scholarly journals Getting it Right the First Time: Predicted Performance Guarantees from the Analysis of Emergent Behavior in Autonomous and Semi-autonomous Systems

Author(s):  
Ronald C. Arkin ◽  
Damian Lyons ◽  
Shu Jiang ◽  
Prem Nirmal ◽  
Munzir Zafar
2020 ◽  
Vol 30 (02) ◽  
pp. 2050026 ◽  
Author(s):  
Zahra Faghani ◽  
Fahimeh Nazarimehr ◽  
Sajad Jafari ◽  
Julien C. Sprott

In this paper, some new three-dimensional chaotic systems are proposed. The special property of these autonomous systems is their identical eigenvalues. The systems are designed based on the general form of quadratic jerk systems with 10 terms, and some systems with stable equilibria. Using a systematic computer search, 12 simple chaotic systems with identical eigenvalues were found. We believe that systems with identical eigenvalues are described here for the first time. These simple systems are listed in this paper, and their dynamical properties are investigated.


2020 ◽  
Author(s):  
Julian De Freitas ◽  
Bryant Walker Smith ◽  
Andrea Censi ◽  
Luigi Di Lillo ◽  
Sam E. Anthony ◽  
...  

For the first time in history, automated vehicles (AVs) are being deployed in populated environments. This unprecedented transformation of our everyday lives demands a significant undertaking: endowing complex autonomous systems with ethically acceptable behavior. We outline how one prominent, ethically-relevant component of AVs—driving behavior—is inextricably linked to stakeholders in the technical, regulatory, and social spheres of the field. Whereas humans are presumed (rightly or wrongly) to have the ‘common sense’ to behave ethically in new driving situations beyond a standard driving test, AVs do not (and probably should not) enjoy this presumption. We examine, at a high level, how to test the common sense of an AV. We start by reviewing discussions of ‘driverless dilemmas’, adaptions of the traditional ‘trolley dilemmas’ of philosophy that have sparked discussion on AV ethics but have limited use to the technical and legal spheres. Then, we explain how to substantially change the premises and features of these dilemmas (while preserving their behavioral diagnostic spirit) in order to lay the foundations for a more practical and relevant framework that tests driving common sense as an integral part of road rules testing.


2018 ◽  
Vol 2018 ◽  
pp. 1-14
Author(s):  
Qiang Liu ◽  
Ming He ◽  
Daqin Xu ◽  
Ning Ding ◽  
Yong Wang

Similar to social animals in nature, UAV swarm is also a complex system that can produce emergent behavior. The emergent behavior of UAV swarm in specific airspace is undoubtedly the act that the defense side does not expect to see; therefore, recognition and suppression of the emergent behavior of UAVs swarm are needed. Based on the analysis of the UAV swarm emergent behavior mechanism, by adoptingf-divergence method, UAV swarm emergent behavior was quantified, and a rapid recognition mechanism of emergent behavior has been established, thus, making preparation for the suppression of the emergent behavior. In the academic circle, for the first time, in accordance with heuristic rules governing the algorithms of UAV swarm suppression, principle of emergent behavior suppression has been proposed, failure judgment model of UAV swarm control under interference conditions has been constructed, the stability of UAV swarm has been analyzed, and the combat command process of UAV swarm based on OODA loop has been put forward. Through the simulation, the comparison of information entropy andf-divergence based emergence measurement method has been made, andf-divergence based method has some advantages for measuring the emergence of UAV swarm. From the analysis and discussion of the inhibitory effect on swarm flocking behavior under different interference intensity and timing, conclusion has been drawn that comprehensive suppression on the premise of correct recognition of flocking behavior is the best strategy fighting against UAV swarm emergent behavior.


2014 ◽  
Vol 2 (2) ◽  
pp. 107-120 ◽  
Author(s):  
Pouria Sarhadi ◽  
Abolfazl Ranjbar Noei ◽  
Alireza Khosravi

Purpose – The purpose of this paper is to show the application of an L1 adaptive controller to control an autonomous underwater vehicle (AUV), considering realistic perturbations. Design/methodology/approach – In this paper, an L1 adaptive controller is proposed to control the pitch channel of an AUV, for the first time. Based on a six degree of freedom (6-DOF) nonlinear equations, an appropriate linear model considering real perturbations is derived for the pitch channel of AUV. Then L1 adaptive controller is applied on the model in the presence of the bounded disturbances and uncertainties. For this purpose, verified parameters of the REMUS AUV have been considered. Several simulations are performed in different operating conditions. Findings – The results confirm the quality of the proposed method in various situations. Furthermore, it is shown that the L1 adaptive controller is potential to contribute in practical applications of AUVs such as other autonomous systems. Originality/value – This is the first time that this method has been applied to an AUV.


Leonardo ◽  
2003 ◽  
Vol 36 (2) ◽  
pp. 109-114 ◽  
Author(s):  
Jon Bird ◽  
Paul Layzell ◽  
Andy Webster ◽  
Phil Husbands

The authors outline one path towards constructing interactive artworks with the potential for displaying novel behavior. They use Peter Cariani's taxonomy of adaptive robotic systems as a framework for comparing the capabilities of systems that interact with their environments. The authors then describe two examples of structurally autonomous systems that are able to construct their own sensors independently of a human designer. The first device, the evolved radio, is the result of a recent hardware evolution (HE) experiment conducted by the authors. The second device, the electrochemical ear, was constructed almost 50 years ago by the British cybernetician Gordon Pask. The emergent behavior in both systems is only possible because many conventional engineering constraints were relaxed during their construction. Using existing technology, artists have the opportunity to explore the potential of structurally autonomous systems as interactive artworks.


Author(s):  
G. D.M. Serugendo

This chapter presents the notion of autonomous engineered systems working without central control through self-organization and emergent behavior. It argues that future large-scale applications from domains as diverse as networking systems, manufacturing control, or e-government services will benefit from being based on such systems. The goal of this chapter is to highlight engineering issues related to such systems, and to discuss some potential applications.


2021 ◽  
Vol 118 (11) ◽  
pp. e2010202118
Author(s):  
Julian De Freitas ◽  
Andrea Censi ◽  
Bryant Walker Smith ◽  
Luigi Di Lillo ◽  
Sam E. Anthony ◽  
...  

For the first time in history, automated vehicles (AVs) are being deployed in populated environments. This unprecedented transformation of our everyday lives demands a significant undertaking: endowing complex autonomous systems with ethically acceptable behavior. We outline how one prominent, ethically relevant component of AVs—driving behavior—is inextricably linked to stakeholders in the technical, regulatory, and social spheres of the field. Whereas humans are presumed (rightly or wrongly) to have the “common sense” to behave ethically in new driving situations beyond a standard driving test, AVs do not (and probably should not) enjoy this presumption. We examine, at a high level, how to test the common sense of an AV. We start by reviewing discussions of “driverless dilemmas,” adaptions of the traditional “trolley dilemmas” of philosophy that have sparked discussion on AV ethics but have limited use to the technical and legal spheres. Then, we explain how to substantially change the premises and features of these dilemmas (while preserving their behavioral diagnostic spirit) in order to lay the foundations for a more practical and relevant framework that tests driving common sense as an integral part of road rules testing.


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