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

Jahr:  
Alle :: 2001, ... , 2012, 2013, 2014, 2015
Präferenzen: 
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Referenzen
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Nothdurft, Florian, Behnke, Gregor, Bercher, Pascal, Biundo, Susanne und Minker, Wolfgang
The Interplay of User-Centered Dialog Systems and AI Planning
Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) , Seite 344--353.
Herausgeber: Association for Computational Linguistics,
September 2015

Marker: SFB-TRR-62,Planning

Zusammenfassung: Technical systems evolve from simple dedicated task solvers to cooperative and competent assistants, helping the user with increasingly complex and demanding tasks. For this, they may proactively take over some of the users responsibilities and help to find or reach a solution for the user’s task at hand, using e.g., Artificial Intelligence (AI) Planning techniques. However, this intertwining of user-centered dialog and AI planning systems, often called mixed-initiative planning (MIP), does not only facilitate more intelligent and competent systems, but does also raise new questions related to the alignment of AI and human problem solving. In this paper, we describe our approach on integrating AI Planning techniques into a dialog system, explain reasons and effects of arising problems, and provide at the same time our solutions resulting in a coherent, userfriendly and efficient mixed-initiative system. Finally, we evaluate our MIP system and provide remarks on the use of explanations in MIP-related phenomena.

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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 und 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

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.

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Behnke, Gregor, Ponomaryov, Denis, Schiller, Marvin, Bercher, Pascal, Nothdurft, Florian, Glimm, Birte und 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)
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.

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Behnke, Gregor, Bercher, Pascal, Biundo, Susanne, Glimm, Birte, Ponomaryov, Denis und 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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Geier, Thomas, Richter, Felix und Biundo, Susanne
Locally Conditioned Belief Propagation
Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence (UAI)
2015

Schlüsselwörter: probablistic inference, belief propagation, approximate inference, graphical models

Zusammenfassung: Conditioned Belief Propagation (CBP) is an algorithm for approximate inference in probabilistic graphical models. It works by conditioning on a subset of variables and solving the remainder using loopy Belief Propagation. Unfortunately, CBP's runtime scales exponentially in the number of conditioned variables. Locally Conditioned Belief Propagation (LCBP) approximates the results of CBP by treating conditions locally, and in this way avoids the exponential blow-up. We formulate LCBP as a variational optimization problem and derive a set of update equations that can be used to solve it. We show empirically that LCBP delivers results that are close to those obtained from CBP, while the computational cost scales favorably with problem size.

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Behnke, Gregor, Höller, Daniel und Biundo, Susanne
On the Complexity of HTN Plan Verification and its Implications for Plan Recognition
In Ronen Brafman, Carmel Domshlak, Patrik Haslum, Shlomo Zilberstein, Editor, Proceedings of the 25th International Conference on Automated Planning and Scheduling (ICAPS 2015) , Seite 25-33.
Herausgeber: AAAI Press,
2015

Marker: SFB-TRR-62,Planning

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Bercher, Pascal, Richter, Felix, Hörnle, Thilo, Geier, Thomas, Höller, Daniel, Behnke, Gregor, Nothdurft, Florian, Honold, Frank, Minker, Wolfgang, Weber, Michael und Biundo, Susanne
A Planning-based Assistance System for Setting Up a Home Theater
Proceedings of the 29th National Conference on Artificial Intelligence (AAAI 2015) , Seite 4264--4265.
Herausgeber: AAAI Press,
2015

Marker: SFB-TRR-62,Planning

Zusammenfassung: Modern technical devices are often too complex for many users to be able to use them to their full extent. Based on planning technology, we are able to provide advanced user assistance for operating technical devices. We present a system that assists a human user in setting up a complex home theater consisting of several HiFi devices. For a human user, the task is rather challenging due to a large number of different ports of the devices and the variety of available cables. The system supports the user by giving detailed instructions how to assemble the theater. Its performance is based on advanced user-centered planning capabilities including the generation, repair, and explanation of plans.

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