A Simple Universal Dynamic Framework for Endogenous Preference Change

Abstract Law and economics scholarship suggests that, in appropriate cases, the law can improve people’s behavior by changing their preferences. For example, the law can curb discriminatory hiring practices by providing employers with information that might change their discriminatory preference. Supposedly, if employers no longer prefer one class of employees to another, they will simply stop discriminating, with no need for further legal intervention. The current Article aims to add some depth to this familiar analysis by introducing the insights of behavioral ethics into the law and economics literature on preference change. Behavioral ethics research shows that wrongdoing often originates from semi-deliberative or non-deliberative cognitive processes. These findings suggest that the process of preference change through the use of the law is markedly more complicated and nuanced than previously appreciated. For instance, even if an employer’s explicit discriminatory stance is changed, and the employer no longer consciously prefers one class of employees over another, discriminatory behavior might persist if it originates from semi-conscious, habitual, or non-deliberative decision-making mechanisms. Therefore, actual change in behavior might necessitate a close engagement with people’s level of moral awareness. We discuss the institutional and normative implications of these insights and evaluate their significance for the attempt to improve preferences through the different functions of the legal system.

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Expanding dynamic framework materials into COFs through HOF approach

Chem ◽

10.1016/j.chempr.2021.12.009 ◽

2021 ◽

Author(s):

Yi Xie ◽

Banglin Chen

Keyword(s):

Framework Materials ◽

Dynamic Framework

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Medication Management System Design for Isolated Patient Care

2021 Design of Medical Devices Conference ◽

10.1115/dmd2021-1036 ◽

2020 ◽

Author(s):

Samhith Kethireddy Abigail Swamidoss ◽

Bushra Alghamdi ◽

Ronald L. Hickman ◽

Shanina Knighton ◽

Miriam Pekarek ◽

...

Keyword(s):

System Design ◽

Language Processing ◽

Management System ◽

Classification Tree ◽

Medication Management ◽

Care Providers ◽

Medication Regimen ◽

Dynamic Framework ◽

Medication Schedule ◽

Number Of Patients

Abstract Independent living care for polypharmacy patients can be complicated in those situations with medications that are pro re nata (PRN, “as needed”). Such medication regimen may involve multiple dosing whereby specific drug contraindications might be easily overlooked by hospice and palliative care patients, or by those isolated and not in regular contact with care providers. The goal of this paper is to describe the development steps and current design of a system providing medication decision support for isolated patients. With an increased number of patients living alone or isolated - a situation exacerbated during the COVID19 pandemic – polypharmacy patients may be challenged when PRN (as needed) medications confound what might ordinarily be a routine medication schedule. Central to our medication management system design is the so-called “conversational agent” that when integrated with a natural language processing front- end and classification tree algorithm provide a dynamic framework for patient self-management of medications. Research on “patient need” revealed patients were more likely to embrace the system if the system were autonomous, secure, and not cloud-based.

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