ANDREA G. B. TETTAMANZI

 

 

Universitŕ degli Studi di Milano

Dipartimento di Tecnologie dell'Informazione

Via Bramante 65 – I-26013 Crema (CR), Italy

Voice:     +39-02-503-30065 (office)

                +39-320-4378942 (mobile)

Fax:        +39-02-503-30010

E-mail: andrea.tettamanzi@unimi.it

 

PERSONAL DATA

 

First name: Andrea Giovanni Battista    Last name: Tettamanzi

Date of birth: May 6, 1966                        Place of birth: Milan, Italy.

Sex: male.                                                    Nationality: Italian.

Marital status: married, with two children.

 

LANGUAGES

 

Italian (native), English (fluent), Portuguese (fluent), French (fluent).

 

RESEARCH INTERESTS

 

Evolutionary algorithms, fuzzy logic, and soft computing (or computational intelligence) in general; recently, he has also engaged in research on the logical foundations of cognitive agents. Application of the above to real-world financial and industrial problems.

 

SKILLS

 

Research, lecturing, technical writing, research direction, software design, documentation and implementation.

 

EDUCATION

 

2/95                        Ph.D. in Computational Mathematics and Operations Research, University of Milan. Dissertation title: “Algoritmi Evolutivi per l'Ottimizazione” (“Evolutionary Algorithms for Optimization”). Research advisors: Prof. Gianni Degli Antoni (Computer Science Dept.), Prof. Vincenzo Capasso (Mathematics Dept.).

 

2/91                        Master's Degree in Computer Science, University of Milan. Dissertation title: “Formalismi Grammaticali basati sull'Unificazione” (“Unification-Based Grammar Formalisms”). Research advisor Prof. Gianni Degli Antoni (Computer Science Dept.).

 

RESEARCH AND PROFESSIONAL EXPERIENCE

 

11/02–present      Associate Professor at the University of Milan.

 

11/98–10/02          Assistant Professor at the University of Milan.

 

11/96–10/98          Post-Doc Researcher at the University of Milan. Investigating theory and applications of evolutionary algorithms for fuzzy system optimization.

 

2/95–7/08              Co-founder and owner at Genetica s.r.l., a Milan-based company specializing in soft computing consulting and applications, where he was responsible of Research & Development; his duties included executive selling, project management, and research coordination.

 

2/94–2/95              Participation in the Berkeley Initiative on Soft Computing, as a Visiting Scholar, with the Computer Science Division of the University of California at Berkeley, under the supervision of Prof. Lotfi A. Zadeh. Researching techniques for building hybrid systems based on fuzzy systems and evolutionary algorithms. Applications to symbolic regression, power systems and process control.

 

4/93–9/93              Scientific consultancy for SIGE Consulenza SIM S.p.A., Milan (I.M.I. Group), a mutual fund management company, for the application of evolutionary techniques to portfolio selection.

 

2/92–2/95              Ph.D. Student at the University of Milan. Modelling evolutionary algorithms as stochastic processes and investigating their convergence properties.

 

2/91–2/92              Investigating a grammar formalism based on equational logic and its relationships with term rewriting systems and automated theorem proving techniques.

 

TEACHING EXPERIENCE

 

10/03-present       Teaching a two-semester class on Computer Programming at the University of Milan.

 

10/02-6/03             Teaching a one-semester class on Programming Languages at the University of Milan.

 

10/01-present       Teaching a half-semester module of a class on Bioinformatics at the University of Milan.

 

10/99-present       Teaching a one-semester class on Information Theory at the University of Milan.

 

10/99-6/01             Teaching a one-semester laboratory on Algorithms and Data Structures.

 

10/98-10/02           Teaching a module on evolutionary algorithms at the University of Milan.

 

6/93-10/98             Research advisor for students preparing their Master's Thesis at the Computer Science Department of the University of Milan.

 

PUBLICATION LIST

 

Dissertations

 

[1]        Andrea G. B. Tettamanzi. Formalismi grammaticali basati sull'unificazione. Master's thesis, Universitŕ degli Studi di Milano, Milan, 1991. In Italian.

 

[2]        Andrea G. B. Tettamanzi. Algoritmi Evolutivi per l'Ottimizzazione. PhD thesis, Universitŕ degli Studi di Milano, Milan, 1995. In Italian.

