Simulation and modeling of human decision|making process ...

Navigating Tomorrow: The Role of Simulation in Decision-Making

The ability of simulation to model diverse scenarios aligns with the multifaceted nature of business operations. It allows decision-makers to explore potential ...

Modeling the Decision Making of Human Operators in Highly ... - MDPI

A prescriptive simulation model of a process operator's decision making assisted with an artificial intelligence (AI) algorithm in a technical system ...

Simulation of consumers decision-making process using agent ...

This paper describes a model to simulate the decision-making process of consumers that adopts technology within a dynamic social network. The proposed model ...

competency framework on simulation modelling-supported decision ...

Simulation models are increasingly important for supporting decision-making in public health. However, due to lack of training, many public ...

simulation and artificial intelligence for identifying and improving ...

... simulation exercise may be to establish if the human decision-making process ... human decision-making within simulation models ... Simulation modeling and ...

Using deep learning to predict human decisions and using cognitive ...

Deep neural networks (DNNs) models have the potential to provide new insights in the study of cognitive processes, such as human decision ...

Simulating human-like decisions in a memory-based agent model

Agent-based models have been used to simulate complex social systems in many domains. Historically research in agent decision-making has ...

Testing Behavioral Simulation Models by Direct Experiment

The decision rules in simulation models of human behavior purport to describe decision-making behavior as it is and not as it should optimally be. Without ...

Modeling Distributed Human Decision-Making in Traffic Flow ...

This paper describes results from a state-of-the-art computer simulation model of distributed human decision-making in Traffic Flow Management (TFM).

Offers: value-based learning and decision making in humans

The goal of the internship is to study the properties of computational models of value-based learning and decision-making using simulation experiments (or ...

Modeling Dynamic Decision-Making of Virtual Humans - mediaTUM

The novelty is to use System Dynamics, in general defined as a top-down simulation approach, from the bottom-up inside each instance of the ...

Computational modelling for decision-making: where, why, what ...

In order to deal with an increasingly complex world, we need ever more sophisticated computational models that can help us make decisions ...

Human Decision-making in an Artificial Intelligence–Driven Future in ...

The fourth and final step in phase 2 of the proposed research is a simulation based on mathematical modeling. Its purpose is to explore whether ...

Mental Simulation as Support for Decision-Making in a Virtual Agent

Moreover, there exists evidence that mental simulation is not strictly a human capability, but ... its self model in alternative mental simulations. The agent's ...

Computer modeling of human decision making

Since flow diagrams, that assist in constructing computer simulation of such models, were not generally available, such diagrams were ...

Describing human decisions in agent-based models e ODD + D, an ...

The terms decision-making, adaptation and learning are clarified and distinguished. Furthermore, general structural changes in the. ODD + D protocol (mainly in ...

COSIMO: A cognitive simulation model of human decision making ...

Abstract · Cognitive modelling of fighter aircraft process control: a step towards an intelligent on-board assistance system · A model of operator behaviour for ...

Expert System Linked to a Simulation Model in the Expert Of ...

Many simulation models include some elements of human decision making. Typically these involve scheduling and allocation rules. For instance, a production ...

Roles of AI and Simulation for Military Decision Making - NATO STO

AI-technologies can assists the human analysts in building the 'target system model', i.e., by employing pattern recognition algorithms to process large amounts ...

Formalising theories of human decision-making for agent-based ...

When formalising such theories in computational models, these correlations first need to be translated into causal relationships allowing for simulation.