A Computational Framework for Integrating Task Planning and Norm Aware Reasoning for Social Robots

Author(s):  
Vigneshram Krishnamoorthy ◽  
Wenhao Luo ◽  
Michael Lewis ◽  
Katia Sycara
2020 ◽  
Author(s):  
Chiara de Jong ◽  
Rinaldo Kühne ◽  
Jochen Peter ◽  
Caroline L. van Straten ◽  
Alex Barco
Keyword(s):  

Author(s):  
Alistair M. C. Isaac ◽  
Will Bridewell

It is easy to see that social robots will need the ability to detect and evaluate deceptive speech; otherwise they will be vulnerable to manipulation by malevolent humans. More surprisingly, we argue that effective social robots must also be able to produce deceptive speech. Many forms of technically deceptive speech perform a positive pro-social function, and the social integration of artificial agents will be possible only if they participate in this market of constructive deceit. We demonstrate that a crucial condition for detecting and producing deceptive speech is possession of a theory of mind. Furthermore, strategic reasoning about deception requires identifying a type of goal distinguished by its priority over the norms of conversation, which we call an ulterior motive. We argue that this goal is the appropriate target for ethical evaluation, not the veridicality of speech per se. Consequently, deception-capable robots are compatible with the most prominent programs to ensure that robots behave ethically.


2019 ◽  
Vol 166 (6) ◽  
pp. A1160-A1169 ◽  
Author(s):  
Chunhao Yuan ◽  
Xiang Gao ◽  
Hin Kwan Wong ◽  
Bill Feng ◽  
Jun Xu

2004 ◽  
Vol 19 (2) ◽  
pp. 93-132 ◽  
Author(s):  
HIDDE DE JONG

Methods for qualitative simulation allow predictions on the dynamics of a system to be made in the absence of quantitative information, by inferring the range of possible qualitative behaviors compatible with the structure of the system. This article reviews QSIM and other qualitative simulation methods. It discusses two problems that have seriously compromised the application of these methods to realistic problems in science and engineering: the occurrence of spurious behavior predictions and the combinatorial explosion of the number of behavior predictions. In response to these problems, related approaches for the qualitative analysis of dynamic systems have emerged: qualitative phase-space analysis and semi-quantitative simulation. The article argues for a synthesis of these approaches in order to obtain a computational framework for the qualitative analysis of dynamic systems. This should provide a solid basis for further upscaling and for the development of model-based reasoning applications of a wider scope.


Author(s):  
Anouk van Maris ◽  
Alexander Sutherland ◽  
Alexandre Mazel ◽  
Sanja Dogramadzi ◽  
Nancy Zook ◽  
...  
Keyword(s):  

2021 ◽  
Vol 379 ◽  
pp. 113738
Author(s):  
Andrei G. Shvarts ◽  
Julien Vignollet ◽  
Vladislav A. Yastrebov

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