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Filippo Fabrocini

Filippo Fabrocini 现任同济大学创意设计学院正教授,“可持续人工智能实验室”主任,并且是同济大学“人工智能&艺术实验室”创始人之一。他同时隶属于意大利国家研究委员会(计算应用研究所),担任 “Journal of Experimental and Theoretical Artificial Intelligence” 期刊的副主编,以及 “AI & Society” 期刊的副编辑。他的主要兴趣领域是机器学习、量子神经网络、人工智能伦理和计算艺术。

 

此前,Filippo Fabrocini在 IBM Research Center 担任高级研究员,供职于人工智能团队(1986年至1992年);他作为访问学者在 Carnegie Mellon University 计算机科学学院工作,并与Herbert Simon 教授(ACM 图灵奖以及诺贝尔奖得主)合作(1987年);他曾出任 Gregorian University 哲学系教授,主持逻辑学教席,并代理当代哲学史教席(1993年至2001年);之后他加入 IBM Milan/Rome Business Innovation Centers,担任总经理一职,管理一个40-45人的团队,包括创意总监、用户体验设计师、用户界面设计师、内容策略师和 IT 架构师(2001年至2010年)。在中国, Filippo Fabrocini 先后担任四川大学计算机学院(软件学院)正教授(2015年至2016年),北京理工大学软件学院正教授(2016年至2018年),主要为研究生讲授与人工智能相关的课程。Fabrocini 教授拥有哲学硕士学位 (Rome, Gregorian University)、认知科学硕士学位 (Brighton, Sussex University),以及哲学博士学位, 其博士论文主题为心智的表征理论。Gregorian University 是隶属于罗马教廷管辖的最重要学术机构,其哲学系曾有 Bernard Lonergan、Fredrick Copleston 和 Johannes Baptist Lotz 等上世纪下半叶最具影响力的基督教哲学家就职。在 Gregorian University 任教期间,Fabrocini 教授开设了多门当代哲学史课程,尤其着重于 Adorno 的艺术理论,以及语言哲学和心智哲学。同样地,Sussex University 的认知研究学院为 Fabrocini 教授提供了研究先锋性课题的独特机会,当时认知科学正处于发展初期,他有机会与 Douglas Hofstadter、Aaron Sloman 和 Margaret Boden 等杰出学者一起学习和研究。

 

Filippo Fabrocini 曾多次获奖,包括两次 IBM Outstanding Technical Award  (OTA) 和一次 IBM Client-Value Outstanding Technical Achievement Award (OTAA)。他还获得了由意大利政府情报及安全服务执行委员会 (CESIS) 颁发的荣誉奖项,该委员会的职责是协调意大利所有情报部门,当时由前总理 S. Berlusconi 担任主席。这一奖项旨在表彰他在设计一款知识管理/文本挖掘系统方面做出的贡献,该项目亦曾在意大利议会进行过展示。Fabrocini 教授对现代及当代艺术有着浓厚的兴趣,这源于他父母对收藏艺术品的热爱。在中国,他在各种艺术机构进行了演讲,包括在中央美术学院(北京)、鲁迅美术学院(沈阳)以及中国人民大学艺术学院,讨论与现代及当代艺术相关的话题。他还在厦门大学经济学院(厦门)关于艺术创业 (Artpreneurship) 的商业主题上进行了讲座。Fabrocini 教授还是意大利和中国多个艺术展览的策展人。同时,他也频繁受邀就人工智能相关主题发表演讲和讲座,包括新华社、广东电视台以及2021年世界人工智能大会 (WAIC 2021),在那里他担任主旨演讲嘉宾并主持了三个小组讨论。

 

 

代表性论文

  

[1] L. Di Pace, F. Fabrocini, M. Maggiore, "Conceptual Clustering: Using Apriori and Aposteriori Evidence to Generate a Hierarchical Taxonomy", in Atti del Congresso Annuale dell'Associazione Italiana per il Calcolo Automatico, AICA, Cagliari, 1988.

 

[2] L. Di Pace, F. Fabrocini, “Nuove frontiere nei sistemi esperti: apprendimento automatico di conoscenza”, in Note di Informatica, n. 20, 1988.

