cognitive Architectures, 2012, 1:100-107. [18] LAIRD J E, LEBIERE C, ROSENBLOOM P S. A standard model of the mind: toward a common computational framework across artificial intelligence, cognitive science, neuroscience, and robotics[J]. AI Magazine, 2017, 38(4):13-26. [19] ROSENBLOOM P S, LAIRD J E, LEBIERE C, et al. A proposal for extending the common model of cognition to emotion[C]//Proceedings of the 22nd International Conference on Cognitive Modeling, 2024. [20] SAMSONOVICH A V. Emotional biologically inspired cognitive architecture[J]. Biologically Inspired Cognitive Architectures, 2013, 6:109-125. [21] SAMSONOVICH A V. Socially emotional brain-inspired cognitive architecture framework for artificial intelligence [J]. Cognitive Systems Research, 2020, 60:57-76. [22] NEWELL A. Unified theories of cognition[M]. Cambridge, MA: Harward University Press, 1990. [23] KOTSERUBA I, TSOTSOS J K. 40 years of cognitive architectures: core cognitive abilities and practical applications[J]. Artificial Intelligence Review, 2020, 53:17-94. [24] SAMSONOVICH A V. Toward a unified catalog of implemented cognitive architectures[M]//SAMSONOVICH A V, Jóhannsdóttir K R, Chella A, et al. Biologically Inspired Cognitive Architectures 2010. Amsterdam: IOS Press, 2010:195-244. [25] ZIMMERMAN B J, KITSANTAS A. The hidden dimension of personal competence: self-regulated learning and practice[M]//Elliot A J, Dweck C S. Handbook of competence and motivation. New York: Guilford Press, 2008:509-526. [26] RICHARDS C. Certain to win: the strategy of John Boyd, applied to business[M]. Atlanta, GA: Xlibris, 2004. [27] ANOKHIN P K. Philosophical aspects of the theory of a functional system[J]. Soviet Studies in Philosophy, 1971, 10(3):269-276. [28] SAMSONOVICH A V. Extending cognitive architectures [M]//Chella A, Pirrone R, Sorbello R, et al. Biologically Inspired Cognitive Architectures 2012. Berlin: Springer, 2013:41-49. [29] MARSELLA S, GRATCH J, PETTA P. Computational models of emotion[M]//Scherer K R, Bänziger T, Roesch E. A blueprint for affective computing: a sourcebook and manual. Oxford: Oxford University Press, 2010, 11(1):21-46. [30] MARSELLA S C, GRATCH J. EMA: a process model of appraisal dynamics[J]. Cognitive Systems Research, 2009, 10(1):70-90. [31] MUELLER E T. Commonsense reasoning: an event calculus based approach[M]. 2nd ed. New York: Morgan Kaufmann, 2015. [32] GLUZ J, JAQUES P A. A probabilistic formalization of the appraisal for the OCC event-based emotions[J]. Journal of Artificial Intelligence Research, 2017, 58:627-664. [33] ORTONY A, CLORE G L, COLLINS A. The cognitive structure of emotions[M]. Cambridge, UK: Cambridge University Press, 1988. [34] MEYER J-J Ch. Reasoning about emotional agents[C]// Proceedings of ECAI’04, 2004:129-133. [35] STEUNEBRINK B R, DASTANI M, MEYER J-J CH. A formal model of emotion triggers: an approach for BDI agents[J]. Synthese, 2012, 185:83-129. [36] WANG Y Y, LIU Z, LIU T T, et al. On the logic of agent’s emotions[J]. Cognitive Systems Research, 2024, 88:101281. [37] LAIRD J E. The soar cognitive architecture[M]. Cambridge, MA: The MIT Press, 2012. [38] FRIJDA N H. Appraisal and beyond[J]. Cognition and Emotion, 1993, 7(3/4):225-231. [39] SCHERER K R. Appraisal theory[M]//Dalgleish T, Power M. Handbook of cognition and emotion. London: Wiley, 1999:637-663. [40] Wikipedia. The free encyclopedia[EB/OL]. [2024-11-20] https://en.wikipedia.org/w/index.php?title=Intension&oldid=1242642153. [41] HUTH A G, NISHIMOTO S, VU A T, et al. A continuous semantic space describes the representation of thousands of object and action categories across the human brain[J]. Neuron, 2012, 76(6):1210-1224. [42] SAMSONOVICH A V, GOLDIN R F, ASCOLI G A. Toward a semantic general theory of everything[J]. Complexity, 2010, 15(4):12-18. [43] SAMSONOVICH A V. On semantic map as a key component in socially-emotional BICA[J]. Biologically Inspired Cognitive Architectures, 2018, 23:1-6. [44] GARDENFORS P. Conceptual spaces[M]. Cambridge, MA: MIT Press, 2004. [45] GASQUET O, HERZIG A, SAID B, et al. Kripke’s worlds: an introduction to modal logics via tableaux[M]. Basel: Birkhäuser Basel, 2014. [46] PENTLAND B T, FELDMAN M S. Narrative networks: patterns of technology and organization[J]. Organization Science, 2007, 18(5):781-795. [47] BERGLAS-SHAPIRO T, EYLON B S, SCHERZ Z. A technology-enhanced intervention for self-regulated learning in science[J]. Teachers College Record: the Voice of Scholarship in Education, 2017, 119:1-26. [48] TRAFTON J G, HIATT L M, BRUMBACK B, et al. Using cognitive models to train big data models with small data[C]//Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020:1413-1421. [49] MCCARTHY J, MINSKY M L, ROCHESTER N, et al. A proposal for the Dartmouth summer research project on artificial intelligence[M]//Chrisley R, Begeer S. Artificial intelligence: critical concepts. London: Routledge, 2000: 44-53. [50] LI Q, LIU T T, LIU Z, et al. Emotionally intelligent virtual tour guide in handling group conflicts: Effect on user outcomes[J]. Computer Animation and Virtual Worlds, 2023, 34(3/4):e2153. |
| 备注/Memo: | Received date: 2024−11−22. JOURNAL OF NINGBO UNIVERSITY ( NSEE ): http://journallg.nbu.edu.cn/ Foundation item: Supported by Russian Science Foundation (22-11-00213). Biography: SAMSONOVICH Alexei V, professor, specializing in: cognitive architectures and semantic technologies. Email: AVSamsonovich@mephi.ru 宁波大学学报（理工版）网址：http://journallg.nbu.edu.cn/ |
