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ORCIDMatthias Scheutz
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- affiliation: Tufts University, Medford, MA, USA
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2020 – today
- 2024
[j67]Shivam Goel, Panagiotis Lymperopoulos
, Ravenna Thielstrom, Evan A. Krause, Patrick Feeney, Pierrick Lorang, Sarah Schneider, Yichen Wei, Eric J. Kildebeck, Stephen A. Goss, Michael C. Hughes, Li-Ping Liu, Jivko Sinapov, Matthias Scheutz:
A neurosymbolic cognitive architecture framework for handling novelties in open worlds. Artif. Intell. 331: 104111 (2024)- [j66]Fran Soljacic, Theresa Law, Meia Chita-Tegmark, Matthias Scheutz:
Robots in healthcare as envisioned by care professionals. Intell. Serv. Robotics 17(3): 685-701 (2024) - [j65]Christopher Thierauf, Ravenna Thielstrom, Bradley Oosterveld, Will Becker, Matthias Scheutz:
"Do This Instead" - Robots That Adequately Respond to Corrected Instructions. ACM Trans. Hum. Robot Interact. 13(3): 40:1-40:23 (2024) - [j64]Matthias Scheutz, Shuchin Aeron, Ayca Aygun, J. P. de Ruiter, Sergio Fantini, Cristianne Fernandez, Zachary Haga, Thuan Nguyen, Boyang Lyu:
Estimating Systemic Cognitive States from a Mixture of Physiological and Brain Signals. Top. Cogn. Sci. 16(3): 485-526 (2024) - [c220]Shivam Goel, Yichen Wei, Panagiotis Lymperopoulos, Klára Churá, Matthias Scheutz, Jivko Sinapov:
NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds. AAMAS 2024: 688-696 - [c219]Panagiotis Lymperopoulos, Matthias Scheutz:
Oh, Now I See What You Want: Learning Agent Models with Internal States from Observations. AAMAS 2024: 1310-1318 - [c218]Christopher Thierauf, Mitchell Abrams, Matthias Scheutz:
Automating Dataset Production Using Generative Text and Image Models. LREC/COLING 2024: 1988-1995 - [c217]Pierrick Lorang, Helmut Horvath, Tobias Kietreiber, Patrik Zips, Clemens Heitzinger, Matthias Scheutz:
Adapting to the "Open World": The Utility of Hybrid Hierarchical Reinforcement Learning and Symbolic Planning. ICRA 2024: 508-514 - [c216]Matthias Scheutz, Bradley Oosterveld, John Peterson, Eric Wyss, Evan A. Krause:
A Multi-Robot Architecture Framework for Effective Robot Teammates in Mixed-Initiative Teams. TAHRI 2024: 74-82 - [c215]Theresa Law, Meia Chita-Tegmark, Matthias Scheutz:
Trust Transfer in Robots between Task Environments. TAS 2024: 14:1-14:9 - [i30]Shivam Goel, Yichen Wei, Panagiotis Lymperopoulos, Matthias Scheutz, Jivko Sinapov:
NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds. CoRR abs/2401.03546 (2024) - 2023
- [j63]Boyang Lyu, Thuan Nguyen, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron:
Barycentric-Alignment and Reconstruction Loss Minimization for Domain Generalization. IEEE Access 11: 49226-49240 (2023) - [j62]Jennifer Leaf, Julie A. Adams, Matthias Scheutz, Michael A. Goodrich:
Resilience for Goal-Based Agents: Formalism, Metrics, and Case Studies. IEEE Access 11: 121999-122015 (2023) - [j61]Thomas Arnold, Matthias Scheutz:
Understanding the spirit of a norm: Challenges for norm-learning agents. AI Mag. 44(4): 524-536 (2023) - [j60]Michael Jahn, Matthias Scheutz:
Generalizing probabilistic material implication and Bayesian conditionals. Int. J. Approx. Reason. 162: 109021 (2023) - [j59]Patrick Feeney, Sarah Schneider, Panagiotis Lymperopoulos, Liping Liu, Matthias Scheutz, Michael C. Hughes:
NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds. Trans. Mach. Learn. Res. 2023 (2023) - [c214]Gwendolyn Edgar, Matthew McWilliams, Matthias Scheutz:
