Selected Publications by Achim Hoffmann

• Monographs
• Hoffmann AG, ``Paradigms of Artificial Intelligence - A Methodological and Computational Analysis, Springer-Verlag, 341 pages, 1998. '' ISBN 981-3083-97-2.
• Hoffmann AG, ``Komplexität einer künstlichen Intelligenz '', Technische Universität Berlin, PhD thesis, 178 pp., July 1993. (485k of gzipped postscript) PDF (961Kb) uncompressed PostScript 1,892k
• Hoffmann AG, ``GGADS - Ein bibliotheksunabhängiges Layoutsynthesesystem für benutzerdefinierbare Gate-Array-Master-Strukturen'', Technische Universität Berlin, PhD thesis, 135 pp., April 1992. (509k of gzipped postscript) PDF (1069Kb) uncompressed PostScript2,665k .




• Journal Papers
• Ghassan Beydoun, Achim Hoffmann, Asif Qumer Gill: Constructing enhanced default theories incrementally. Complex Intelligent Systems, February 2017, Springer-Verlag, DOI: 10.1007/s40747-017-0034-z.
• Filippo Galgani, Paul Compton, Achim G. Hoffmann: LEXA: Building knowledge bases for automatic legal citation classification. Expert Syst. Appl. 42(17-18): 6391-6407 (2015)
• Filippo Galgani, Paul Compton, Achim G. Hoffmann: Summarization based on bi-directional citation analysis. Inf. Process. Manage. 51(1): 1-24 (2015)
• Filippo Galgani, Paul Compton, Achim G. Hoffmann: HAUSS: Incrementally building a summarizer combining multiple techniques. Int. J. Hum.-Comput. Stud. 72(7): 584-605 (2014)
• Beydoun, G and Hoffmann, A `` Dynamic evaluation of the development process of knowledge based information systems'', Knowledge and Information Systems, 35(1):233-247, 2013. ISSN: 0219-1377, Doi: 10.1007/s10115-012-0491-z
• Juana Maria Ruiz-Martinez, Rafael Valencia-Garci­a, RodrigoMartinez-Bejar, Achim G. Hoffmann: BioOntoVerb: A top level ontology based framework to populate biomedical ontologies from texts'', Knowl.-Based Syst. 36: 68-80 (2012).
• Hoffmann, A``Can machines Think? An Old Question Reformulated '', Minds and Machines, pp. 203-212, vol. 20, No. 2, July 2010.
• Beydoun, G, Hoffmann, A and Hamade, RF`` Automating dimensional tolerancing using Ripple down Rules (RDR)'', Expert Systems with Applications, pp. 5101-5109, vol. 37, Issue 7, 2010.
• Hoffmann, A and Khan, AS``A New Approach for the Incremental Development of Retrieval Functions for CBR. '', Applied Artificial Intelligence, pp. 507-542, vol. 6, 2006.
• Ghassan Beydoun, Achim G. Hoffmann, Jesualdo Tomas Fernandez-Breis, Rodrigo Martinez-Bejar, Rafael Valencia-Garcia, Aybuke Aurum, `` Cooperative Modelling Evaluated.'', International Journal on Cooperative Information Systems, 14(1): 45-71 (2005)
• Khan, AS and Hoffmann A, `` Building a case-based diet recommendation system without a knowledge engineer'', Artificial Intelligence in Medicine", pp. 155-179, vol. 27, 2003.
• Chrzastowski-Wachtel P and Tyszkiewicz J and Hoffmann A and Ramer A, ``Definability of Connectives in Conditional Event Algebras of Schay-Adams-Calabrese and Goodman-Nguyen-Walker'', Information Processing Letters", pp. 155-160, vol. 79/4, July 2001.
• Beydoun G and Hoffmann AG, ``Theoretical basis for hierarchical incremental knowledge acquisition'', International Journal of Human Computer Studies, 2001, Vol. 54.
