Multiple-Rule Hybrid Solutions to the Problems of Error and Uncertainty

Author(s):  
Holly M. Smith

Chapter 11 argues that the best Hybrid system is one in which multiple lower-tier decision-guides are arranged in a hierarchy that prioritizes, on deontic grounds, the guides that are best to use in situations where an agent can use more than one guide in deriving a prescription. The system includes a theoretical account of right and wrong (Code C) that prescribes acts as objectively obligatory, together with a general decision-guiding principle (Code C*). Code C* prescribes as subjectively obligatory the act recommended as choice-mandated by the decision-guide, usable in the core sense by the agent, that is higher in the hierarchy of choice-mandating decision-guides than any other decision-guide usable by the agent and appropriate to Code C. This decision-guide need only be usable in the core, not the extended, sense. Sample consequentialist and Rossian Hybrid systems are outlined.

Author(s):  
Wulf Loh ◽  
Janina Loh

In this chapter, we give a brief overview of the traditional notion of responsibility and introduce a concept of distributed responsibility within a responsibility network of engineers, driver, and autonomous driving system. In order to evaluate this concept, we explore the notion of man–machine hybrid systems with regard to self-driving cars and conclude that the unit comprising the car and the operator/driver consists of such a hybrid system that can assume a shared responsibility different from the responsibility of other actors in the responsibility network. Discussing certain moral dilemma situations that are structured much like trolley cases, we deduce that as long as there is something like a driver in autonomous cars as part of the hybrid system, she will have to bear the responsibility for making the morally relevant decisions that are not covered by traffic rules.


Author(s):  
Holly M. Smith

Chapter 9 turns to further epistemic barriers for decision makers: the problems of (nonmoral) ignorance and (nonmoral) uncertainty. The concepts of “ignorance” and “uncertainty” are elucidated, the problem of uncertainty is defined, and it is argued that the problem of ignorance should be treated as a special case of the problem of uncertainty. The three salient attempts to solve the problem are the Pragmatic, Austere, and Hybrid approaches. Combined solutions to the problem of error and the problem of uncertainty are explored, and it is argued that the only feasible approaches marry the Austere Response to the problem of error with the Hybrid Response to the problem of uncertainty in a two-tier system. The top-tier code provides the correct theoretical account of right and wrong, while the lower-tier rules provide associated decision-guides. Consistency requires that different normative terms be used by the top-tier rules and by the lower-tier rules.


Author(s):  
Holly M. Smith

Chapter 8 explores the Austere and Hybrid Responses to the problem of error. The two types of response are described in both ideal and non-ideal versions. Both are found wanting, but the Austere Response emerges as best. Codes endorsed by the Austere approach cannot be shown to meet the “goal-oriented” desiderata of maximizing social welfare, facilitating social cooperation and long-range planning, or guaranteeing the occurrence of the ideal pattern of actions. But Austere-endorsed codes do satisfy the conceptual desiderata for “usable” moral theories in the core (but not the extended) sense of “usability.” They are usable despite the agent’s false beliefs, and they provide agents with the opportunity to live a successful moral life according to the modest conception of this life. This chapter concludes that the only remedy for the problem of error is an Austere code containing a derivative duty for agents to gather information before acting.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Paul Kröger ◽  
Martin Fränzle

Abstract Hybrid system dynamics arises when discrete actions meet continuous behaviour due to physical processes and continuous control. A natural domain of such systems are emerging smart technologies which add elements of intelligence, co-operation, and adaptivity to physical entities. Various flavours of hybrid automata have been suggested as a means to formally analyse dynamics of such systems. In this article, we present our current work on a revised formal model that is able to represent state tracking and estimation in hybrid systems and thereby enhancing precision of verification verdicts.


2009 ◽  
Author(s):  
W. J. Sembler ◽  
S. Kumar

The reduction of shipboard airborne emissions has been receiving increased attention due to the desire to improve air quality and reduce the generation of greenhouse gases. The use of a fuel cell could represent an environmentally friendly way for a ship to generate in-port electrical power that would eliminate the need to operate diesel-driven generators or use shore power. This paper includes a brief description of the various types of fuel cells in use today, together with a review of the history of fuel cells in marine applications. In addition, the results of a feasibility study conducted to evaluate the use of a fuel-cell hybrid system to produce shipboard electrical power are presented.


2021 ◽  
pp. 1-10
Author(s):  
Zhucong Li ◽  
Zhen Gan ◽  
Baoli Zhang ◽  
Yubo Chen ◽  
Jing Wan ◽  
...  

