Prof. Dr. Susanne Biundo-Stephan (Institutsdirektorin)

Susanne Biundo received her Ph.D. (Dr. rer. nat.) from the University of Karlsruhe in 1989. She held a Senior Research Position at the Intelligent User Interfaces Lab of the German Research Center for Artificial Intelligence (DFKI) from 1989 to 1998. Since 1998, she is a Professor of Computer Science at Ulm University.

Susanne Biundo is the chair of the Transregional Collaborative Research Centre SFB/TRR 62 "Companion-Technology for Cognitive Technical Systems".

Among other professional activities, she served as the Conference- and Program Co-chair of ICAPS 2005, the "15th International Conference on Automated Planning and Scheduling", as the Conference- and Program Co-chair of the "27th German Conference on Artificial Intelligence" (KI 2004), and as the Program Chair of the "5th European Conference on Planning" (ECP-99).

Susanne Biundo was the initiator and coordinator of PLANET, the "European Network of Excellence in AI Planning", which she led from 1998 to 2003.

In 2004, she was elected ECCAI Fellow.

Kontakt

Research Interests

AI Planning, Automated Reasoning, Knowledge Modeling, Cognitive Systems

Teaching

siehe Lehrangebot im aktuellen Semester

Professional Activities

Susanne Biundo was a Founding Member of the Executive Council of ICAPS, the International Conference on Automated Planning and Scheduling (2002 -2008) and a member of the board of the German Informatics Society (GI) (2002 - 2007).

She acted as Conference- and Program Co-chair of the "15th International Conference on Automated Planning and Scheduling" (ICAPS 2005), as the Conference- and Program Co-chair of the "27th German Conference on Artificial Intelligence" (KI 2004), as Associated Program Chair of the "6th International Conference on AI Planning and Scheduling" (AIPS-02), and as the Program Chair of the "5th European Conference on Planning" (ECP-99).

She initiated and chaired the "European Network of Excellence in AI Planning" (PLANET).

Susanne Biundo was the Area Editor of "Planning and Scheduling" of the Electronic Transactions on Artificial Intelligence (ETAI) and served on the editorial and review boards of various scientific journals including Applied Intelligence, JAIR, and the Journal of Applied Logic.
Furthermore, she was a program committee member of numerous international conferences including ICAPS 2004, ICAPS 2003, ECAI 2002, ECAI 2000, KR 2000, IJCAI-99, and IJCAI-97.

Publications

Präferenzen

Zeige Schlüsselwörter Zeige Zusammenfassung

64.
pdf
Biundo, Susanne; Höller, Daniel; Bercher, Pascal
Special Issue on Companion Technologies
Künstliche Intelligenz, 30(1):5-9
2016

Marker: SFB-TRR-62,Planning

Bemerkung: Special Issue on Companion Technologies

63.
pdf
Biundo, Susanne; Höller, Daniel; Schattenberg, Bernd; Bercher, Pascal
Companion-Technology: An Overview
Künstliche Intelligenz, 30(1):11-20
2016

Marker: SFB-TRR-62,Planning

Bemerkung: Special Issue on Companion Technologies

62.
pdf
Biundo, Susanne; Wendemuth, Andreas
Companion-Technology for Cognitive Technical Systems
Künstliche Intelligenz, 30(1):71-75
2016

Marker: SFB-TRR-62

Bemerkung: Special Issue on Companion Technologies

61.
pdf
Behnke, Gregor; Höller, Daniel; Bercher, Pascal; Biundo, Susanne
Change the Plan - How hard can that be?
Proceedings of the 26th International Conference on Automated Planning and Scheduling (ICAPS 2016) , Seite 38--46.
Herausgeber: AAAI Press,
2016

Marker: SFB-TRR-62,Planning

60.
pdf
Höller, Daniel; Behnke, Gregor; Bercher, Pascal; Biundo, Susanne
Assessing the Expressivity of Planning Formalisms through the Comparison to Formal Languages
Proceedings of the 26th International Conference on Automated Planning and Scheduling (ICAPS 2016) , Seite 158--165.
Herausgeber: AAAI Press,
2016

Marker: SFB-TRR-62,Planning

59.
pdf
Alford, Ron; Behnke, Gregor; Höller, Daniel; Bercher, Pascal; Biundo, Susanne; Aha, David
Bound to Plan: Exploiting Classical Heuristics via Automatic Translations of Tail-Recursive HTN Problems
Proceedings of the 26th International Conference on Automated Planning and Scheduling (ICAPS 2016) , Seite 20--28.
Herausgeber: AAAI Press,
2016

Marker: SFB-TRR-62,Planning

58.
pdf
Bercher, Pascal; Höller, Daniel; Behnke, Gregor; Biundo, Susanne
More than a Name? On Implications of Preconditions and Effects of Compound HTN Planning Tasks
Proceedings of the 22nd European Conference on Artificial Intelligence (ECAI 2016) , Seite 225--233.
Herausgeber: IOS Press,
2016