• Beydoun G and Hoffmann AG, ``Incremental Acquisition of Search Knowledge'', International Journal of Human Computer Studies, March 2000, Vol. 52, Issue 3, pp. 493-530.
• Hoffmann AG, ``On computational limitations of self-organization'', Neurocomputing, 15, pp. 69-87, 1997. Elsevier Science.
• Hoffmann AG, ``Connectionist Dynamics and the Limited Complexity of the Network Function'', Connection Science, Vol. 9, No. 2, pp. 201-215, 1997.
• Hoffmann AG, ``Auf der Suche nach den Prinzipien künstlicher Intelligenz'', Künstliche Intelligenz, Vol. 6, 35-41, 1995.
• Freivalds R and Hoffmann AG, ``An Inductive Inference Approach to Classification'', Journal of Experimental and Theoretical Artificial Intelligence, No 1, Vol 6, 1994, 63-72.
• Hoffmann AG, ``Connectionist Functionality and the Emergent Network Behavior'', Neurocomputing, No 2, Vol 2, 1991, 161-172.
• Hoffmann AG, ``Die Theorie des Lernbaren - ein Überblick'', Künstliche Intelligenz, Vol. 1, 7-11, 1991.

 
 
• Conference Papers and Book Chapters
• Hoffmann, A.G., 2015. Artificial and Natural Computation. In: James D. Wright (editor-in-chief), International Encyclopedia of the Social and Behavioral Sciences, 2nd edition, Vol 2. Oxford: Elsevier. pp. 27-31.
• Galgani, F and Compton, P and Hoffmann A, `` Citation Based Summarisation of Legal Texts. 12th Pacific Rim International Conference on Artificial Intelligence (PRICAI) 2012, pp. 40-52, Springer-Verlag.
• Galgani, F and Compton, P and Hoffmann A, `` Knowledge Acquisition for Categorization of Legal Case Reports. Knowledge Management and Acquisition for Intelligent Systems, pp. 118-132, 2012, Springer-Verlag.
• Galgani, F and Compton, P and Hoffmann A, `` Combining Different Summarization Techniques for Legal Text Workshop on Innovative Hybrid Approaches to the Processing of Textual Data (Hybrid2012), EACL 2012, April 2012
• Galgani, F and Compton, P and Hoffmann A, `` Towards Automatic Generation of Catchphrases for Legal Case Reports. Computational Linguistics and Intelligent Text Processing (CICLing) (2), pp. 414-425, 2012, Springer-Verlag.
• Galgani, F and Hoffmann A, `` LEXA: Towards Automatic Legal Citation Classification. Australasian Conference on Artificial Intelligence 2010, pp. 445-454, Springer-Verlag 2010.
• Xu, H and Hoffmann AG, `` RDRCE: Combining machine learning and knowledge acquisition'', Proceedings of the 11th International Workshop on Knowledge Management and Acquisition for Smart Systems and Services, pp. 165-179, Springer-Verlag, 2010.
• Hoffmann AG and Mahidadia, A `` Machine Learning'', In Scientific Data Mining and Knowledge Discovery: Principles and Foundations, Mohamed Gaber (ed.), Springer-Verlag, 2009.
• Pham SB and Hoffmann AG, `` Intelligent Support for Building Knowledge Bases for Natural Language Processing'', Intelligent Assistant Systems: Concepts, Techniques and Technologies, Roland Kaschek (ed.), IGI Press, 2007.
• Pham SB and Hoffmann AG, `` Efficient Knowledge Acquisition for Extracting Temporal Relations'', Proceedings of the European Conference on Artificial Intelligence 2006, pp. 521-525, IOS Press.
• Yoo, SY and Hoffmann AG, ``Clustering-Based Relevance Feedback for Web Pages'', Proceedings of the Pacific Rim Conference on Artificial Intelligence, PRICAI-06, pp. 464-473, Springer-Verlag.