 

[3] F. Fabrocini, "Macchine che imparano e macchine che imparano ad imparare", in Homo Loquens, A. Lobato ed., Bologna, ESD, 1989.

 

[4] F. Fabrocini, "The SEL Project. An Application of AI Technology to the Preliminary Parts of Civil Proceedings", in Proceedings of the International Conference on Logic, Computer, Science and Law, Firenze, 1989.

(该论文致力于设计和实施意大利民法典31条条款和相应法理的逻辑模型。该模型还包括一个假设性推理系统。)

 

[5] L. Di Pace, F. Fabrocini, "Improving Knowledge-Based Systems via Conceptual Clustering", in Proceedings of the Tenth International Workshop on Expert Systems and Their Applications, Avignone, EC2, 1990.

 

[6] L. Di Pace, F. Fabrocini, "Using Classification to Guide Knowledge Acquisition and Refinement in Real-World Domains", in Cybernetics and Systems '90, Proceedings of the Tenth European Meeting on Cybernetics and System Research, London, World Scientific Publishing, 1990.

 

[7] L. Di Pace, F. Fabrocini, "Learning from Observation in Noisy Environments via Integration of EBL and SBL Techniques", in Proceedings of the Ninth European Conference on Artificial Intelligence, ECAI, London, Pitman Publishing, 1990.

(该论文利用了J. Pearl的信念网络,是最早应用Pearl想法的论文之一。)

 

[8] F. Fabrocini, "Artificial Intelligence, Expert Systems, and Machine Learning: Techniques, Problems, and Perspectives", in Proceedings of the European School of Chemiometry, Tipografia Sibilli, Gargnano, 1990.

 

[9] L. Di Pace, F. Fabrocini, "Integrazione di tecniche empiriche ed analitiche nell'apprendimento da osservazioni", in Atti del Congresso Annuale dell'Associazione Italiana per il Calcolo Automatico, Bari, 1990.

 

[10] L. Di Pace, F. Fabrocini, "Apprendimento da osservazioni in ambienti affetti da rumore", in Atti del Primo Workshop del Gruppo AIIA di Interesse Speciale sull'Apprendimento Automatico, Torino, 1990.

 

[11] L. Di Pace, F. Fabrocini, G. Bolis, "Shift of Bias in Learning from Drug Compounds", in Proceedings of the European Working Session on Learning, EWSL, Berlin, Springer-Verlag, 1991.

(最早将“偏差”的概念以及在学习过程中自动偏移 (shifting automatically bias) 的技术引入到机器学习中的重要论文之一。)

 

[12] G. Bolis, L. Di Pace, F. Fabrocini, "A Machine Learning Tool for Computer-Aided Molecular Design", in Proceedings of the IEEE International Conference on Tools for Artificial Intelligence, Los Alamitos, IEEE Computer Society Press, 1991.

 

[13] G. Bolis, L. Di Pace, F. Fabrocini, "A Machine Learning Approach to Computer-Aided Molecular Design", in International Journal of Computer-Aided Molecular Design, 5, 1991.

(该论文仍是计算机辅助分子设计 (Computer-Aided Molecular Design) 领域的一个里程碑:它是第一篇将机器学习技术应用于新药设计的论文。)

 

[14] G. Bolis, L. Di Pace, F. Fabrocini, "Apprendimento automatico nella progettazione di farmaci", in Note di Informatica, n. 26, 1991.

 

[15] G. Bolis, L. Di Pace, F. Fabrocini, "A Machine Learning System for the Structure-Activity Relationship Problem", in International Journal of Expert Systems, 5, 1992.

 

[16] L. Di Pace, F. Fabrocini, “Knowledge-Based Molecular Retrieval System and Method Using a Hierarchy of Molecular Structures in the Knowledge Base”, U.S. Patent, N. 5,418,944, 1992.

(IBM 专利,涉及与分子结构三维表示相关的基于知识的检索技术。)

 

[17] F. Fabrocini, "Die Rolle der Praxis bei der Bildung der kognitiven Strukturen", in J. Quitterer & E. Runggaldier, eds. Der Neue Naturalismus - Eine Herausforderung an das christliche Menschenbild, Stuttgart, Kohlhammer, 1999.

