scholarly journals Learning in an Interactive Simulation Tool against Landslide Risks: The Role of Amount and Availability of Experiential Feedback

2017 ◽  
Author(s):  
Pratik Chaturvedi ◽  
Akshit Arora ◽  
Varun Dutt
Keyword(s):  
Decision Making ◽  
Risk Communication ◽  
Present Condition ◽  
Landslide Risk ◽  
Interactive Simulation ◽  
Simulation Tool ◽  
Simulation Tools

Abstract. To investigate how differing amounts of experiential feedback and feedback’s availability in an interactive simulation tool influences people’s decision-making against landslide risks. Feedback via simulation tools is likely to help people improve their decisions against disasters; however, currently little is known on how differing amounts of experiential feedback and feedback’s availability in simulation tools influences people’s decisions against landslides. We tested the influence of differing amounts of experiential feedback and feedback’s availability on people’s decisions against landslide risks in an Interactive Landslide Simulation (ILS) tool. In an experiment, in high-damage conditions, the probabilities of damages to life and property due to landslides were 10-times higher than those in the low-damage conditions. In feedback-present condition, experiential feedback was provided in numeric, text, and graphical formats in ILS. In feedback-absent conditions, the probabilities of damages were described; however, there was no experiential feedback present. Investments were greater in conditions where experiential feedback was present and damages were high compared to conditions where experiential feedback was absent and damages were low. Furthermore, only high-damage feedback produced learning in ILS. Experience gained in ILS enables people to improve their decision-making against landslide risks. Simulation tools seem appropriate for landslide risk communication and for performing what-if analyses.

scholarly journals Learning in an interactive simulation tool against landslide risks: the role of strength and availability of experiential feedback

2018 ◽  
Vol 18 (6) ◽  
pp. 1599-1616 ◽  
Author(s):  
Pratik Chaturvedi ◽  
Akshit Arora ◽  
Varun Dutt
Keyword(s):  
Decision Making ◽  
Natural Disasters ◽  
Risk Communication ◽  
Himachal Pradesh ◽  
Landslide Risk ◽  
Interactive Simulation ◽  
Simulation Tool ◽  
Simulation Tools

Abstract. Feedback via simulation tools is likely to help people improve their decision-making against natural disasters. However, little is known on how differing strengths of experiential feedback and feedback's availability in simulation tools influence people's decisions against landslides. We tested the influence of differing strengths of experiential feedback and feedback's availability on people's decisions against landslides in Mandi, Himachal Pradesh, India. Experiential feedback (high or low) and feedback's availability (present or absent) were varied across four between-subject conditions in a tool called the Interactive Landslide Simulation (ILS): high damage with feedback present, high damage with feedback absent, low damage with feedback present, and low damage with feedback absent. In high-damage conditions, the probabilities of damages to life and property due to landslides were 10 times higher than those in the low-damage conditions. In feedback-present conditions, experiential feedback was provided in numeric, text, and graphical formats in ILS. In feedback-absent conditions, the probabilities of damages were described; however, there was no experiential feedback present. Investments were greater in conditions where experiential feedback was present and damages were high compared to conditions where experiential feedback was absent and damages were low. Furthermore, only high-damage feedback produced learning in ILS. Simulation tools like ILS seem appropriate for landslide risk communication and for performing what-if analyses.

scholarly journals Evaluation of efficiency and reliability of airport processes using simulation tools

2021 ◽  
Vol 23 (4) ◽  
pp. 659-669
Author(s):  
Paweł Gołda ◽  
Tomasz Zawisza ◽  
Mariusz Izdebski
Keyword(s):  
Genetic Algorithm ◽  
Decision Making ◽  
Simulation Tool ◽  
Simulation Tools ◽  
Aircraft Landing ◽  
Mutation Operators ◽  
Decision Making Model ◽  
Crossover And Mutation ◽  
Efficiency And Reliability

The purpose of this paper is to evaluate the efficiency of airport processes using simulation tools. A critical review of selected scientific studies relating to the performance of airport processes with respect to reliability, particularly within the apron, has been undertaken. The developed decision-making model evaluates the efficiency of airport processes in terms of minimizing penalties associated with aircraft landing before or after the scheduled landing time. The model takes into account, among other things, aircraft take-offs and landings and separation times between successive aircraft. In order to be able to verify the correctness of the decision-making model, a simulation tool was developed to support decision making in the implementation of airport operations based on a genetic algorithm. A novel development of the structure of a genetic algorithm as well as crossover and mutation operators adapted to the determination of aircraft movement routes on the apron is presented. The developed simulation tool was verified on real input data.