• Yoo, SY and Hoffmann AG, ``Query-Topic Focused Web Pages Summarization'', Proceedings of the Pacific Rim Conference on Artificial Intelligence, PRICAI-06, pp. 533-543, Springer-Verlag.
• Wang, Yuanyong and Hoffmann AG, ``Bootstrapping Word Sense Disambiguation Using Dynamic Web Knowledge. '', Proceedings of the Pacific Rim Conference on Artificial Intelligence, PRICAI-06, pp. 1150-1154, Springer-Verlag.
• Bekmann JP and Hoffmann, AG `` Improved Knowledge Acquisition for High-Performance Heuristic Search.'', Proceedings of the International Joint Conference on Artificial Intelligence, IJCAI-05, pp. 41-46, 2005.
• Yoo, SY and Hoffmann AG, ``Knowledge-Level Management of Web Information'', Proceedings of the Asia Pacific Web Conference, APWEB 05, Springer-Verlag.
• Pham SB and Hoffmann AG, `` Incremental Knowledge Acquisition for Building Sophisticated Information Extraction Systems'', Proceedings of the Practical Aspects of Knowledge Management 2004, pp. 292-306, Springer-Verlag.
• Pham SB and Hoffmann AG, `` Extracting Positive Attributions from Scientific Papers'', Proceedings of the Discovery Science Conference 2004, pp. 169-182, Springer-Verlag.
• Bekmann JP and Hoffmann, AG `` Incremental Knowledge Acquisition for Improving Probabilistic Search Algorithms'', Engineering Knowledge in the Age of the Semantic Web: 14th International Conference, EKAW, Springer-Verlag, pp. 248-264, 2004.
• Bekmann JP and Hoffmann, AG ``HeurEAKA - A New Approach for Adapting GAs to the Problem Domain'', Proceedings of the Pacific Rim Conference on Artificial Intelligence (PRICAI), Springer-Verlag, pp. 361-372, 2004.
• Pham SB and Hoffmann AG, `` KAFTIE: A New KA Framework for Building Sophisticated Information Extraction Systems'', Engineering Knowledge in the Age of the Semantic Web: 14th International Conference, EKAW, Springer-Verlag, 2004.
• Yoo SY and Hoffmann AG, `` Discovering Conceptual Web-Knowledge in Web Documents'', Engineering Knowledge in the Age of the Semantic Web: 14th International Conference, EKAW, Springer-Verlag, 2004.
• Pham SB and Hoffmann AG, ``A New Approach for Scientific Citation Classification Using Cue Phrases'', Proceedings of the Australian Joint Conference on Artificial Intelligence 2003, Springer-Verlag.
• Hoffmann AG and Pham SB, `` Towards Topic-Based Summarization for Interactive Document Viewing'', Proceedings of the Knowledge Capture Conference 2003, pp.28--35, ACM Press.
• Lau A and Ong SS and Mahidadia A and Hoffmann A and Westbrook J and Zrimec T", ``Mining patterns of dyspepsia symptoms across time points using constraint association rules'', Proceedings of the Pacific Knowledge Discovery in Databases Conference 2003, Springer-Verlag.
• Pham SB and Hoffmann AG, ``Classifying Scientific Citations by Acquiring Knowledge on Natural Language'', Proceedings of the 7th Pacific Rim Knowledge Acquisition Workshop, 2002.
• Hoffmann AG, ``Performance Comparisons of Neural Networkand Machine Learning Techniques: A Critical Assessment of the Methodology'', In New Learning Paradigms in Soft Computing, J. Kacprzyk and L. Jain (eds.), 2001, pp. 231--250, Springer-Verlag.
• Hoffmann AG, ``Artificial and Neural Computation'', International Encyclopedia of the Social and Behavioral Sciences, P.B. Baltes and N.J. Smelser (eds.), 2001, Elsevier Science.
• Khan AS and Hoffmann AG, ``Acquiring Adaptation Knowledge for CBR with MIKAS'', Proceedings of the Australian Joint Conference on Artificial Intelligence 2001, pp. 201--212, Springer-Verlag.