Abstract This paper describes our approach for the Chinese Medical named entity recognition(MER) task organized by the 2020 China conference on knowledge graph and semantic computing(CCKS) competition. In this task, we need to identify the entity boundary and category labels of six entities from Chinese electronic medical record(EMR). We construct a hybrid system composed of a semi-supervised noisy label learning model based on adversarial training and a rule postprocessing module. The core idea of the hybrid system is to reduce the impact of data noise by optimizing the model results. Besides, we use post-processing rules to correct three cases of redundant labeling, missing labeling, and wrong labeling in the model prediction results. Our method proposed in this paper achieved strict criteria of 0.9156 and relax criteria of 0.9660 on the final test set, ranking first.


Author(s):  
Abdellah Benallal ◽  
◽  
Nawel Cheggaga ◽  

Renewable energy hybrid systems give a good solution in isolated sites, in the Algerian desert; wind and solar potentials are considerably perfect for a combination in a renewable energy hybrid system to satisfy local village electrical load and minimize the storage requirements, which leads to reduce the cost of the installation. For a good sizing, it is essential to know accurately the solar potential of the installation area also wind potential at the same height where wind electric generators will be placed. In this work, we optimize a completely autonomous PV-wind hybrid system and show the techno-economical effects of the height of the wind turbine on the sizing of the hybrid system. We also compare the simulation results obtained from using wind speed measured data at 10 meters and 40 meters of height with the ones obtained from using wind speed extrapolation on HOMER software.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aiping Jiang ◽  
Zhenni Huang ◽  
Jiahui Xu ◽  
Xuemin Xu

PurposeThe purpose of this paper is to propose a condition-based opportunistic maintenance policy considering economic dependence for a series–parallel hybrid system with a K-out-of-N redundant structure, where a single component in series is denoted as subsystem1, and K-out-of-N redundant structure is denoted as subsystem2.Design/methodology/approachBased on the theory of Residual Useful Life (RUL), inspection points are determined, and then different maintenance actions are adopted in the purpose of minimizing the cost rate. Both perfect and imperfect maintenance actions are carried out for subsystem1. More significantly, regarding economic dependence, condition-based opportunistic maintenance is designed for the series–parallel hybrid system: preemptive maintenance for subsystem1, and both preemptive and postponed maintenance for subsystem2.FindingsThe sensitivity analysis indicates that the proposed policy outperforms two classical maintenance policies, incurring the lowest total cost rate under the context of both heterogeneous and quasi-homogeneous K-out-of-N subsystems.Practical implicationsThis model can be applied in series–parallel systems with redundant structures that are widely used in power transmission systems in electric power plants, manufacturing systems in textile factories and sewerage systems. Considering inconvenience and high cost incurred in the inspection of hybrid systems, this model helps production managers better maintain these systems.Originality/valueIn maintenance literature, much attention has been received in repairing strategies on hybrid systems with economic dependence considering preemptive maintenance. Limited work has considered postponed maintenance. However, this paper uses both condition-based preemptive and postponed maintenance on the issue of economic dependence bringing opportunities for grouping maintenance activities for a series–parallel hybrid system.


Author(s):  
Christine Maguth Nezu ◽  
Christopher R. Martell ◽  
Arthur M. Nezu

Chapter 11 provides a focus on multicultural competencies related to the practice of cognitive and behavioural psychology consistent with the core foundational competencies in professional psychology, especially with regard to individual and cultural diversity. It provides a unique perspective for cultural competency focusing on the principle of self- awareness, as well as respect for how an individual’s past and current functioning is impacted by a wide breadth of multicultural and individual factors. It also discusses the implications for assessment, intervention, and therapeutic alliance.


2021 ◽  
pp. 153-165
Author(s):  
Toni Rønnow-Rasmussen

The main aim in ‘FA and Motivating Reasons’ is to clear the ground for the discussion in Chapter 11 by drawing attention to some notions and distinctions that help us to understand the core elements of fitting-attitude analysis (FA). In particular, the distinction between explanatory and motivating reason plays a core part in this and the next chapter. In light of this distinction, the focus is on whether we should accept either ‘the guise of the good thesis’ or the more plausible ‘guise of reason thesis’. Eventually (in Chapter 11), it is argued that we should endorse neither of these. While the previous chapters gave us a positive insight (they lead to a modification of the FA pattern of analysis), this—and the next chapter also, as we shall see—will mainly have a negative impact. It suggests we should refrain from introducing certain modifications of FA analysis that at first sight might seem compelling.


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