A review of: “FUZZY THEORIES ON DECISION MAKING”, by Walter J. M. Kickert. Martinus Nijhoff, Boston, 1978, VIII+ 182 pp. (Volume 3 in Book Series on Frontiers in Systems Research: Implications for the Social Sciences.)

1980 ◽  
Vol 6 (2) ◽  
pp. 109-109
Author(s):  
F. ESHRAGH
1996 ◽  
Vol 11 (3) ◽  
pp. 235-246 ◽  
Author(s):  
Richard L. Baskerville ◽  
A. Trevor Wood-Harper

This paper reviews the origins, techniques and roles associated with action research into information systems (IS). Many consider the approach to be the paragon of post-positivist research methods, yet it has a cloudy history among the social sciences. The paper summarizes the rigorous approach to action research and suggests certain domains of ideal use (such as systems development methodology). For those faced with conducting, reviewing or examining action research, the paper discusses various problems, opportunities and strategies.


Africa ◽  
1972 ◽  
Vol 42 (4) ◽  
pp. 289-304 ◽  
Author(s):  
Alvin Magid

Opening ParagraphThe notion that rural political life is essentially traditional tribal in Africa and therefore scarcely relevant to modern decision-making at higher echelons of government has had a commanding influence in African studies. Associated with this viewpoint has been a tacit division of labour in the social sciences which emphasizes the pre-eminence of anthropology in the tribal domain and the pre-occupation of political science with macropolitics especially in the urban sphere. Happily, a younger generation of political scientists has emerged in recent years to challenge an essentially artificial arrangement.


2016 ◽  
Vol 9 (2) ◽  
pp. 293-300
Author(s):  
Bodo Herzog

AbstractThis article is a review of the book ‘Brain Computation As Hierarchical Abstraction’ by Dana H. Ballard published by MIT press in 2015. The book series computational neuroscience familiarizes the reader with the computational aspects of brain functions based on neuroscientific evidence. It provides an excellent introduction of the functioning, i.e. the structure, the network and the routines of the brain in our daily life. The final chapters even discuss behavioral elements such as decision-making, emotions and consciousness. These topics are of high relevance in other sciences such as economics and philosophy. Overall, Ballard’s book stimulates a scientifically well-founded debate and, more importantly, reveals the need of an interdisciplinary dialogue towards social sciences.


Author(s):  
Marsha Rosengarten

Although the body is fundamental to observation and feeling, its experience of infection is regarded by the biomedical sciences and, for the most part, the social sciences as relatively obtuse. The body is situated as a mere object of inquiry, as if its intricate and highly complex dynamics indicate that it is no more than an imperfect animated machine and, concomitantly, infection simply a change to its normative mechanisms. In this Position Piece, I ask: what might be afforded to the problematic diagnosis of communicable infection and to global health strategies of containment if the body were appreciated as an active participant in diagnoses? To do so, I take up the ‘pluralist panpsychist’ proposition that bodies think. Counter to the view that thinking is the preserve of the human mind and that value is an ‘after’ ascribed to a given fact or situation, I experiment with the idea that the body’s sensory awareness can be thought as a creative source of immanent values. Drawing on a series of empirical examples primarily focused on the perceived novelty of COVID-19, I offer a preliminary sketch of how revaluing the body as involved in decision-making and novelty might enrich the scope of biomedical and social diagnoses.


2018 ◽  
Vol 4 (3) ◽  
pp. 13
Author(s):  
Jan-Erik Lane

Climate and earth scientists now predicting abrupt climate change never ask the social sciences whether large scale policy-making and international coordination, like the COP21 project, is all feasible. The message from policy analysis is that rational decision-making is a myth, as there is bound to be mistakes, confusion and opportunism in policy implementation. Is it better for each state to develop its own climate policy – the resilience option? However, when looking at energy planning by core states, one finds little of decarbonisation. Only Uruguay has good preparation for global warming. Abrupt climate change threatens numerous tipping points towards Hawking irreversibility. But the social sciences are skeptical about large scale policy implementation based upon comprehensively rational decision-making.


Author(s):  
Mihai Deju ◽  
Petrică Stoica

Framing accounting as a science has been carried out in close connection with the development of knowledge in this field and with the meaning given to this concept of “science”. Recognizing accounting as scientific field by specialists is due to the fact that it features a combination of accounting theory and methods for the development and application of these theories. Accounting is a scientific discipline in the social sciences because: it is a creation of the human being in response to practical needs; it reflects phenomena, activities and social facts; it addresses various groups of users (managers, bankers, shareholders, employees, tax bodies, etc.) which are an integral part of society; it offers information necessary to decision-making, most of the times with impact on the behaviour of individuals; it is influenced by the economic, social, legal and political environment, that is by social phenomena.


2022 ◽  
Author(s):  
Ofir Yakobi ◽  
Yefim Roth

The last decade was characterized by an emphasis on enhancing reproducibility and replicability in the social sciences. To contribute to these efforts within the decision-making research field, we introduce DEBM (Decision from Experience Behavior Modeling) – an open-source Python package. The main goal of DEBM is to serve as a central colloberative pool of models and methods in the decision from experience domain. Specifically, it provides a convenient “playground” for developing models or experimenting with existing ones. DEBM includes many features such as multiprocessing, parameter estimation, visualization, and more. In this paper we cover the basic functionality of DEBM by simulating behavior using an existing model and given parameters, and recovering these parameters using grid search.


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