(该论文利用“行动”概念来解释认知发展过程。)

 

[18] F. Fabrocini, F., S. Jian'an, “Intelligent Process Automation of Industries Using Artificial Intelligence and Machine Learning”, in Journal of Computing and Natural Science 1:2, 2021

(该论文展示了在工业领域应用颠覆性技术仍然是一个挑战。)

 

[19] A. Addazi, P. Chen, F. Fabrocini, C. Fields, E. Greco, M. Lulli, A. Marciano, R. Pasechnik, “Generalized Holographic Principle, Gauge Invariance and the Emergence of Gravity a la Wilczek”, in Frontiers of Astronomy and Space Sciences, June 2021.

(该论文展示全息原理的广义版本。)

 

[20] F. Fabrocini, K. Terzidis, “Re-framing AI: An AI Product Designer Perspective”, in Techne: Research in Philosophy and Technology, 25:3, 2022.

(该论文从设计角度对人工智能进行批判性重新构架。)

 

[21] K. Terzidis, F. Fabrocini, H. Lee, “Unintentional intentionality: Art and Design in the Age of Artificial Intelligence”, in AI & Society, January 2022.

(该论文致力于从人工智能艺术的视角重新审视“意向性”概念。)

 

[22] A. Marcianò, D. Chen, F. Fabrocini, C. Fields, E. Greco, N. Gresnigt, K. Jinklub, M. Lulli, K. Terzidis, E. Zappala, “Quantum Neural Networks and Topological Quantum Field Theories”, in Journal of Neural Networks, 153, 2022.

(该论文致力于在量子平台上实现神经网络。)

 

[23] K. Terzidis, F. Fabrocini, “Deep Permutation Design. An AI-based Design Methodology”, in Leonardo, March 2023.

(该论文阐述了一种基于排列和神经网络的人工智能设计方法论。)

 

[24] A. Marciano, D. Chen, F. Fabrocini, C. Fields, M. Lulli, Emanuele Zappala, “Deep Neural Networks as the Semi-classical Limit of Topological Quantum Neural Networks: The Problem of Generalization”, arXiv:2210.13741.

(该论文处理神经网络中的泛化问题。)

 

[25] C. Fields, F. Fabrocini, K. Friston, J. F. Glazebrook, H. Hazan, M. Levin, A. Marciano, “Control flow in active inference systems Part I: Classical and quantum formulations of active inference”, in IEEE Transactions on Molecular, Biological and Multi-Scale Communications.

(该论文回顾自由能原理的经典与量子表述。)

 

[26] C. Fields, F. Fabrocini, K. Friston, J. F. Glazebrook, H. Hazan, M. Levin, A. Marciano, “Control flow in active inference systems Part II: Tensor Networks as General Models of Control Flow”, in IEEE Transactions on Molecular, Biological and Multi-Scale Communications.

(该论文展示如何在量子拓扑神经网络的一般框架内实现张量网络作为控制系统。)

 

[27] F. Fabrocini, K. Terzidis, “Finally, The Death of the Author!”, in AI & Society (forthcoming).

(该论文论述了人工智能在艺术场所去商品化过程中的作用。)

[28] F. Fabrocini, K. Terzidis, K. Jinklub, What Is the Problem with a Deontic Approach to AI? The Principle of “Autonomy” and the “Decide-to-Delegate” Model (submitted).

(该论文展示了对于纯粹基于义务论方法处理人工智能伦理问题的局限性。)

 

 

出版专著

 

[1] L. Di Pace, F. Fabrocini, Tecnologia dell'Apprendimento, Roma, Franco Angeli, 1990.

(该书格外重要,因为它是在意大利出版的第一本关于机器学习的大学教科书。)

 

[2] F. Fabrocini, Introduction to Logic, Roma, Pontificia Università Gregoriana Editrice, 1991.

(“逻辑学导论”课程的讲义。)

 

[3] F. Fabrocini, Il labirinto e lo specchio. Tecniche e problemi della logica moderna, Roma, Franco Angeli, 1998.

(该书从哲学的角度介绍数理逻辑。)

 

[4] F. Fabrocini, ed., Strategie collaborative e creazione del valore, Roma, Franco Angeli, 2010.


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