 

Monographs

 

[3]        Andrea G. B. Tettamanzi and Marco Tomassini. Soft Computing: Integrating evolutionary, neural, and fuzzy systems. Springer-Verlag, Berlin, 2001.

 

Refereed Journals

 

[4]        Salvatore Arnone, Andrea Loraschi, and Andrea G. B. Tettamanzi. A genetic approach to portfolio selection. Neural Network World, International Journal on Neural and Mass-Parallel Computing and Information Systems, 3(6):597--604, 1993.

 

[5]        Dipti Srinivasan and Andrea G. B. Tettamanzi. A heuristic-guided evolutionary approach to multiobjective generation scheduling. IEE Proceedings Part C|Generation, Transmission and Distribution, 143(6):553--559, November 1996.

 

[6]        Dipti Srinivasan and Andrea G. B. Tettamanzi. An evolutionary algorithm for evaluation of emission compliance options in view of the clean air act amendments. IEEE Transactions on Power Systems, 12(1):336–559, February 1997.

 

[7]        Ernesto Damiani, Giovanni Degli Antoni, and Andrea G. B. Tettamanzi. DEE: A tool for genetic tuning of software components on a distributed network of workstations. International Journal of Applied Software Technology, 3(2/3):127–144, 1998.

 

[8]        Mathieu Capcarrµere, Andrea G. B. Tettamanzi, Marco Tomassini, and Moshe Sipper. A statistical study of a class of cellular evolutionary algorithms. Evolutionary Computation, 7(3):255–274, 1999.

 

[9]        Ernesto Damiani, Valentino Liberali, and Andrea G. B. Tettamanzi. FPGA-based hash circuit synthesis with evolutionary algorithms. IEICE Transactions on Fundamentals, E82-A(9):1888–1896, September 1999.

 

[10]      Mario Giacobini, Marco Tomassini, Andrea Tettamanzi, and Enrique Alba. Selection intensity in cellular evolutionary algorithms for regular lattices. IEEE Transactions on Evolutionary Computation, 9(5):489–505, 2005.

 

[11]      Andrea G. B. Tettamanzi. Evolutionary algorithms: concepts and applications. UPGRADE: the european journal for the informatics professional, VI(3):66–76, June 2005.

 

[12]      Antonia Azzini and Andrea G. B. Tettamanzi. Evolving neural networks for static single-position automated trading. Journal of Artificial Evolution and Applications, 2008(Article ID 184286):1–17, 2008.

 

[13]      Célia da Costa Pereira and Andrea Tettamanzi. Reasoning about actions with imprecise and incomplete state descriptions. Fuzzy Sets and Systems, to appear.

 

[14]      Andrea G. B. Tettamanzi. Equational grammars. Note di Software, 52/53, 1992.

 

[15]      Andrea G. B. Tettamanzi. Algoritmi evolutivi: concetti ed applicazioni. Mondo digitale: rassegna critica del settore ICT, 2005(1):3–17, March 2005. In Italian.

 

Encyclopaedia Articles

 

[16]      Antonia Azzini and Andrea G. B. Tettamanzi. Evolutionary approaches for ANNs design. In J. R. Rabuńal Dopico, J. Dorado, and A. Pazos, editors, Encyclopedia of artificial intelligence, Information science reference. Hershey, 2008.

 

Book Chapters

 

[17]      Andrea Loraschi and Andrea G. B. Tettamanzi. An evolutionary algorithm for portfolio selection within a downside risk framework. In C. Dunis, editor, Forecasting Financial Markets, Series in Financial Economics and Quantitative Analysis, pages 275–285. John Wiley & Sons, Chichester, 1996.

 

[18]      Rinaldo Poluzzi, Gian Guido Rizzotto, and Andrea G. B. Tettamanzi. An evolutionary algorithm for fuzzy controller synthesis and optimization based on SGS-Thomson's W.A.R.P. fuzzy processor. In L. A. Zadeh E. Sanchez, T. Shibata, editor, Genetic algorithms and fuzzy logic systems: Soft computing perspectives, pages 71–89. World Scientific, Singapore, 1996.

 

[19]      Andrea G. B. Tettamanzi and Marco Tomassini. Evolutionary algorithms and their applications. In D. Mange and M. Tomassini, editors, Bio-Inspired Computing Machines: Towards novel computational architectures, pages 59–98. Presses Polytechniques et Universitaires Romandes, Lausanne, Switzerland, 1998.

