Analyzing the effect of cognitive map on decision makers’ semantic and syntactic comprehension, and inferential problem solving performance

2018 ◽  
Vol 18 (2) ◽  
pp. 49-69
Author(s):  
Soonjae Kwon
2005 ◽  
Vol 24 (4) ◽  
pp. 259-274
Author(s):  
Sameer Kumar ◽  
Thomas Ressler ◽  
Mark Ahrens

This article is an appeal to incorporate qualitative reasoning into quantitative topics and courses, especially those devoted to decision-making offered in colleges and universities. Students, many of whom join professional workforce, must become more systems thinkers and decision-makers than merely problem-solvers. This will entail discussion of systems thinking, not just reaching “the answer”. Managers will need to formally and forcefully discuss objectives and values at each stage of the problem-solving process – at the start, during the problem-solving stage, and at the interpretation of the results stage – in order to move from problem solving to decision-making. The authors suggest some methods for doing this, and provide examples of why doing so is so important for decision-makers in the modern world.


Author(s):  
Ibrahim Suleiman Yahaya ◽  
Maryam M.B Yusuf

This paper The search paper aimed at introducing new development in decision-making and problem-solving models which will enable the decision-makers to have more options on the way of handling any give scenarios that might occur in the process of daily life or organizational activities, this will improve fast decision by individual or organization. Decision making is an acceptable part of human daily life. People have to make different important decisions nearly every day, hence the reason that often-making decisions can be a difficult action to take. However, a significant number of observational studies have shown that most individuals are much worse in decision-making in organizations. Thus, people started paying more attention to learning how to make an acceptable decision through the related hypotheses and models that fit their scenarios. Along with the line hundred (100) sample of the design developed model with a Likert-Scale from 1-5 was attached and sent to some prominent leaders who virtually make a decision and solved problems almost every day, for their assessment’s/analysis in order to collect data to determine both input and output of the developed model which some accepted as it was designed while some make changes and other make a recommendation for future research work. The decision-making tools are needed at the critical time of Covid.


<em>Abstract</em>.—Decisions about watershed restoration projects often are complicated by competing interests and goals, gaps in scientific knowledge, and constraints on time and resources. Under these circumstances, there is no best approach to decision making and problem solving. Appropriate decision processes need not always be analytically complex, but instead depend on the characteristics of the external social context, the decision makers, and the decision problem itself. Because social concerns so often prevail in restoration decisions, we begin with a discussion of issues characterizing the social context. Next, in three increasingly broad contexts for watershed restoration, we discuss the application of several methods for facilitating decisions and solving problems involving uncertainty: Bayesian decision analysis, active adaptive management, passive adaptive management, and evolutionary problem solving.


2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Huo Chai ◽  
Ruichun He ◽  
Changxi Ma ◽  
Cunjie Dai ◽  
Kun Zhou

Mathematical models for path planning and vehicle scheduling for logistic distribution of hazardous materials in full container load (FCL) are established, with their problem-solving methods proposed. First, a two-stage multiobjective optimization algorithm is designed for path planning. In the first stage, pulse algorithm is used to obtain the Pareto paths from the distribution center to each destination. In the second stage, a multiobjective optimization method based on Nondominated Sorting Genetic Algorithm II (NSGA-II) is designed to obtain candidate transport paths. Second, with analysis on the operating process of vehicles with hazardous materials in FCL, the vehicle scheduling problem is converted to Vehicle Routing Problem with Time Windows (VRPTW). A problem-solving method based on estimation of distribution is adopted. A transport timetable for all vehicles based on their transport paths is calculated, with participation of the decision-makers. A visual vehicle scheduling plan is presented for the decision-makers. Last, two examples are used to test the method proposed in this study: distribution of hazardous materials in a small-scale test network and distribution of oil products for sixteen gas stations in the main districts of Lanzhou city. In both examples, our method is used to obtain the path selection and vehicle scheduling plan, proving that validity of our method is verified.


2019 ◽  
Author(s):  
yola febriani ◽  
Hade Afriansyah ◽  
Rusdinal

This article aims to describe how is the process of decision making. Decision making is something that is never separated from human life, both simple decision making and complex problems. Everyone is always faced with the choice to take a decision. To be able to take the right decisions, every person should know the steps. This article presents what the decision-making steps and what is the importance of creative thinking in decision making. Creative thinking will help decision makers to improve the quality and effectiveness of problem solving and decision making results were made. In relation to the process of decision making, creative thinking is needed, especially in identifying problems and develop alternative solutions. The methodology used to arrange this article is Systematic Literature Review (SLR). First, researcher find relevant theories, and then make a conclusion about it, then analyzing, and finally make a new information based researcher analyzing.


2019 ◽  
Author(s):  
yola febriani ◽  
Hade Afriansyah ◽  
Rusdinal

This article aims to describe how is the process of decision making. Decision making is something that is never separated from human life, both simple decision making and complex problems. Everyone is always faced with the choice to take a decision. To be able to take the right decision, every person should know the steps. This article presents what the decision making steps and what is the importance of creative thinking in decision making. Creative thinking will help decision makers to improve the quality and effectiveness of problem solving and decision making results were made. In relation to the process of decision making, creative thinking is needed, especially in identifying problems and develop alternative solutions. The methodology used to arrange this article is Systematic Literature Review (SLR). First, researcher find relevant theories, and then make a conclusion about it, then analyzing, and finally make a new information based researcher analyzing


2020 ◽  
Author(s):  
Maya Zhe Wang ◽  
Benjamin Y. Hayden

ABSTRACTCuriosity refers to a desire for information that is not driven by immediate strategic or instrumental concerns. Latent earning refers to a form of learning that is not directly driven by standard reinforcement learning processes. We propose that curiosity serves the purpose of motivating latent learning. Thus, while latent learning is often treated as an incidental or passive process, in practice it most often reflects a strong evolved pressure to consume large amounts of information. That large volume of information in turn allows curious decision makers to generate sophisticated representations of the structure of their environment, known as cognitive maps. Cognitive maps facilitate adaptive and flexible behavior while maintaining its adaptivity and flexibility via map updates based on new information. Here we describe data supporting the idea that orbitofrontal cortex (OFC) and dorsal anterior cingulate cortex (dACC) play complementary roles in curiosity-driven learning. Specifically, we propose that (1) OFC tracks the innate value of information and incorporates new information into a detailed cognitive map; and (2) dACC tracks the environmental demands and information availability to then use the cognitive map for guiding behavior.


1997 ◽  
Vol 61 (3) ◽  
pp. 21-37 ◽  
Author(s):  
Berend Wierenga ◽  
Gerrit H. van Bruggen

To be effective, decision aids for marketing managers should match with the thinking and reasoning processes of the marketing decision makers who use them. The authors take a cognitive approach to problem solving in marketing. They develop a classification of “marketing problem-solving modes” and distinguish four modes: optimizing, reasoning, analogizing, and creating. They also present a typology of what they call “marketing management support systems.” In an integrating framework, they then link the four marketing problem-solving modes with the most appropriate marketing management support systems. The authors conclude with a discussion of the implications of this “demand-side” approach to marketing management support systems.


Sign in / Sign up

Export Citation Format

Share Document