scholarly journals Decision Science for Future Earth: A Conceptual Framework

2021 ◽  
pp. 3-64
Author(s):  
Tetsukazu Yahara ◽  
Wataru Tanaka ◽  
Yukako Inoue ◽  
Jounghun Lee ◽  
Kun Qian ◽  
...  
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Conceptual Framework ◽  
Adaptive Learning ◽  
Evolutionary Biology ◽  
Cognitive Biases ◽  
Local Communities ◽  
Decision Science ◽  
Global Trends ◽  
Success Stories

AbstractThe purpose of this chapter is to review progress in our understanding of human behavior and decision-making relevant to future earth research agenda, and propose Decision Science as a hub of knowledge networks connecting disciplinary and interdisciplinary sciences with the practice of problem-solving. This review is composed of four sections. First, we describe the conceptual framework of “decision science for a sustainable society” and argue that evolutionary biology of the human nature is key to construct this framework. Second, we review how our group decision-making often fails due to various cognitive biases and argue that participatory approaches of co-design and co-production do not guarantee reasonable decision-making. Third, we review success stories of problem-solving in local communities and consider how we can connect those successes in local communities to successful national and global decision-making. Fourth, learning from both failures and successes, we argue that the adaptive learning of society is a process enabling us to transform our society toward a sustainable future. We review some positive global trends toward sustainability and consider the cognitive processes and behavioral mechanisms behind those trends that would provide clues for finding successful ways to transform our society.

scholarly journals Problem Solving and Decision Making

Psychology ◽  
2019 ◽  
Author(s):  
Emily G. Nielsen ◽  
John Paul Minda
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Cognitive Biases ◽  
Short Term Memory ◽  
Long Term Memory ◽  
Initial State ◽  
Term Memory ◽  
Goal State ◽  
Current State ◽  
Cognitive Operations

Problem solving and decision making are both examples of complex, higher-order thinking. Both involve the assessment of the environment, the involvement of working memory or short-term memory, reliance on long term memory, effects of knowledge, and the application of heuristics to complete a behavior. A problem can be defined as an impasse or gap between a current state and a desired goal state. Problem solving is the set of cognitive operations that a person engages in to change the current state, to go beyond the impasse, and achieve a desired outcome. Problem solving involves the mental representation of the problem state and the manipulation of this representation in order to move closer to the goal. Problems can vary in complexity, abstraction, and how well defined (or not) the initial state and the goal state are. Research has generally approached problem solving by examining the behaviors and cognitive processes involved, and some work has examined problem solving using computational processes as well. Decision making is the process of selecting and choosing one action or behavior out of several alternatives. Like problem solving, decision making involves the coordination of memories and executive resources. Research on decision making has paid particular attention to the cognitive biases that account for suboptimal decisions and decisions that deviate from rationality. The current bibliography first outlines some general resources on the psychology of problem solving and decision making before examining each of these topics in detail. Specifically, this review covers cognitive, neuroscientific, and computational approaches to problem solving, as well as decision making models and cognitive heuristics and biases.

scholarly journals The impact of institutions on the decision how to decide

2007 ◽  
Vol 3 (3) ◽  
pp. 323-349 ◽  
Author(s):  
CHRISTOPH ENGEL ◽  
ELKE U. WEBER
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Conceptual Framework ◽  
Decision Maker ◽  
Specific Problem ◽  
Human Mind ◽  
Decision Makers ◽  
Analysis And Design ◽  
The Impact ◽  
Do So

Abstract:Institutions influence and shape behaviour. This paper suggests one way in which they do so that has been largely overlooked in institutional analysis and design. When faced with a decision or problem, people have more than one mechanism at their disposition for addressing it. The human mind offers multiple tools, ranging from conscious deliberation to spontaneous, affective reactions. Relying on technology or experts, decision-makers can also muster additional resources. Often, the meta-choice of which decision-making or problem-solving mode is used has an impact on the output. Some normative goals are more likely met if the decision-maker uses a specific problem-solving mode. We argue that the meta-choice of which problem-solving mode to use for a given decision can be influenced by institutions. In the interest of defining access points for institutions, we develop a conceptual framework for the selection and implementation of decision-making and problem-solving modes.

Confirmation bias in decision making for fingerprints, DNA and eyewitness evidence cannot be explained by cognitive style or thinking dispositions.