 

[20]      Célia da Costa Pereira and Andrea G. B. Tettamanzi. An ontology-based method for user model acquisition. In Zongmin Ma, editor, Soft Computing in Ontologies and Semantic Web, volume 204 of Studies in Fuzziness and Soft Computing, pages 211–227. Springer, Berlin, 2006.

 

[21]      Daniel Sánchez and Andrea G. B. Tettamanzi. Fuzzy quantification in fuzzy description logics. In Elie Sanchez, editor, Fuzzy Logic and the Semantic Web, Capturing Intelligence, pages 135–159. Elsevier, Amsterdam, 2006.

 

[22]      Antonia Azzini and Andrea G. B. Tettamanzi. A new genetic approach for neural network design. In Ajith Abraham, Crina Grosan, and Witold Pedrycz, editors, Engineering Evolutionary Intelligent Systems, volume 82 of Studies in Computational Intelligence, pages 289–323. Springer, 2008.

[23]      Célia da Costa Pereira and Andrea G. B. Tettamanzi. Fuzzy-evolutionary modeling for single-position day trading. In A. Brabazon and M. O'Neill, editors, Natural computing in computational finance, volume 100 of Studies in computational intelligence, pages 131–160. Springer, Berlin, 2008.

 

Refereed Conferences

 

[24]      Andrea G. B. Tettamanzi. Equational grammars. In J. Darski and Z. Vetulani, editors, Sprache – Kommunikation – Informatik: Akten des 26. Linguistischen Kolloquiums, Poznań 1991, Band 2, volume 294 of Linguistischen Arbeiten, pages 549–554. Max Niemeyer Verlag, Tübingen, 1993.

 

[25]      Salvatore Arnone, Massimo Dell'Orto, and Andrea G. B. Tettamanzi. Toward a fuzzy government of genetic populations. In Proceedings of the 6th IEEE Conference on Tools with Artificial Intelligence (TAI'94), pages 585–591, Los Alamitos, CA, 1994. IEEE Computer Society Press.

 

[26]      Salvatore Arnone, Massimo Dell'Orto, Andrea G. B. Tettamanzi, and Marco Tomassini. Highly parallel evolutionary algorithms for global optimization, symbolic inference and non-linear regression. In R. Gruber and M. Tomassini, editors, Proceedings of the 6th Joint EPS-APS International Conference on Physics Computing, Geneva, 1994. European Physical Society.

 

[27]      Andrea Loraschi, Andrea G. B. Tettamanzi, Marco Tomassini, and Paolo Verda. Distributed genetic algorithms with an application to portfolio selection problems. In D. W. Pearson, N. C. Steele, and R. F. Albrecht, editors, Artificial Neural Networks and Genetic Algorithms, pages 384–387, Wien, 1995. Springer-Verlag.

 

[28]      Dipti Srinivasan and Andrea G. B. Tettamanzi. An integrated framework for devising optimum generation schedules. In Proceedings of the 1995 IEEE International Conference on Evolutionary Computing (ICEC'95), volume 1, pages 1–4. IEEE, 1995.

 

[29]      Andrea G. B. Tettamanzi. An evolutionary algorithm for fuzzy controller synthesis and optimization. In IEEE International Conference on Systems, Man and Cybernetics, volume 5/5, pages 4021–4026. IEEE Systems, Man and Cybernetics Society, 1995.

 

[30]      Andrea G. B. Tettamanzi. Evolutionary algorithms and fuzzy logic: A two-way integration. In P. W. Wang, editor, Proceedings of the 2nd Annual Joint Conference on Information Sciences, pages 464–467, Box 90291, Durham, NC, September 28–October 1 1995. Duke University.

 

[31]      Mauro Beretta, Giovanni Degli Antoni, and Andrea G. B. Tettamanzi. Evolutionary synthesis of a fuzzy image compression algorithm. In Proceedings of the Fourth European Congress on Intelligent Techniques and Soft Computing (EUFIT '96), volume 1, pages 466–470, Aachen, September 2–5 1996.

 

[32]      Mauro Beretta and Andrea G. B. Tettamanzi. An evolutionary approach to fuzzy image compression. In F. Masulli A. Bonarini, D. Mancini and A. Petrosino, editors, New Trends in Fuzzy Logic, Proceedings of the Italian Workshop on Fuzzy Logic (WILF '95), pages 49–57, Singapore, 1996. World Scientific.

