Simulation within simulation for agent decision-making: Theoretical foundations from cognitive science to operational computer model

2016 ◽  
Vol 40 ◽  
pp. 46-58
Author(s):  
C. Buche ◽  
N. Le Bigot ◽  
M. Polceanu
Keyword(s):  
Decision Making ◽  
Cognitive Science ◽  
Computer Model ◽  
Theoretical Foundations ◽  
Operational Computer

FORBEEF: A forage-livestock system computer model used as a teaching aid for decision making

1987 ◽  
Vol 16 (2) ◽  
pp. 85-87
Author(s):  
W. C. Stringer ◽  
N. S. Hill ◽  
B. W. Pinkerton
Keyword(s):  
Decision Making ◽  
Computer Model ◽  
Teaching Aid ◽  
Livestock System

Working Women’s Decision-Making Power at Home: Evidence from Four North Indian Urban Clusters

Urbanisation ◽  
2021 ◽  
pp. 245574712110258
Author(s):  
Megan Maxwell ◽  
Milan Vaishnav
Keyword(s):  
Decision Making ◽  
Labour Market ◽  
Empirical Evidence ◽  
Working Women ◽  
Human Agency ◽  
Significant Heterogeneity ◽  
Household Decision ◽  
Household Decision Making ◽  
Theoretical Foundations ◽  
Shed Light

Do working women enjoy greater levels of human agency? While the theoretical foundations underlying this connection are clear, the empirical evidence is quite mixed. We leverage detailed, new data on intra-household decision-making and labour market behaviour from four north Indian urban clusters to shed light on this question. We find that women who work exercise greater say in important decisions around the home. However, this ‘work advantage’ exhibits significant heterogeneity across decision types, decision-making domains, and definitions of work.

scholarly journals Theoretical foundations of human decision-making in agent-based land use models – A review

2017 ◽  
Vol 87 ◽  
pp. 39-48 ◽  
Author(s):  
J. Groeneveld ◽  
B. Müller ◽  
C.M. Buchmann ◽  
G. Dressler ◽  
C. Guo ◽  
...  
Keyword(s):  
Decision Making ◽  
Land Use ◽  
Agent Based ◽  
Human Decision ◽  
Land Use Models ◽  
Theoretical Foundations

Scientific Intelligence, Decision Making, and Cyber-Security

2021 ◽  
pp. 1467-1489
Author(s):  
Luisa dall'Acqua
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Cognitive Science ◽  
Cyber Security ◽  
Scientific Intelligence ◽  
The Other ◽  
Intelligence Analysis ◽  
Computer Engineering ◽  
Strategic Choices ◽  
Technological Tools

Because of the huge amount of data and information in the decision-making and strategic choices processes, basing decisions on information directly collected from the sources is not conceivable. A decision-making analyst becomes a fundamental pillar in both the corporate field and the institutional world. This role is becoming increasingly complex and specialized, critical within the cycle of the intelligence analysis, for the relationships that bind it to the other stakeholders, and for the methodological and technological tools that support it. The purpose of this chapter is to explore the milestones of the intelligence analysis deriving from a close collaboration between social sciences, cognitive science, computer engineering, and ICT in order to respond to the different needs in the field of risk management, safety, investigations, and applied intelligence.

Semantics, conceptual role

2018 ◽  
Author(s):  
Ned Block
Keyword(s):  
Decision Making ◽  
Social Interaction ◽  
Cognitive Science ◽  
Functional Role ◽  
Good Health ◽  
Procedural Semantics ◽  
Functional Roles ◽  
Conceptual Role Semantics ◽  
Conceptual Role

According to conceptual role semantics (CRS), the meaning of a representation is the role of that representation in the cognitive life of the agent, for example, in perception, thought and decision-making. It is an extension of the well-known ‘use’ theory of meaning, according to which the meaning of a word is its use in communication and, more generally, in social interaction. CRS supplements external use by including the role of a symbol inside a computer or a brain. The uses appealed to are not just actual, but also counterfactual: not only what effects a thought does have, but what effects it would have had if stimuli or other states had differed. Of course, so defined, the functional role of a thought includes all sorts of causes and effects that are non-semantic, for example, perhaps happy thoughts can bolster one’s immunity, promoting good health. Conceptual roles are functional roles minus such non-semantic causes and effects. The view has arisen separately in philosophy (where it is sometimes called ‘inferential’ or ‘functional’ role semantics) and in cognitive science (where it is sometimes called ‘procedural semantics’).

scholarly journals Contesting effectuation theory: Why it does not explain new venture creation

2020 ◽  
Vol 38 (6) ◽  
pp. 515-535 ◽  
Author(s):  
John Kitching ◽  
Julia Rouse
Keyword(s):  
Decision Making ◽  
Cognitive Science ◽  
Causal Explanation ◽  
New Venture ◽  
New Venture Creation ◽  
Causal Powers ◽  
Venture Creation ◽  
Nascent Entrepreneurs ◽  
Cultural Contexts ◽  
Social Structural

We evaluate whether the theory of effectuation provides – or could provide – a powerful causal explanation of the process of new venture creation. We do this by conducting an analysis of the principal concepts introduced by effectuation theory. Effectuation theory has become a highly influential cognitive science-based approach to understanding how nascent entrepreneurs start businesses under conditions of uncertainty. But by reducing the process of venture creation to a decision-making logic, effectuation theory pays insufficient regard to the substantial, pervasive and enduring influence of social-structural and cultural contexts on venture creation. Powerful explanations should conceive of venture creation as a sociohistorical process emergent from the interaction of structural, cultural and agential causal powers and must be able to theorise, fallibly, how nascent entrepreneurs form particular firms in particular times and places. We conclude that effectuation’s contribution to entrepreneurship scholarship is more limited than its advocates claim because it can offer only an under-socialised, ahistorical account of venture creation. Failure to theorise adequately the influence of structural and cultural contexts on venture creation implicitly grants nascent entrepreneurs excessive powers of agency.

Cognitive Science of Tourism Experiences

2022 ◽  
pp. 1-21
Author(s):  
Noel Scott ◽  
Ana Claudia Campos
Keyword(s):  
Decision Making ◽  
Cognitive Psychology ◽  
Cognitive Science ◽  
Theoretical Discussion ◽  
Tourism Research ◽  
Behavioural Approach ◽  
Tourism Experience ◽  
Emotion Memory ◽  
The Way

While other disciplinary approaches such as sociology and anthropology are important, this chapter introduces a cognitivist psychology approach to experience research. Such theoretical discussion may seem of little practical use, but the chapter argues that it is fundamental to understanding how and why experiences are created. The chapter applies theory and concepts from cognitive science (cognitive psychology and neuroscience) in the study of tourism experiences. This provides a different psychological paradigm to the behavioural approach currently in use in much research. The chapter describes the scope of cognitive psychology and neuroscience, its main concepts of cognitive psychology (perception, attention, emotion, memory, consciousness, learning), and their neuronal basis (neuroscience). These concepts are then applied in three topic areas related to tourism experiences: decision making, emotion, and attention. Several applications to tourism experience research are noted. Finally, the chapter discusses the way cognitive psychology concepts can be used in tourism research.

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