2019 ◽  
Author(s):  
Daniel Edgcumbe
Keyword(s):  
Decision Making ◽  
Cognitive Style ◽  
Cognitive Biases ◽  
Confirmation Bias ◽  
Criminal Case ◽  
Court Cases ◽  
Legal Proceedings ◽  
Thinking Dispositions ◽  
Evaluation Of Evidence ◽  
Facial Composite

Pre-existing beliefs about the background or guilt of a suspect can bias the subsequent evaluation of evidence for forensic examiners and lay people alike. This biasing effect, called the confirmation bias, has influenced legal proceedings in prominent court cases such as that of Brandon Mayfield. Today many forensic providers attempt to train their examiners against these cognitive biases. Nine hundred and forty-two participants read a fictional criminal case and received either neutral, incriminating or exonerating evidence (fingerprint, eyewitness, or DNA) before providing an initial rating of guilt. Participants then viewed ambiguous evidence (alibi, facial composite, handwriting sample or informant statement) before providing a final rating of guilt. Final guilt ratings were higher for all evidence conditions (neutral, incriminating or exonerating) following exposure to the ambiguous evidence. This provides evidence that the confirmation bias influences the evaluation of evidence.

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.

Halting Forest Encroachment in Terai: What Role for Community Forestry?

2019 ◽  
Vol 16 (1) ◽  
pp. 15-34
Author(s):  
Prabin Bhusal ◽  
Naya Sharma Paudel ◽  
Anukram Adhikary ◽  
Jisan Karki ◽  
Kamal Bhandari
Keyword(s):  
Forest Management ◽  
Collective Action ◽  
Environmental History ◽  
Adaptive Learning ◽  
Sustainable Management ◽  
Community Forestry ◽  
Local Level ◽  
Secondary Data ◽  
Local Communities ◽  
Local Livelihoods

This paper highlights the lessons of using adaptive learning in community forestry that effectively help to resolve forest based conflicts in Terai region of Nepal. The paper is based on a three-year action research carried out in Terai. Qualitative methods including participatory rural appraisal tools and documentation of engaged action and reflections were used. Methods and tools that largely fall under adaptive learning were deployed. The field data was complemented by review of secondary data and literature on environmental history of Terai. We found that policies on land and forest in Terai for the last fifty years have induced and aggravated conflicts over access and control between state and communities and also within diverse groups of local communities. These conflicts have had serious negative impacts on sustainable management of forests and on local people’s livelihoods, particularly resource poor and landless people. Centralised and bureaucratic approaches to control forest and encroachment have largely failed. Despite investing millions of Rupees in maintaining law and order in forestlands, the problem continues to worsen often at the cost of forests and local communities. We found that transferring management rights to local communities like landless and land poor in the form of community forestry (CF) has induced strong local level collective action in forest management and supported local livelihoods. Moreover, adding adaptive learning, as a methodological tool to improve governance and enhance local level collective action significantly improves the benefit of CF. It implies that a major rethinking is needed in the current policies that have often led to hostile relationships with the local inhabitants- particularly the illegal settlers. Instead, transferring forest rights to local communities and supporting them through technical aspects of forest management will strengthen local initiatives towards sustainable management of forests.

scholarly journals HR Managers’ Emotions in Strategic Decision-Making Events: Evidence from Croatia

2021 ◽  
Vol 13 (2) ◽  
pp. 845
Author(s):  
Marli Gonan Božac ◽  
Katarina Kostelić
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Strategic Planning ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Personal Perspective ◽  
Human Resource Managers ◽  
Organizational Perspective ◽  
Hr Managers ◽  
Experienced Emotion

The inclusion of emotions in the strategic decision-making research is long overdue. This paper deals with the emotions that human resource managers experience when they participate in a strategic problem-solving event or a strategic planning event. We examine the patterns in the intensity of experienced emotions with regard to event appraisal (from a personal perspective and the organization’s perspective), job satisfaction, and coexistence of emotions. The results reveal that enthusiasm is the most intensely experienced emotion for positively appraised strategic decision-making events, while frustration is the most intensely experienced emotion for negatively appraised problem-solving events, as is disappointment for strategic planning. The distinction between a personal and organizational perspective of the event appraisal reveals differences in experienced emotions, and the intensity of experienced anger is the best indicator of the difference in the event appraisals from the personal and organizational perspective. Both events reveal the variety of involved emotions and the coexistence of—not just various emotions, but also emotions of different dominant valence. The findings indicate that a strategic problem-solving event triggers greater emotional turmoil than a strategic planning event. The paper also discusses theoretical and practical implications.

scholarly journals Cognitive biases, environmental, patient and personal factors associated with critical care decision making: A scoping review

2021 ◽  
Author(s):  
Iris E. Beldhuis ◽  
Ramesh S. Marapin ◽  
You Yuan Jiang ◽  
Nádia F. Simões de Souza ◽  
Artemis Georgiou ◽  
...  
Keyword(s):  
Decision Making ◽  
Critical Care ◽  
Scoping Review ◽  
Cognitive Biases ◽  
Personal Factors ◽  
Factors Associated ◽  
Care Decision
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