 

[33]      Mauro Beretta, Giovanni Degli Antoni, Carlo Mastrorilli, and Andrea G. B. Tettamanzi. Fuzzy heuristic signal compression based on linguistic variables. In F. Masulli A. Bonarini, D. Mancini and A. Petrosino, editors, Proceedings of the 2nd Italian Workshop on Fuzzy Logic (WILF '97), pages 276–283, Singapore, 1998. World Scientific.

 

[34]      Andrea Bottari, Gianni Degli Antoni, and Andrea G. B. Tettamanzi. Tuning Fuzzy Software Components with a Distributed Evolutionary Engine. In Proceedings of the 1998 ACM Symposium on Applied Computing, pages 292–296, Atlanta, Georgia, February 27–March 1 1998. ACM Press.

 

[35]      Mathieu Capcarrµere, Andrea G. B. Tettamanzi, Marco Tomassini, and Moshe Sipper. Studying parallel evolutionary algorithms: The cellular programming case. In A. Eiben, Th. Bäck, M. Schoenauer, and H.-P. Schwefel, editors, Parallel Problem Solving from Nature - PPSN V, 5th International Conference Proceedings, pages 573–582, Berlin, 1998. Springer-Verlag.

 

[36]      Ernesto Damiani, Valentino Liberali, and Andrea G. B. Tettamanzi. Automatic synthesis of hashing function circuits using evolutionary techniques. In M. Lubaszewski and V. Castro Alves, editors, Proceedings of the XI Brazilian Symposium on Integrated Circuit Design, pages 42–45, Los Alamitos, CA, 1998. IEEE Computer Society.

 

[37]      Ernesto Damiani, Valentino Liberali, and Andrea G. B. Tettamanzi. Evolutionary design of hashing function circuits using an FPGA. In M. Sipper, D. Mange, and A. Pérez-Uribe, editors, Evolvable Systems: From Biology to Hardware. Second International Conference, ICES 98, pages 36–46, Berlin, 1998. Springer-Verlag.

 

[38]      Daniel Kobler and Andrea G. B. Tettamanzi. Recombination operators for evolutionary graph drawing. In A. Eiben, Th. BÄack, M. Schoenauer, and H.-P. Schwefel, editors, Parallel Problem Solving from Nature|PPSN V, 5th International Conference Proceedings, pages 988–997, Berlin, 1998. Springer-Verlag.

 

[39]      Andrea G. B. Tettamanzi. Drawing graphs with evolutionary algorithms. In I. Parmee, editor, Adaptive Computing in Design and Manufacture, pages 325–338, Berlin, 1998. Springer-Verlag.

 

 [40]     Moataz Ahmed, Ernesto Damiani, and Andrea G. B. Tettamanzi. A general-purpose fuzzy engine for crop control. In B. Reusch, editor, Proceedings of the Sixth Dortmund Fuzzy Days, pages 473–481, Dortmund, Germany, May 25–27 1999. Springer-Verlag.

 

[41]      Ernesto Damiani, Andrea G. B. Tettamanzi, and Valentino Liberali. On-line evolution of FPGA-based circuits: A case study on hash functions. In A. Stoica, D. Keymeulen, and J. Lohn, editors, Proceedings of the First NASA/DoD Workshop on Evolvable Hardware, pages 26–33, Pasadena, CA, July 19–21 1999. IEEE Computer Society.

 

[42]      Georges Matile, Andrea G. B. Tettamanzi, and Marco Tomassini. Evolutionary design of time-way charts for plating machines. In P. Angeline, editor, Proceedings of the Congress on Evolutionary Computation (CEC'99), pages 1178–1185, Washington, DC, July 6–9 1999. IEEE Press.

 

[43]      Stefania Baglioni, Célia da Costa Pereira, Dario Sorbello, and Andrea G. B. Tettamanzi. An evolutionary approach to multiperiod asset allocation. In R. Poli, W. Banzhaf, W. Langdon, J. Miller, P. Nordin, and T. Fogarty, editors, Genetic Programming. European Conference, EuroGP 2000, pages 225–236, Berlin, 2000. Springer-Verlag.

