Evolving Connectionist and Fuzzy-Connectionist Systems for On-line Adaptive Decision Making and Control

1999 ◽  
pp. 20-29 ◽  
Author(s):  
Nikola Kasabov
Keyword(s):  
Decision Making ◽  
On Line ◽  
And Control ◽  
Adaptive Decision Making

Linking decision-making research and cancer prevention and control: Important themes.

2005 ◽  
Vol 24 (4, Suppl) ◽  
pp. S106-S110 ◽  
Author(s):  
Kevin D. McCaul ◽  
Ellen Peters ◽  
Wendy Nelson ◽  
Michael Stefanek
Keyword(s):  
Decision Making ◽  
Cancer Prevention ◽  
Prevention And Control ◽  
Cancer Prevention And Control ◽  
And Control

Adaptive Signal Analysis and Interpretation for Real-time Intelligent Patient Monitoring

1994 ◽  
Vol 33 (01) ◽  
pp. 60-63 ◽  
Author(s):  
E. J. Manders ◽  
D. P. Lindstrom ◽  
B. M. Dawant
Keyword(s):  
Computer Architecture ◽  
Real Time ◽  
Data Abstraction ◽  
Monitoring Strategy ◽  
Intelligent Monitoring ◽  
Patient Status ◽  
On Line ◽  
Main Components ◽  
And Control ◽  
Adaptive Signal

Abstract:On-line intelligent monitoring, diagnosis, and control of dynamic systems such as patients in intensive care units necessitates the context-dependent acquisition, processing, analysis, and interpretation of large amounts of possibly noisy and incomplete data. The dynamic nature of the process also requires a continuous evaluation and adaptation of the monitoring strategy to respond to changes both in the monitored patient and in the monitoring equipment. Moreover, real-time constraints may imply data losses, the importance of which has to be minimized. This paper presents a computer architecture designed to accomplish these tasks. Its main components are a model and a data abstraction module. The model provides the system with a monitoring context related to the patient status. The data abstraction module relies on that information to adapt the monitoring strategy and provide the model with the necessary information. This paper focuses on the data abstraction module and its interaction with the model.

Scham und Autonomie

2012 ◽  
Vol 2012 (1) ◽  
pp. 163-192
Author(s):  
Sonja Rinofner-Kreidl
Keyword(s):  
Decision Making ◽  
Social Dynamics ◽  
Self Esteem ◽  
Self Determination ◽  
Intentional Content ◽  
Conceptual Clarification ◽  
The Social ◽  
Conventional Behavior ◽  
And Control

Autonomy is associated with intellectual self-preservation and self-determination. Shame, on the contrary, bears a loss of approval, self-esteem and control. Being afflicted with shame, we suffer from social dependencies that by no means have been freely chosen. Moreover, undergoing various experiences of shame, our power of reflection turns out to be severly limited owing to emotional embarrassment. In both ways, shame seems to be bound to heteronomy. This situation strongly calls for conceptual clarification. For this purpose, we introduce a threestage model of self-determination which comprises i) autonomy as capability of decision-making relating to given sets of choices, ii) self-commitment in terms of setting and harmonizing goals, and iii) self-realization in compliance with some range of persistently approved goals. Accordingly, the presuppositions and distinctive marks of shame-experiences are made explicit. Within this framework, we explore the intricate relation between autonomy and shame by focusing on two questions: on what conditions could conventional behavior be considered as self-determined? How should one characterize the varying roles of actors that are involved in typical cases of shame-experiences? In this connection, we advance the thesis that the social dynamics of shame turns into ambiguous positions relating to motivation, intentional content,and actors’ roles.

Training Situation Awareness and Adaptive Decision-Making Skills Using a Desktop Computer Simulation

2009 ◽  
Author(s):  
Robert J. Pleban ◽  
Jennifer S. Tucker ◽  
Vanessa Johnson Katie /Gunther ◽  
Thomas R. Graves
Keyword(s):  
Decision Making ◽  
Computer Simulation ◽  
Situation Awareness ◽  
Desktop Computer ◽  
Adaptive Decision Making

U.S. Regulatory Approaches: A Critical Appraisal

1992 ◽  
Vol 25 (3) ◽  
pp. 13-21
Author(s):  
R. L. Williamson
Keyword(s):  
Decision Making ◽  
Command And Control ◽  
Regulatory System ◽  
Federal Agencies ◽  
Toxic Substances ◽  
Use Of Technology ◽  
Treatment Technologies ◽  
New Treatment ◽  
And Control ◽  
The Impact

The American approach to environmental regulation is characterized by fragmentation of responsibilities, primary reliance on command and control regulations, extraordinary complexity, a preference for identifiable standards, and heavy resort to litigation. This system has provided important benefits, including significant reduction of environmental contamination, substantial use of science in decision-making, broad participatory rights, and the stimulation of new treatment technologies. However, these gains have been achieved at excessive cost. Too much reliance is placed on command and control methods and especially on technology-based standards. There is too much resort to litigation, and inadequate input from science. Participatory rights are being undermined, and there is a poor allocation of decision-making among the federal agencies and the states. Over-regulation sometimes leads to under-regulation, and insufficient attention is given to the impact on small entities. The responsibility for these difficulties rests with everyone, including the federal agencies, the Congress, the general public and the courts. Changes in the regulatory system are needed. We should abandon the use of technology-based standards to control toxic substances under the Clean Water Act in favor of strong health- and environmentally based standards, coupled with taxes on toxic substances in wastewater.

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