Design of an ICT Tool for Decision Making in Social and Health Policies

2013 ◽  
pp. 802-819 ◽  
Author(s):  
Francisco Grimaldo ◽  
Francisco Ródenas ◽  
Miguel Lozano ◽  
Stephanie Carretero ◽  
Juan Manuel Orduña ◽  
...  
Keyword(s):  
Decision Making ◽  
Long Term Care ◽  
Health Policies ◽  
Simulation Tool ◽  
New Governance ◽  
Term Care ◽  
Policy Makers ◽  
Simulation Tools ◽  
Care Policies

The governance requires technical support regarding the complexity in deciding health policies to assist people who require long-term care. Long-term care policies require the use of ICT simulation tools that can provide policy makers with the option of going into a decision theatre and virtually knowing the consequences of different policies prior to finally determining the real policy to be adopted. In this sense, there is an absence of simulation tools for decision making about long-term care policies. In this chapter, the authors propose the foundations and guidelines of SSIMSOWELL, a new scalable, multiagent simulation tool that increases the prediction capacity of governance in the long term care policies, improving the decision making in short, medium, and large term in different European regions. The simulation tool implements a previously validated Social Sustainability Model (SSM). The main goal of SSIMSOWELL is the prediction of policy impacts and the development of new governance models, since it increases the budgetary efficiency and the sustainability of long term policies. In addition, it improves the capacity of policy makers in modelling, planning, and evaluating social-health policies at different scales, ranges, and times in the European Union.

Multi-Agent Economically Motivated Decision-Making

2014 ◽  
pp. 165-183 ◽  
Author(s):  
Paulo Trigo
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Electricity Markets ◽  
Simulation Tool ◽  
Strategic Behaviour ◽  
Decision Making Processes ◽  
Multi Agent ◽  
Near Future

The key motivation for this chapter is the perception that within the near future, markets will be composed of individuals that may simultaneously undertake the roles of consumers, producers and traders. Those individuals are economically motivated “prosumer” (producer-consumer) agents that not only consume, but can also produce, store and trade assets. This chapter describes the most relevant aspects of a simulation tool that provides (human and virtual) prosumer agents an interactive and real-time game-like environment where they can explore (long-term and short-term) strategic behaviour and experience the effects of social influence in their decision-making processes. The game-like environment is focused on the simulation of electricity markets, it is named ITEM-game (“Investment and Trading in Electricity Markets”), and it is publically available (ITEM-Game, 2013) for any player to explore the role of a prosumer agent.

Design of an ICT Tool for Decision Making in Social and Health Policies

2015 ◽  
pp. 997-1014
Author(s):  
Francisco Grimaldo ◽  
Francisco Ródenas ◽  
Miguel Lozano ◽  
Stephanie Carretero ◽  
Juan M. Orduña ◽  
...  
Keyword(s):  
Decision Making ◽  
Long Term Care ◽  
Health Policies ◽  
Simulation Tool ◽  
New Governance ◽  
Term Care ◽  
Policy Makers ◽  
Simulation Tools ◽  
Care Policies

The governance requires technical support regarding the complexity in deciding health policies to assist people who require long-term care. Long-term care policies require the use of ICT simulation tools that can provide policy makers with the option of going into a decision theatre and virtually knowing the consequences of different policies prior to finally determining the real policy to be adopted. In this sense, there is an absence of simulation tools for decision making about long-term care policies. In this chapter, the authors propose the foundations and guidelines of SSIMSOWELL, a new scalable, multiagent simulation tool that increases the prediction capacity of governance in the long term care policies, improving the decision making in short, medium, and large term in different European regions. The simulation tool implements a previously validated Social Sustainability Model (SSM). The main goal of SSIMSOWELL is the prediction of policy impacts and the development of new governance models, since it increases the budgetary efficiency and the sustainability of long term policies. In addition, it improves the capacity of policy makers in modelling, planning, and evaluating social-health policies at different scales, ranges, and times in the European Union.

Elaborating the role of reflection and individual differences in the study of folk-economic beliefs

2018 ◽  
Vol 41 ◽  
Author(s):  
Kevin Arceneaux
Keyword(s):  
Decision Making ◽  
Individual Differences ◽  
Cognitive Processes ◽  
Evolutionary History ◽  
Behavioral Responses ◽  
History Of ◽  
Economic Beliefs

AbstractIntuitions guide decision-making, and looking to the evolutionary history of humans illuminates why some behavioral responses are more intuitive than others. Yet a place remains for cognitive processes to second-guess intuitive responses – that is, to be reflective – and individual differences abound in automatic, intuitive processing as well.

The Role of Shared Decision-Making in Audiologic Rehabilitation

2014 ◽  
Vol 21 (1) ◽  
pp. 15-23 ◽  
Author(s):  
Helen Pryce ◽  
Amanda Hall
Keyword(s):  
Decision Making ◽  
Shared Decision Making ◽  
Behavior Changes ◽  
Shared Decision ◽  
Patient Centered ◽  
Treatment Information ◽  
Centered Care ◽  
Potential Risks ◽  
Audiologic Rehabilitation

Shared decision-making (SDM), a component of patient-centered care, is the process in which the clinician and patient both participate in decision-making about treatment; information is shared between the parties and both agree with the decision. Shared decision-making is appropriate for health care conditions in which there is more than one evidence-based treatment or management option that have different benefits and risks. The patient's involvement ensures that the decisions regarding treatment are sensitive to the patient's values and preferences. Audiologic rehabilitation requires substantial behavior changes on the part of patients and includes benefits to their communication as well as compromises and potential risks. This article identifies the importance of shared decision-making in audiologic rehabilitation and the changes required to implement it effectively.

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