 

[44]      Stefania Baglioni, Dario Sorbello, Célia da Costa Pereira, and Andrea G. B. Tettamanzi. Evolutionary multiperiod asset allocation. In Whitley D, D. Goldberg, E. Cantú-Paz, L. Spector, I. Parmee, and H.-G. Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference GECCO 2000, pages 597–604, S. Francisco, CA, 2000. Morgan Kaufmann.

 

[45]      Ernesto Damiani, Valentino Liberali, and Andrea G. B. Tettamanzi. Dynamic optimisation of non-linear feed-forward circuits. In J. Miller, A. Thompson, P. Thomson, and T. Fogarty, editors, Evolvable Systems: From Biology to Hardware. Third International Conference, ICES 2000, pages 41–50, Berlin, 2000. Springer-Verlag.

 

[46]      Andrea G. B. Tettamanzi. Learning fuzzy rule-based models with evolutionary algorithms. In Proceedings of the Symposium on Computational Intelligence and Learning (CoIL 2000), pages 50–57, Chios, Greece, June 22–23 2000.

 

[47]      Massimiliano Erba, Roberto Rossi, Valentino Liberali, and Andrea G. B. Tettamanzi. An evolutionary approach to automatic generation of VHDL code for low-power digital filters. In J. Miller, M. Tomassini, P. L. Lanzi, C. Ryan, Andrea G. B. Tettamanzi, and W. Langdon, editors, Genetic Programming. 4th European Conference, EuroGP 2001, pages 36–50, Berlin, 2001. Springer-Verlag.

 

[48]      Massimiliano Erba, Roberto Rossi, Valentino Liberali, and Andrea G. B. Tettamanzi. Digital filter design through simulated evolution. In Proceedings of the European Conference on Circuit Theory and Design, volume II, pages 137–140, Espoo, Finland, August 2001.

 

[49]      Massimo Santini and Andrea G. B. Tettamanzi. Genetic programming for financial time series prediction. In J. Miller, M. Tomassini, P. L. Lanzi, C. Ryan, Andrea G. B. Tettamanzi, and W. Langdon, editors, Genetic Programming. 4th European Conference, EuroGP 2001, pages 361–370, Berlin, 2001. Springer-Verlag.

 

[50]      Calogero Di Stefano and Andrea G. B. Tettamanzi. An evolutionary algorithm for solving the school time-tabling problem. In E. Boers et al., editor, Applications of Evolutionary Computing. EvoWorkshops 2001, pages 452–462, Berlin, 2001. Springer-Verlag.

 

[51]      Antonia Azzini, M. Bettoni, Valentino Liberali, Roberto Rossi, and Andrea G. B. Tettamanzi. Evolutionary design and FPGA implementation of digital filters. In VLSI Circuits and Systems – Proc. SPIE Vol. 5117, page (in press), Maspalomas (Gran Canaria), Spain, May 2003.

 

[52]      Mauro Beretta and Andrea G. B. Tettamanzi. Learning fuzzy classifiers with evolutionary algorithms. In G. Pasi A. Bonarini, F. Masulli, editor, Soft Computing Applications, pages 1–10. Physica Verlag, Heidelberg, 2003.

 

[53]      Célia da Costa Pereira and Andrea G. B. Tettamanzi. A possibilistic framework for asset allocation. In G. Pasi A. Bonarini, F. Masulli, editor, Soft Computing Applications, pages 23–33. Physica Verlag, Heidelberg, 2003.

 

[54]      Piero A. Bonatti and Andrea G. B. Tettamanzi. Some complexity results on fuzzy description logics. In Vito Di Gesµu, Francesco Masulli, and Alfredo Petrosino, editors, Fuzzy logic and applications. 5th International Workshop, WILF 2003, Naples, Italy, October 9–11, 2003: revised selected papers, volume 2955 of Lecture Notes in Computer Science, Berlin, 2006. Springer.

 

[55]      Mario Giacobini, Andrea Tettamanzi, and Marco Tomassini. Modeling selection intensity for linear cellular evolutionary algorithms. In Pierre Liardet et al., editor, Artificial Evolution, Sixth International Conference, Evolution Artificielle, EA 2003, Lecture Notes in Computer Science, pages 345–356, Marseille, France, October 2003. Springer.

 

[56]      Andrea Bazzoli and Andrea Tettamanzi. A memetic algorithm for protein structure prediction in a 3D-lattice HP model. In GÄunter R. Raidl et al., editor, Applications of Evolutionary Computing: EvoWorkshops 2004, volume 3005 of LNCS, pages 1–10, Berlin, 2004. Springer.

