Adaptive Problem Solving among Business Organizations through Flexible Resource Allocation

2006 ◽  
Author(s):  
Umesh Deshpande ◽  
Arobinda Gupta ◽  
Anupam Basu
Keyword(s):  
Resource Allocation ◽  
Problem Solving ◽  
Business Organizations ◽  
Flexible Resource ◽  
Adaptive Problem

Truth Matters: Cognitive Integrity as an Intervention for Self-Deception

2017 ◽  
Author(s):  
Eugenia Isabel Gorlin ◽  
Michael W. Otto
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Autonomous Agents ◽  
Therapeutic Interventions ◽  
Empirical Validation ◽  
The Past ◽  
Adaptive Problem

To live well in the present, we take direction from the past. Yet, individuals may engage in a variety of behaviors that distort their past and current circumstances, reducing the likelihood of adaptive problem solving and decision making. In this article, we attend to self-deception as one such class of behaviors. Drawing upon research showing both the maladaptive consequences and self-perpetuating nature of self-deception, we propose that self-deception is an understudied risk and maintaining factor for psychopathology, and we introduce a “cognitive-integrity”-based approach that may hold promise for increasing the reach and effectiveness of our existing therapeutic interventions. Pending empirical validation of this theoretically-informed approach, we posit that patients may become more informed and autonomous agents in their own therapeutic growth by becoming more honest with themselves.

scholarly journals Dynamic Beam Hopping Time Slots Allocation Based on Genetic Algorithm of Satellite Communication under Time-Varying Rain Attenuation

Electronics ◽  
2021 ◽  
Vol 10 (23) ◽  
pp. 2909
Author(s):  
Chen Zhang ◽  
Jiangtao Yang ◽  
Yong Zhang ◽  
Ziwei Liu ◽  
Gengxin Zhang
Keyword(s):  
Genetic Algorithm ◽  
Resource Allocation ◽  
Satellite Communication ◽  
Rain Attenuation ◽  
Time Varying ◽  
Dynamic Allocation ◽  
Satellite Systems ◽  
Flexible Resource ◽  
Conventional Methods ◽  
High Level

Beam hopping technology is considered to provide a high level of flexible resource allocation to manage uneven traffic requests in multi-beam high throughput satellite systems. Conventional beam hopping resource allocation methods assume constant rainfall attenuation. Different from conventional methods, by employing genetic algorithm this paper studies dynamic beam hopping time slots allocation under the effect of time-varying rain attenuation. Firstly, a beam hopping system model as well as rain attenuation time series based on Dirac lognormal distribution are provided. On this basis, the dynamic allocation method by employing genetic algorithm is proposed to obtain both quantity and arrangement of time slots allocated for each beam. Simulation results show that, compared with conventional methods, the proposed algorithm can dynamically adjust time slots allocation to meet the non-uniform traffic requirements of each beam under the effect of time-varying rain attenuation and effectively improve system performance.

scholarly journals Time-Sliced Flexible Resource Allocation for Optical Low Earth Orbit Satellite Networks

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 56753-56759 ◽  
Author(s):  
Zelin Zheng ◽  
Nan Hua ◽  
Zhizhen Zhong ◽  
Jialong Li ◽  
Yanhe Li ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Low Earth Orbit ◽  
Satellite Networks ◽  
Earth Orbit ◽  
Orbit Satellite ◽  
Low Earth Orbit Satellite ◽  
Flexible Resource

scholarly journals How to get the most bang for your buck: the evolution and physiology of nutrition-dependent resource allocation strategies

2017 ◽  
Vol 284 (1857) ◽  
pp. 20170445 ◽  
Author(s):  
Enoch Ng'oma ◽  
Anna M. Perinchery ◽  
Elizabeth G. King
Keyword(s):  
Resource Allocation ◽  
Natural Populations ◽  
Analytical Models ◽  
Major Question ◽  
Proximate Mechanisms ◽  
Level Data ◽  
Flexible Resource ◽  
Empirical Tests ◽  
Underlying Mechanisms ◽  
Allocation Strategies

All organisms use resources to grow, survive and reproduce. The supply of these resources varies widely across landscapes and time, imposing ultimate constraints on the maximal trait values for allocation-related traits. In this review, we address three key questions fundamental to our understanding of the evolution of allocation strategies and their underlying mechanisms. First, we ask: how diverse are flexible resource allocation strategies among different organisms? We find there are many, varied, examples of flexible strategies that depend on nutrition. However, this diversity is often ignored in some of the best-known cases of resource allocation shifts, such as the commonly observed pattern of lifespan extension under nutrient limitation. A greater appreciation of the wide variety of flexible allocation strategies leads directly to our second major question: what conditions select for different plastic allocation strategies? Here, we highlight the need for additional models that explicitly consider the evolution of phenotypically plastic allocation strategies and empirical tests of the predictions of those models in natural populations. Finally, we consider the question: what are the underlying mechanisms determining resource allocation strategies? Although evolutionary biologists assume differential allocation of resources is a major factor limiting trait evolution, few proximate mechanisms are known that specifically support the model. We argue that an integrated framework can reconcile evolutionary models with proximate mechanisms that appear at first glance to be in conflict with these models. Overall, we encourage future studies to: (i) mimic ecological conditions in which those patterns evolve, and (ii) take advantage of the ‘omic’ opportunities to produce multi-level data and analytical models that effectively integrate across physiological and evolutionary theory.

The Institutionalization of the U.S. House of Representatives

1968 ◽  
Vol 62 (1) ◽  
pp. 144-168 ◽  
Author(s):  
Nelson W. Polsby
Keyword(s):  
Resource Allocation ◽  
Problem Solving ◽  
House Of Representatives ◽  
Political System ◽  
Political Activity ◽  
The Political ◽  
Resource Allocation Problem ◽  
Political Opposition ◽  
Long Run ◽  
The U.S

Most people who study politics are in general agreement, it seems to me, on at least two propositions. First, we agree that for a political system to be viable, for it to succeed in performing tasks of authoritative resource allocation, problem solving, conflict settlement, and so on, in behalf of a population of any substantial size, it must be institutionalized. That is to say, organizations must be created and sustained that are specialized to political activity.1 Otherwise, the political system is likely to be unstable, weak, and incapable of servicing the demands or protecting the interests of its constituent groups. Secondly, it is generally agreed that for a political system to be in some sense free and democratic, means must be found for institutionalizing representativeness with all the diversity that this implies, and for legitimizing yet at the same time containing political opposition within the system.2Our growing interest in both of these propositions, and in the problems to which they point, can begin to suggest the importance of studying one of the very few extant examples of a highly specialized political institution which over the long run has succeeded in representing a large number of diverse constituents, and in legitimizing, expressing, and containing political opposition within a complex political system—namely, the U.S. House of Representatives.The focus of my attention here will be first of all descriptive, drawing together disparate strands—some of which already exist in the literature3—in an attempt to show in what sense we may regard the House as an institutionalized organ of government. Not all the necessary work has been done on this rather difficult descriptive problem, as I shall indicate. Secondly, I shall offer a number of speculative observations about causes, consequences, and possible lessons to be draw from the institutionalization of the House.

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