• Hoffmann AG and Kwok R and Compton P, `` Simulations for Comparing Knowledge Acquisition and Machine Learning '', Proceedings of the Australian Joint Conference on Artificial Intelligence 2001, pp. 273--284, Springer-Verlag.
• Hoffmann AG and Kwok R and Compton P, `` Using subclasses to improve classification learning'', Proceedings of the European Conference on Machine Learning 2001, pp. 203--213, Springer-Verlag.
• Hoffmann AG, `` Do we need symbols for designing complex AI systems?'', Proceedings of the International Symposium on Intelligent Systems, 2000.
• Beydoun G and Kwok, R and Hoffmann AG, ``Towards order independent incremental KA'', Proceedings of the 6th Pacific Knowledge Acquisition Workshop 2000, pp. 1-17.
• Khan, AS and Hoffmann AG, `` A new Approach for the Incremental Development of Adaptation Functions for CBR'', Advances in Case-Based Reasoning, 5th European Workshop, EWCBR 2000, pp. 260-272, Springer-Verlag.
• Beydoun, G, Hoffmann, AG, Hierarchical Incremental Knowledge Acquisition, Proceedings of the 12th Workshop on Knowledge Acquisition, Modeling and Management, Banff, Canada 1999.
• Beydoun G and Hoffmann AG, ``Holism and Knowledge Acquisition'', Proceedings of the European Knowledge Acquisition Workshop 1999, Springer-Verlag.
• Beydoun, G and Hoffmann AG, ``Building Problem Solvers Based on Search Control Knowledge'', Proceedings of 11th Workshop on Knowledge Acquisition, Modeling and Management, Banff, Canada 1998.
• Beydoun G and Hoffmann AG, ``Simultaneous Modelling and Knowledge Acquisition Using NRDR'', Proceedings of the 5th Pacific Rim International Conference on Artificial Intelligence, Singapore 1998, Springer-Verlag.
• Beydoun G and Hoffmann AG, ``Building Search Heuristics at the Knowledge Level '', Proceedings of the Pacific Rim Knowledge Acquisition Workshop, Singapore 1998.
• Beydoun G and Hoffmann AG, `` NRDR for the Acquisition of Search Knowledge , Proceedings of Tenth Australian Joint Conference On Artificial Intelligence, Australia, 1997.
• Matsushima, S and Hoffmann AG, ``An Instance-Based Framework for Integrating Domain Knowledge with a Reinforcement Learner'', Proceedings of the International Conference on Neural Information Processing, New Zealand, Springer-Verlag, 1997.
• Beydoun G and Hoffmann AG, ``Acquisition of Search Knowledge'', Proceedings of the European Knowledge Acquisition Workshop, Spain, pp. 1-16, Springer-Verlag, 1997.
• Kaspar S and Hoffmann AG, ``Using knowledge acquisition to build spoken language systems'', Proceedings of the European Knowledge Acquisition Workshop, Spain, Springer-Verlag, 1997.
• Hoffmann AG and Freier B, ``On Integrating Domain Knowledge into Reinforcement Learning'', Proceedings of the International Conference on Neural Information Processing, Hong Kong, Springer-Verlag, pp. 954-959, 1996. (292kB)
• Amin A, Bemford M, Hoffmann A, and Mahidadia A, and Compton, P, ``A knowledge acquisition technique for recognizing hand-printed Chinese characters'', Proceedings of the 13th International Conference on Pattern Recognition, Vienna, Austria, 1996.
• Amin A, Bemford M, Hoffmann A, Mahidadia A, and Compton, P. ``Recognition of Hand-printed Chinese Characters using Ripple-Down Rules'', Proceedings of the 7th Intenational Workshop on Structural and Statistical Pattern Recognition, Leipzig, Germany, 1996, pp. 371-380, Springer-Verlag.