 

[57]      Mario Giacobini, Enrique Alba, Andrea Tettamanzi, and Marco Tomassini. Modeling selection intensity for toroidal cellular evolutionary algorithms. In Kalyanmoy Deb et al., editor, GECCO 2004, volume I, pages 1138–1149, 2004.

 

[58]      Daniel Sánchez and Andrea G. B. Tettamanzi. Generalizing quantification in fuzzy description logics. In B. Reusch, editor, Computational Intelligence, Theory and Applications. Proceedings 8th Fuzzy Days in Dortmund, Advances in Soft Computing Series, pages 397–412, Berlin, 2004. Springer.

 

[59]      Andrea Tettamanzi, Luca Sammartino, Mikhail Simonov, Massimo Soroldoni, and Mauro Beretta. Learning environment for life time value calculation of customers in insurance domain. In Kalyanmoy Deb et al., editor, GECCO 2004, volume II, pages 1251–1262, 2004.

 

[60]      Antonia Azzini, Massimo Lazzaroni, and Andrea Tettamanzi. A neuro-genetic approach to neural network design. In Fabio Sartori Sara Manzoni, Matteo Palmonari, editor, AI*IA 2005 Workshops, September 20 2005.

 

[61]      Mario Giacobini, Marco Tomassini, and Andrea Tettamanzi. Takeover time curves in random and small-world structured populations. In Hans-Georg Beyer and Una-May O'Reilly, editors, GECCO 2005, pages 1333–1340, 2005.

 

[62]      A. Azzini, L. Cristaldi, M. Lazzaroni, A. Monti, F. Ponci, and A. G. B. Tettamanzi. Incipient fault diagnosis in electrical drives by tuned neural networks. In Proceedings of the IEEE Instrumentation and Measurement Technology Conference (IMTC 2006), pages 1284–1289, 24–27 April 2006.

 

[63]      Antonia Azzini and Andrea Tettamanzi. A neural evolutionary approach to financial modeling. In Mike Cattolico, editor, Genetic and Evolutionary Computation Conference, GECCO 2006, Proceedings, Seattle, Washington, USA, July 8-12, 2006, pages 1605–1612. ACM, 2006.

 

[64]      Antonia Azzini and Andrea Tettamanzi. A neural evolutionary classification method for brain-wave analysis. In Franz Rothlauf, Jürgen Branke, Stefano Cagnoni, Ernesto Costa, Carlos Cotta, Rolf Drechsler, Evelyne Lutton, Penousal Machado, Jason H. Moore, Juan Romero, George D. Smith, Giovanni Squillero, and Hideyuki Takagi, editors, Applications of Evolutionary Computing, EvoWorkshops 2006, Budapest, Hungary, April 10–12, 2006, Proceedings, volume 3907 of Lecture Notes in Computer Science, pages 500–504. Springer, 2006.

 

[65]      Célia da Costa Pereira and Andrea G. B. Tettamanzi. An evolutionary approach to ontology-based user model acquisition. In Vito Di Gesů, Francesco Masulli, and Alfredo Petrosino, editors, Fuzzy logic and applications. 5th International Workshop, WILF 2003, Naples, Italy, October 9–11, 2003: revised selected papers, volume 2955 of Lecture Notes in Computer Science, Berlin, 2006. Springer.

 

[66]      Célia da Costa Pereira and Andrea G. B. Tettamanzi. Possibilistic planning using description logics: a first step. In Andrea G. B. Tettamanzi Isabelle Bloch, Alfredo Petrosino, editor, Fuzzy Logic and applications. 6th International Workshop, WILF 2005, Crema, Italy, September 15–17 2005, Revised selected papers, volume 3849 of Lecture Notes in Computer Science, Berlin, 2006. Springer.

 

[67]      Célia da Costa Pereira and Andrea G. B. Tettamanzi. Towards a framework for goal revision. In Pierre-Yves Schobbens, Wim Vanhoof, and Gabriel Schwanen, editors, BNAIC 2006, 18th Belgium-Netherlands Conference on Artificial Intelligence, pages 99–106. University of Namur, 2006.