Marker: SFB-TRR-62,Planning,AutomatedReasoning

Zusammenfassung: There are several formalizations for hierarchical planning. Many of them allow to specify preconditions and effects for compound tasks. They can be used, e.g., to assist during the modeling process by ensuring that the decomposition methods' plans ``implement'' the compound tasks' intended meaning. This is done based on so-called legality criteria that relate these preconditions and effects to the method's plans and pose further restrictions. Despite the variety of expressive hierarchical planning formalisms, most theoretical investigations are only known for standard HTN planning, where compound tasks are just names, i.e., no preconditions or effects can be specified. Thus, up to know, a direct comparison to other hierarchical planning formalisms is hardly possible and fundamental theoretical properties are yet unknown. We therefore investigate the theoretical impact of such preconditions and effects -- depending on the legality criteria known from the literature -- for two of the most basic questions to planning: plan existence and plan verification. It turns out that for all investigated legality criteria, the respective problems are as hard as in the HTN setting and therefore equally expressive.

57.
pdf
Glodek, Michael; Honold, Frank; Geier, Thomas; Krell, Gerald; Nothdurft, Florian; Reuter, Stephan; Schüssel, Felix; Hörnle, Thilo; Dietmayer, Klaus; Minker, Wolfgang; Biundo, Susanne; Weber, Michael; Palm, Günther; Schwenker, Friedhelm
Fusion paradigms in cognitive technical systems for human–computer interaction
Neurocomputing, 161(0):17 - 37
2015
ISSN: 0925-2312

Schlüsselwörter: Human–computer interaction

Marker: SFB-TRR-62

Zusammenfassung: Abstract Recent trends in human–computer interaction (HCI) show a development towards cognitive technical systems (CTS) to provide natural and efficient operating principles. To do so, a CTS has to rely on data from multiple sensors which must be processed and combined by fusion algorithms. Furthermore, additional sources of knowledge have to be integrated, to put the observations made into the correct context. Research in this field often focuses on optimizing the performance of the individual algorithms, rather than reflecting the requirements of CTS. This paper presents the information fusion principles in CTS architectures we developed for Companion Technologies. Combination of information generally goes along with the level of abstractness, time granularity and robustness, such that large CTS architectures must perform fusion gradually on different levels — starting from sensor-based recognitions to highly abstract logical inferences. In our CTS application we sectioned information fusion approaches into three categories: perception-level fusion, knowledge-based fusion and application-level fusion. For each category, we introduce examples of characteristic algorithms. In addition, we provide a detailed protocol on the implementation performed in order to study the interplay of the developed algorithms.

56.
pdf
Behnke, Gregor; Ponomaryov, Denis; Schiller, Marvin; Bercher, Pascal; Nothdurft, Florian; Glimm, Birte; Biundo, Susanne
Coherence Across Components in Cognitive Systems – One Ontology to Rule Them All
Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2015) , Seite 1442-1449.
Herausgeber: AAAI Press,
2015

Marker: SFB-TRR-62,Planning,AutomatedReasoning

Zusammenfassung: The integration of the various specialized components of cognitive systems poses a challenge, in particular for those architectures that combine planning, inference, and human-computer interaction (HCI). An approach is presented that exploits a single source of common knowledge contained in an ontology. Based upon the knowledge contained in it, specialized domain models for the cognitive systems’ components can be generated automatically. Our integration targets planning in the form of hierarchical planning, being well-suited for HCI as it mimics planning done by humans. We show how the hierarchical structures of such planning domains can be (partially) inferred from declarative background knowledge. The same ontology furnishes the structure of the interaction between the cognitive system and the user. First, explanations of plans presented to users are enhanced by ontology explanations. Second, a dialog domain is created from the ontology coherent with the planning domain. We demonstrate the application of our technique in a fitness training scenario.

55.
pdf
Behnke, Gregor; Bercher, Pascal; Biundo, Susanne; Glimm, Birte; Ponomaryov, Denis; Schiller, Marvin
Integrating Ontologies and Planning for Cognitive Systems
Proceedings of the 28th International Workshop on Description Logics (DL 2015)
Herausgeber: CEUR Workshop Proceedings,
2015

Marker: AutomatedReasoning, Planning, SFB-TRR-62

Zusammenfassung: We present an approach for integrating ontological reasoning and planning within cognitive systems. Patterns and mechanisms that suitably link planning domains and interrelated knowledge in an ontology are devised. In particular, this enables the use of (standard) ontology reasoning for extending a (hierarchical) planning domain. Furthermore, explanations of plans generated by a cognitive system benefit from additional explanations relying on background knowledge in the ontology and inference. An application of this approach in the domain of fitness training is presented.

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