• Pendrith M, Ryan M, and Hoffmann AG, ``Reinforcement Learning for Cybernetic Control'', Proceedings of the 13th European Meeting on Cybernetics and Systems Research, Vienna, Austria, pp. 1020-1025, 1996.
• Hoffmann AG, ``A Greedy Learning Approach for Multi-Layer Perceptrons'', Proceedings of the International Symposium on Artificial Neural Networks , Tainan, Taiwan, pp. 19-25, December 1994. (359kB)
• Hoffmann AG, ``Using algorithmic information theory to cope with the dynamics of self-organization'', Proceedings of the International Symposium Information Theory and its Applications '94 Sydney, Australia, November 1994, pp. 383-388.
• Hoffmann AG, ``Exploiting Causal Domain Knowledge for Learning to Control Dynamic Systems'', Proceedings of the 11th European Conference on Artificial Intelligence Amsterdam, Netherlands, August 1994, pp. 433-437. (156kB)
• Hoffmann AG, ``The dynamic locking heuristic - a new graph partitioning algorithm'', Proceedings of the International Symposium of Circuits and Systems '94, London, UK, May 1994, 175-178. (152kB)
• Hoffmann AG, Thakar S, ``Supporting sales consultation through case-based reasoning'', Proceedings of the European Workshop on Case-Based Reasoning, Vol 1, Otzenhausen, Germany, November, 1993, 187-192.
• Hoffmann AG, ``Complexity bounds of emerging structures in self-organizing networks'', Proceedings of the International Joint Conference on Neural Networks '93, Nagoya, Japan, October, 1993, 475-478. (133kB)
• Hoffmann AG, ``A new strategy for library-independent layout design'', Proceedings of the International Symposium of Circuits and Systems '93, Chicago, USA, May 1993. (657kB)
• Hoffmann AG, ``Phenomenology, Representations and Complexity'', Proceedings of the 10th European Conference on Artificial Intelligence Vienna, Austria, August 1992, 610-614. (115kB)
• Hoffmann AG and Thakar S, ``Acquiring Knowledge by Efficient Query Learning'', Proceedings of the 12th International Joint Conference on Artificial Intelligence, Sydney, Australia, pp. 783-788, August 1991. (163kB)
• Hoffmann AG, ``On the Principles of Intelligence'', Proceedings of the World Conference on the Fundamentals of Artificial Intelligence, Paris, France, pp. 257-266, July 1991.
• Hoffmann AG, ``Asymptotic Performance of Learning Algorithms'', Proceedings of the World Conference on the Fundamentals of Artificial Intelligence, Paris, France, pp. 247-256, July 1991.
• Hoffmann AG, ``GGADS: A General Gate-Array Design System for Optimizing Gate Array Master Structures'', Proceedings of the 5th CompEuro, Bologna, Italy, pp. 680-684, May 1991, IEEE.
• Hoffmann AG, ``Towards Optimizing Global MinCut Partitioning'', Proceedings of the 2nd European Design Automation Conference, Amsterdam, Netherlands, pp. 167-171, February 1991, IEEE. (360kB)
• Hoffmann AG, ``On Computational Limitations of Neural Network Architectures'', Proceedings of the 2nd IEEE Symposium on Parallel and Distributed Processing, Dallas, Texas, USA, pp. 818-825, December 1990, IEEE.
• Hoffmann AG, ``Types of Efficient Query Learning'', Proceedings of the 14th German Workshop on Artificial Intelligence, Eringerfeld, Germany, pp. 257-266, September 1990, Springer-Verlag.
• Hoffmann AG, ``The Computational Complexity of Occam's Razor'', Proceedings of the 14th German Workshop on Artificial Intelligence, Eringerfeld, Germany, pp. 277-281, September 1990, Springer-Verlag.
• Hoffmann AG, ``General Limitations on Machine Learning'', Proceedings of the 9th European Conference on Artificial Intelligence, Stockholm, Sweden, pp. 345-347, August 1990. (258kB)