Improving Human-Robot Team Performance with Proactivity and Shared Mental Models. AAMAS 2023: 2322-2324 - [c213]Tung Thai, Mudit Verma, Utkarsh Soni, Sriram Gopalakrishnan, Ming Shen, Mayank Garg, Ayush Kalani, Nakul Vaidya, Neeraj Varshney, Chitta Baral, Subbarao Kambhampati, Jivko Sinapov, Matthias Scheutz:
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments. AAMAS 2023: 2385-2387 - [c212]Michael A. Goodrich, Jennifer Leaf, Julie A. Adams, Matthias Scheutz:
The Resilience Game: A New Formalization of Resilience for Groups of Goal-Oriented Autonomous Agents. AAMAS 2023: 2792-2794 - [c211]Boyang Lyu, Thuan Nguyen, Matthias Scheutz, Prakash Ishwar, Shuchin Aeron:
A Principled Approach to Model Validation in Domain Generalization. ICASSP 2023: 1-5 - [c210]Thuan Nguyen, Matthias Scheutz, Shuchin Aeron:
On The Failure of Invariant Risk Minimization and an Effective fix via Classification Error Control. MLSP 2023: 1-6 - [c209]Sarah Schneider, Doris Antensteiner, Daniel Soukup, Matthias Scheutz:
Encoding Semantic Attributes - Towards Explainable AI in Industry. PETRA 2023: 518-527 - [c208]Michael Jahn, Matthias Scheutz:
Investigating a Generalization of Probabilistic Material Implication and Bayesian Conditionals. UAI 2023: 932-940 - [i29]Tung Thai, Ming Shen, Mayank Garg, Ayush Kalani, Nakul Vaidya, Utkarsh Soni, Mudit Verma, Sriram Gopalakrishnan, Chitta Baral, Subbarao Kambhampati, Jivko Sinapov, Matthias Scheutz:
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments. CoRR abs/2302.14208 (2023) - [i28]Boyang Lyu, Thuan Nguyen, Matthias Scheutz, Prakash Ishwar, Shuchin Aeron:
A principled approach to model validation in domain generalization. CoRR abs/2304.00629 (2023) - 2022
- [j58]Matthew Marge, Carol Y. Espy-Wilson, Nigel G. Ward, Abeer Alwan, Yoav Artzi, Mohit Bansal, Gilmer L. Blankenship, Joyce Chai, Hal Daumé III, Debadeepta Dey, Mary P. Harper, Thomas Howard, Casey Kennington, Ivana Kruijff-Korbayová, Dinesh Manocha, Cynthia Matuszek, Ross Mead, Raymond J. Mooney, Roger K. Moore, Mari Ostendorf, Heather Pon-Barry, Alexander I. Rudnicky, Matthias Scheutz, Robert St. Amant, Tong Sun, Stefanie Tellex, David R. Traum, Zhou Yu:
Spoken language interaction with robots: Recommendations for future research. Comput. Speech Lang. 71: 101255 (2022) - [j57]Matthias Scheutz, Ravenna Thielstrom, Mitchell Abrams:
Transparency through Explanations and Justifications in Human-Robot Task-Based Communications. Int. J. Hum. Comput. Interact. 38(18-20): 1739-1752 (2022) - [j56]Gordon Briggs, Tom Williams, Ryan Blake Jackson, Matthias Scheutz:
Why and How Robots Should Say 'No'. Int. J. Soc. Robotics 14(2): 323-339 (2022) - [j55]Nicholas Rabb, Theresa Law, Meia Chita-Tegmark, Matthias Scheutz:
An Attachment Framework for Human-Robot Interaction. Int. J. Soc. Robotics 14(2): 539-559 (2022) - [j54]Tyler M. Frasca, Matthias Scheutz:
A Framework for Robot Self-Assessment of Expected Task Performance. IEEE Robotics Autom. Lett. 7(4): 12523-12530 (2022) - [j53]Ayca Aygun, Thuan Nguyen, Zachary Haga, Shuchin Aeron, Matthias Scheutz:
Investigating Methods for Cognitive Workload Estimation for Assistive Robots. Sensors 22(18): 6834 (2022) - [j52]Adam Norton, Henny Admoni, Jacob W. Crandall, Tesca Fitzgerald, Alvika Gautam, Michael A. Goodrich, Amy Saretsky, Matthias Scheutz, Reid G. Simmons, Aaron Steinfeld, Holly A. Yanco:
Metrics for Robot Proficiency Self-assessment and Communication of Proficiency in Human-robot Teams. ACM Trans. Hum. Robot Interact. 11(3): 29:1-29:38 (2022) - [j51]Theresa Law, Meia Chita-Tegmark, Nicholas Rabb, Matthias Scheutz:
Examining Attachment to Robots: Benefits, Challenges, and Alternatives. ACM Trans. Hum. Robot Interact. 11(4): 36:1-36:18 (2022) - [c207]Thomas Arnold, Gordon Briggs, Matthias Scheutz:
Only Those Who Can Obey Can Disobey: The Intentional Implications of Artificial Agent Disobedience. AAMAS Workshops 2022: 130-143 - [c206]Sarah Schneider, Doris Antensteiner, Daniel Soukup, Matthias Scheutz:
Autoencoders - A Comparative Analysis in the Realm of Anomaly Detection. CVPR Workshops 2022: 1985-1991 - [c205]Gordon Briggs, Meia Chita-Tegmark, Evan A. Krause, Will Bridewell, Paul Bello, Matthias Scheutz:
A Novel Architectural Method for Producing Dynamic Gaze Behavior in Human-Robot Interactions. HRI 2022: 383-392 - [c204]Vasanth Sarathy, Matthias Scheutz:
BIPLEX: Creative Problem-Solving by Planning for Experimentation. ICCC 2022: 141-149 - [c203]Shivam Goel, Yash Shukla, Vasanth Sarathy, Matthias Scheutz, Jivko Sinapov:
RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments. ICDL 2022: 15-22 - [c202]Ayca Aygun, Boyang Lyu, Thuan Nguyen, Zachary Haga, Shuchin Aeron, Matthias Scheutz:
Cognitive Workload Assessment via Eye Gaze and EEG in an Interactive Multi-Modal Driving Task. ICMI 2022: 337-348 - [c201]Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron:
Trade-off between reconstruction loss and feature alignment for domain generalization. ICMLA 2022: 794-801 - [c200]Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron:
Conditional entropy minimization principle for learning domain invariant representation features. ICPR 2022: 3000-3006 - [c199]Matthias Scheutz, Kamal Premaratne, Lawrence S. Moss, Avery Caulfield:
Probabilistic ‘If-Then’ Rules: On Bayesian Conditionals and Probabilistic Implications. ISAIM 2022 - [c198]Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron:
Joint Covariate-Alignment and Concept-Alignment: A Framework for Domain Generalization. MLSP 2022: 1-6 - [c197]Mitchell Abrams, Matthias Scheutz:
Social Norms Guide Reference Resolution. NAACL-HLT 2022: 1-11 - [c196]Benjamin Kane, Felix Gervits, Matthias Scheutz, Matthew Marge:
A System For Robot Concept Learning Through Situated Dialogue. SIGDIAL 2022: 659-662 - [c195]Sarah Schneider, Doris Antensteiner, Daniel Soukup, Matthias Scheutz:
Analysis of the Future Potential of Autoencoders in Industrial Defect Detection. VISIGRAPP (4: VISAPP) 2022: 282-289 - [e3]Vincent Conitzer, John Tasioulas, Matthias Scheutz, Ryan Calo, Martina Mara, Annette Zimmermann:
AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19 - 21, 2021. ACM 2022, ISBN 978-1-4503-9247-1 [contents] - [i27]Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron:
Conditional entropy minimization principle for learning domain invariant representation features. CoRR abs/2201.10460 (2022) - [i26]Fran Soljacic, Meia Chita-Tegmark, Theresa Law, Matthias Scheutz:
Robots in healthcare as envisioned by care professionals. CoRR abs/2206.00776 (2022) - [i25]Patrick Feeney, Sarah Schneider, Panagiotis Lymperopoulos, Liping Liu, Matthias Scheutz, Michael C. Hughes:
NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds. CoRR abs/2206.11736 (2022) - [i24]Shivam Goel, Yash Shukla, Vasanth Sarathy, Matthias Scheutz, Jivko Sinapov:
RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments. CoRR abs/2206.12493 (2022) - [i23]Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron:
Joint covariate-alignment and concept-alignment: a framework for domain generalization. CoRR abs/2208.00898 (2022) - [i22]Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron:
Trade-off between reconstruction loss and feature alignment for domain generalization. CoRR abs/2210.15000 (2022) - 2021