 

[68]      Célia da Costa Pereira, Andrea G. B. Tettamanzi, and Leila Amgoud. Goal revision for a rational agent. In Gerhard Brewka, Silvia Coradeschi, Anna Perini, and Paolo Traverso, editors, ECAI 2006, 17th European Conference on Artificial Intelligence, August 29 – September 1, 2006, Riva del Garda, Italy, pages 747–748, Amsterdam, 2006. IOS Press.

 

[69]      Daniel Sánchez and Andrea G. B. Tettamanzi. Reasoning and quantification in fuzzy description logics. In Andrea G. B. Tettamanzi Isabelle Bloch, Alfredo Petrosino, editor, Fuzzy Logic and applications. 6th International Workshop, WILF 2005, Crema, Italy, September 15–17 2005, Revised selected papers, volume 3849 of Lecture Notes in Computer Science, Berlin, 2006. Springer.

 

[70]      Hooman Tahayori, Andrea G. B. Tettamanzi, and Giovanni Degli Antoni. Approximated type-2 fuzzy set operations. In IEEE International Conference on Fuzzy Systems, pages 1910–1917, 2006.

 

[71]      Andrea G. B. Tettamanzi. A fuzzy frame-based knowledge representation formalism. In Vito Di Gesů, Francesco Masulli, and Alfredo Petrosino, editors, Fuzzy logic and applications. 5th International Workshop, WILF 2003, Naples, Italy, October 9–11, 2003: revised selected papers, volume 2955 of Lecture Notes in Computer Science, Berlin, 2006. Springer.

 

[72]      Antonia Azzini and Andrea G. B. Tettamanzi. Automated trading on financial instruments with evolved neural networks. In GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, pages 2252–2252, New York, NY, USA, 2007. ACM.

 

[73]      Andrea Bazzoli, Giorgio Colombo, and Andrea G. B. Tettamanzi. Ab initio protein structure prediction with a dipeptide-assembly evolutionary algorithm. In GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, pages 424–424, New York, NY , USA, 2007. ACM.

 

[74]      Célia da Costa Pereira and Andrea G. B. Tettamanzi. A belief-desire framework for goal revision. In Bruno Apolloni, Robert J. Howlett, and Lakhmi C. Jain, editors, Knowledge-Based Intelligent Information and Engineering Systems, 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Vietri sul Mare, Italy, September 12-14, 2007. Proceedings, Part I, volume 4692 of Lecture Notes in Computer Science, pages 164–171. Springer, 2007.

 

[75]      Célia da Costa Pereira and Andrea G. B. Tettamanzi. From fuzzy beliefs to goals. In Francesco Masulli, Sushmita Mitra, and Gabriella Pasi, editors, Applications of fuzzy sets theory. Proceedings of the 7th International workshop on fuzzy logic and applications, WILF 2007, volume 4578 of Lecture notes in artificial intelligence, pages 1–8, Berlin, 2007. Springer.

 

[76]      Célia da Costa Pereira and Andrea G. B. Tettamanzi. Goal generation with ordered beliefs. In Roberto Basili and Maria Teresa Pazienza, editors, AI*IA 2007: Artificial Intelligence and Human-Oriented Computing, 10th Congress of the Italian Association for Artificial Intelligence, Rome, Italy, September 10-13, 2007, Proceedings, volume 4733 of Lecture Notes in Computer Science, pages 133–144. Springer, 2007.

 

[77]      Mauro Dragoni and Andrea G. B. Tettamanzi. Evolutionary algorithms for reasoning in fuzzy description logics with fuzzy quantifiers. In GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, pages 1967–1974, New York, NY, USA, 2007. ACM.

 

[78]      Andrea G. B. Tettamanzi, Maria Carlesi, Lucia Pannese, and Mauro Santalmasi. Business intelligence for strategic marketing: Predictive modelling of customer behaviour using fuzzy logic and evolutionary algorithms. In Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Gianni Di Caro, Rolf Drechsler, Muddassar Farooq, Andreas Fink, Evelyne Lutton, Penousal Machado, Stefan Minner, Michael O'Neill, Juan Romero, Franz Rothlauf, Giovanni Squillero, Hideyuki Takagi, Sima Uyar, and Shengxiang Yang, editors, Applications of evolutionary computing: Evoworkshops 2007, volume 4448 of Lecture Notes in Computer Science, pages 233–240, Valencia, Spain, April 11–13 2007. Springer.