- [j50]Meia Chita-Tegmark, Matthias Scheutz:
Assistive Robots for the Social Management of Health: A Framework for Robot Design and Human-Robot Interaction Research. Int. J. Soc. Robotics 13(2): 197-217 (2021) - [j49]Theresa Law, Meia Chita-Tegmark, Matthias Scheutz:
The Interplay Between Emotional Intelligence, Trust, and Gender in Human-Robot Interaction. Int. J. Soc. Robotics 13(2): 297-309 (2021) - [j48]Theresa Law, Bertram F. Malle, Matthias Scheutz:
A Touching Connection: How Observing Robotic Touch Can Affect Human Trust in a Robot. Int. J. Soc. Robotics 13(8): 2003-2019 (2021) - [j47]Thomas Arnold, Daniel Kasenberg, Matthias Scheutz:
Explaining in Time: Meeting Interactive Standards of Explanation for Robotic Systems. ACM Trans. Hum. Robot Interact. 10(3): 25:1-25:23 (2021) - [c194]Tyler M. Frasca, Bradley Oosterveld, Meia Chita-Tegmark, Matthias Scheutz:
Enabling Fast Instruction-Based Modification of Learned Robot Skills. AAAI 2021: 6075-6083 - [c193]Muhammad Faizan, Vasanth Sarathy, Gyan Tatiya, Shivam Goel, Saurav Gyawali, Mateo Guaman Castro, Jivko Sinapov, Matthias Scheutz:
A Novelty-Centric Agent Architecture for Changing Worlds. AAMAS 2021: 925-933 - [c192]Vasanth Sarathy, Daniel Kasenberg, Shivam Goel, Jivko Sinapov, Matthias Scheutz:
SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning. AAMAS 2021: 1118-1126 - [c191]Jasmine J. Falk, Yayun Zhang, Matthias Scheutz, Chen Yu:
Parents Adaptively Use Anaphora During Parent-child Social Interaction. CogSci 2021 - [c190]Takanori Komatsu, Bertram F. Malle, Matthias Scheutz:
Blaming the Reluctant Robot: Parallel Blame Judgments for Robots in Moral Dilemmas across U.S. and Japan. HRI 2021: 63-72 - [c189]Meia Chita-Tegmark, Theresa Law, Nicholas Rabb, Matthias Scheutz:
Can You Trust Your Trust Measure? HRI 2021: 92-100 - [c188]Felix Gervits, Gordon Briggs, Antonio Roque, Genki A. Kadomatsu, Dean Thurston, Matthias Scheutz, Matthew Marge:
Decision-Theoretic Question Generation for Situated Reference Resolution: An Empirical Study and Computational Model. ICMI 2021: 150-158 - [c187]Jonathan Conroy, Christopher Thierauf, Parker Rule, Evan A. Krause, Hugo A. Akitaya, Andrei Gonczi, Matias Korman, Matthias Scheutz:
Robot Development and Path Planning for Indoor Ultraviolet Light Disinfection. ICRA 2021: 7795-7801 - [c186]James Staley, Matthias Scheutz:
Evaluating Task-General Resilience Mechanisms in a Multi-robot Team Task. AIAI 2021: 155-166 - [c185]Michael A. Goodrich, Julie A. Adams, Matthias Scheutz:
Autonomy Reconsidered: Towards Developing Multi-agent Systems. IntelliSys (1) 2021: 573-592 - [c184]Felix Gervits, Antonio Roque, Gordon Briggs, Matthias Scheutz, Matthew Marge:
How Should Agents Ask Questions For Situated Learning? An Annotated Dialogue Corpus. SIGDIAL 2021: 353-359 - [i21]Jonathan Conroy, Christopher Thierauf, Parker Rule, Evan A. Krause, Hugo A. Akitaya, Andrei Gonczi, Matias Korman, Matthias Scheutz:
Robot Development and Path Planning for Indoor Ultraviolet Light Disinfection. CoRR abs/2104.02913 (2021) - [i20]Meia Chita-Tegmark, Theresa Law, Nicholas Rabb, Matthias Scheutz:
Can You Trust Your Trust Measure? CoRR abs/2104.11365 (2021) - [i19]Felix Gervits, Antonio Roque, Gordon Briggs, Matthias Scheutz, Matthew Marge:
How Should Agents Ask Questions For Situated Learning? An Annotated Dialogue Corpus. CoRR abs/2106.06504 (2021) - [i18]Nicholas Rabb, Lenore Cowen, Jan P. de Ruiter, Matthias Scheutz:
Cognitive Contagion: How to model (and potentially counter) the spread of fake news. CoRR abs/2107.02828 (2021) - [i17]Sriram Gopalakrishnan, Utkarsh Soni, Tung Thai, Panagiotis Lymperopoulos, Matthias Scheutz, Subbarao Kambhampati:
Integrating Planning, Execution and Monitoring in the presence of Open World Novelties: Case Study of an Open World Monopoly Solver. CoRR abs/2107.04303 (2021) - [i16]Boyang Lyu, Thuan Nguyen, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron:
Barycenteric distribution alignment and manifold-restricted invertibility for domain generalization. CoRR abs/2109.01902 (2021) - [i15]Felix Gervits, Gordon Briggs, Antonio Roque, Genki A. Kadomatsu, Dean Thurston, Matthias Scheutz, Matthew Marge:
Decision-Theoretic Question Generation for Situated Reference Resolution: An Empirical Study and Computational Model. CoRR abs/2110.06288 (2021) - 2020
- [j46]Thomas Arnold, Matthias Scheutz:
HRI ethics and type-token ambiguity: what kind of robotic identity is most responsible? Ethics Inf. Technol. 22(4): 357-366 (2020) - [j45]Brigitte Krenn, Sepideh Sadeghi, Friedrich Neubarth, Stephanie Gross, Martin Trapp, Matthias Scheutz:
Models of Cross-Situational and Crossmodal Word Learning in Task-Oriented Scenarios. IEEE Trans. Cogn. Dev. Syst. 12(3): 658-668 (2020) - [j44]Jason R. Wilson, Linda Tickle-Degnen, Matthias Scheutz:
Challenges in Designing a Fully Autonomous Socially Assistive Robot for People with Parkinson's Disease. ACM Trans. Hum. Robot Interact. 9(3): 20:1-20:31 (2020) - [c183]Daniel Kasenberg, Ravenna Thielstrom, Matthias Scheutz:
Generating Explanations for Temporal Logic Planner Decisions. ICAPS 2020: 449-458 - [c182]Felix Gervits, Dean Thurston, Ravenna Thielstrom, Terry Fong, Quinn Pham, Matthias Scheutz:
Toward Genuine Robot Teammates: Improving Human-Robot Team Performance Using Robot Shared Mental Models. AAMAS 2020: 429-437 - [c181]Vasanth Sarathy, Alexander Tsuetaki, Antonio Roque, Matthias Scheutz:
Reasoning Requirements for Indirect Speech Act Interpretation. COLING 2020: 4937-4948 - [c180]Tyler M. Frasca, Zhao Han, Jordan Allspaw, Holly A. Yanco, Matthias Scheutz:
Going Cognitive: A Demonstration of the Utility of Task-General Cognitive Architectures for Adaptive Robotic Task Performance. IROS 2020: 8110-8116 - [c179]David Buckingham, Daniel Kasenberg, Matthias Scheutz:
Simultaneous Representation of Knowledge and Belief for Epistemic Planning with Belief Revision. KR 2020: 172-181 - [c178]Antonio Roque, Alexander Tsuetaki, Vasanth Sarathy, Matthias Scheutz:
Developing a Corpus of Indirect Speech Act Schemas. LREC 2020: 220-228 - [c177]Ravenna Thielstrom, Antonio Roque, Meia Chita-Tegmark, Matthias Scheutz:
Generating Explanations of Action Failures in a Cognitive Robotic Architecture. NL4XAI@INGL 2020: 67-72 - [c176]Andrew Valenti, Avram Block, Meia Chita-Tegmark, Michael Gold, Matthias Scheutz:
Emotion expression in a socially assistive robot for persons with Parkinson's disease. PETRA 2020: 7:1-7:10 - [c175]Felix Gervits, Ravenna Thielstrom, Antonio Roque, Matthias Scheutz:
It's About Time: Turn-Entry Timing For Situated Human-Robot Dialogue. SIGdial 2020: 86-96 - [c174]David Buckingham, Meia Chita-Tegmark, Matthias Scheutz:
Robot Planning with Mental Models of Co-present Humans. ICSR 2020: 566-577 - [i14]Meia Chita-Tegmark, Matthias Scheutz:
Assistive robots for the social management of health: a framework for robot design and human-robot interaction research. CoRR abs/2002.03062 (2020) - [i13]Tyler M. Frasca, Evan A. Krause, Ravenna Thielstrom, Matthias Scheutz:
"Can you do this?" Self-Assessment Dialogues with Autonomous Robots Before, During, and After a Mission. CoRR abs/2005.01544 (2020) - [i12]Vasanth Sarathy, Daniel Kasenberg, Shivam Goel, Jivko Sinapov, Matthias Scheutz:
SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning. CoRR abs/2012.13037 (2020) - [i11]Laurence Devillers, Tatsuya Kawahara, Roger K. Moore, Matthias Scheutz:
Spoken Language Interaction with Virtual Agents and Robots (SLIVAR): Towards Effective and Ethical Interaction (Dagstuhl Seminar 20021). Dagstuhl Reports 10(1): 1-51 (2020)
2010 – 2019
- 2019
- [j43]Tom Williams, Fereshta Yazdani, Prasanth Suresh, Matthias Scheutz, Michael Beetz:
Dempster-Shafer theoretic resolution of referential ambiguity. Auton. Robots 43(2): 389-414 (2019) - [j42]Vasanth Sarathy, Thomas Arnold, Matthias Scheutz:
When Exceptions Are the Norm: Exploring the Role of Consent in HRI. ACM Trans. Hum. Robot Interact. 8(3): 14:1-14:21 (2019) - [c173]Vasanth Sarathy, Matthias Scheutz:
On Resolving Ambiguous Anaphoric Expressions in Imperative Discourse. AAAI 2019: 6957-6964 - [c172]Bertram F. Malle, Paul Bello, Matthias Scheutz:
Requirements for an Artificial Agent with Norm Competence. AIES 2019: 21-27 - [c171]Meia Chita-Tegmark, Monika Lohani, Matthias Scheutz:
Gender Effects in Perceptions of Robots and Humans with Varying Emotional Intelligence. HRI 2019: 230-238 - [c170]Sepideh Sadeghi, Bradley Oosterveld, Evan A. Krause, Matthias Scheutz:
Acquisition of Word-Object Associations from Human-Robot and Human-Human Dialogues. ICRA 2019: 7997-8003 - [c169]Daniel Kasenberg, Antonio Roque, Ravenna Thielstrom, Meia Chita-Tegmark, Matthias Scheutz:
Generating justifications for norm-related agent decisions. INLG 2019: 484-493 - [c168]Andrew Valenti, Meia Chita-Tegmark, Michael Gold, Theresa Law, Matthias Scheutz:
In Their Own Words: A Companion Robot for Detecting the Emotional State of Persons with Parkinson's Disease. ICSR 2019: 443-452 - [i10]Vasanth Sarathy, Thomas Arnold, Matthias Scheutz:
When Exceptions are the Norm: Exploring the Role of Consent in HRI. CoRR abs/1902.01320 (2019) - [i9]Daniel Kasenberg, Antonio Roque, Ravenna Thielstrom, Meia Chita-Tegmark, Matthias Scheutz:
Generating Justifications for Norm-Related Agent Decisions. CoRR abs/1911.00226 (2019) - [i8]Daniel Kasenberg, Antonio Roque, Ravenna Thielstrom, Matthias Scheutz:
Engaging in Dialogue about an Agent's Norms and Behaviors. CoRR abs/1911.00229 (2019) - 2018
- [j41]Giordano B. Ferreira, Matthias Scheutz:
Accidental encounters: can accidents be adaptive? Adapt. Behav. 26(6) (2018) - [j40]Thomas Arnold, Matthias Scheutz:
The "big red button" is too late: an alternative model for the ethical evaluation of AI systems. Ethics Inf. Technol. 20(1): 59-69 (2018) - [j39]Rafael C. Nunez, Manohar N. Murthi, Kamal Premaratne, Matthias Scheutz, Otávio A. S. Bueno:
Uncertain Logic Processing: logic-based inference and reasoning using Dempster-Shafer models. Int. J. Approx. Reason. 95: 1-21 (2018) - [j38]Jason R. Wilson, Nah Young Lee, Annie Saechao, Linda Tickle-Degnen, Matthias Scheutz:
Supporting Human Autonomy in a Robot-Assisted Medication Sorting Task. Int. J. Soc. Robotics 10(5): 621-641 (2018) - [j37]Vasanth Sarathy, Matthias Scheutz:
A Logic-Based Computational Framework for Inferring Cognitive Affordances. IEEE Trans. Cogn. Dev. Syst. 10(1): 26-43 (2018) - [c167]Daniel Kasenberg, Matthias Scheutz:
Norm Conflict Resolution in Stochastic Domains. AAAI 2018: 85-92 - [c166]Sepideh Sadeghi, Matthias Scheutz:
Early Syntactic Bootstrapping in an Incremental Memory-Limited Word Learner. AAAI 2018: 4905-4912 - [c165]Daniel Kasenberg, Matthias Scheutz:
Inverse Norm Conflict Resolution. AIES 2018: 178-183 - [c164]