 

[79]      Antonia Azzini and Andrea G. B. Tettamanzi. Evolutionary single-position automated trading. In Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Gianni Di Caro, Rolf Drechsler, Anikó Ekárt, Anna Esparcia-Alcázar, Muddassar Farooq, Andreas Fink, Jon McCormack, Michael O'Neill, Juan Romero, Franz Rothlauf, Giovanni Squillero, Sima Uyar, and Shengxiang Yang, editors, Applications of Evolutionary Computing, EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Naples, Italy, March 26-28, 2008. Proceedings, volume 4974 of Lecture Notes in Computer Science, pages 62–72. Springer, 2008.

 

[80]      Stefano Cagnoni, Leonardo Vanneschi, Antonia Azzini, and Andrea G. B. Tettamanzi. A critical assessment of some variants of particle swarm optimization. In Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Gianni Di Caro, Rolf Drechsler, Anikó Ekárt, Anna Esparcia-Alcázar, Muddassar Farooq, Andreas Fink, Jon McCormack, Michael O'Neill, Juan Romero, Franz Rothlauf, Giovanni Squillero, Sima Uyar, and Shengxiang Yang, editors, Applications of Evolutionary Computing, EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Naples, Italy, March 26-28, 2008. Proceedings, volume 4974 of Lecture Notes in Computer Science, pages 565–574. Springer, 2008.

 

[81]      Célia da Costa Pereira and Andrea G. B. Tettamanzi. Horizontal generalization properties of fuzzy rule-based trading models. In Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Gianni Di Caro, Rolf Drechsler, Anikó Ekárt, Anna Esparcia-Alcázar, Muddassar Farooq, Andreas Fink, Jon McCormack, Michael O'Neill, Juan Romero, Franz Rothlauf, Giovanni Squillero, Sima Uyar, and Shengxiang Yang, editors, Applications of Evolutionary Computing, EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Naples, Italy, March 26-28, 2008. Proceedings, volume 4974 of Lecture Notes in Computer Science, pages 93–102. Springer, 2008.

 

[82]      Célia da Costa Pereira and Andrea G. B. Tettamanzi. Goal generation with relevant and trusted beliefs. In Lin Padgham, David C. Parkes, JÄorg P. MÜller, and Simon Parsons, editors, Proceedings of 7th International conference on autonomous agents and multiagent systems (AAMAS 2008), pages 397–404. International foundation for autonomous agents and multiagent systems, 2008.

 

[83]      Célia da Costa Pereira and Andrea Tettamanzi. Goal generation and adoption from partially trusted beliefs. In Proceedings of ECAI 2008. to appear, 2008.

 

[84]      Guido Boella, Célia da Costa Pereira, Andrea G. B. Tettamanzi, and Leendert van der Torre. Making others believe what they want. In IFIP AI 2008. to appear, 2008.

 

Unrefereed Publications

 

[85]      Andrea G. B. Tettamanzi. Equational grammars. Technical Report 85-91, Dipartimento di Scienze dell'Informazione, Universitŕ degli Studi di Milano, Milan, 1991.

 

[86]      Salvatore Arnone, Andrea Loraschi, and Andrea G. B. Tettamanzi. A genetic approach to portfolio selection. In IJCAI '93 Workshop on Artificial Economics, pages 3–16, 1993.

 

[87]      Andrea G. B. Tettamanzi. A distributed model for selection in evolutionary algorithms. Technical Report 110-94, Dipartimento di Scienze dell'Informazione, Universitŕ degli Studi di Milano, Milan, 1994.

 

[88]      Andrea Loraschi and Andrea G. B. Tettamanzi. An evolutionary algorithm for portfolio selection in a downside risk framework. Working Papers in Financial Economics, 6:8–12, June 1995.

 

[89]      Andrea G. B. Tettamanzi. Genetic programming without fitness. In J. Koza, editor, Late Breaking Papers at the Genetic Programing 1996 Conference, pages 193–195. Stanford University Press, Palo Alto, CA, 1996.

 

[90]      Guido Boella, Célia da Costa Pereira, Gabriella Pigozzi, Andrea Tettamanzi, and Leendert van der Torre. Choosing your beliefs. In Guido Boella, Leon van der Torre, and Harko Verhagen, editors, Normative Multi-agent Systems, volume 07122 of Dagstuhl Seminar Proceedings, Dagstuhl, Germany, 2007. Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany.