As complexity increases in organisations management, there is a greater need for interventions to help promote better systems thinking. This line of research concerns how the use of virtual simulation promotes systems thinking to better address the expectations for learning in the new era workplace.
The Goal-Based Scenario Tool and the Dynamic Scene Adapter Simulation
The Goal-Based Scenario Tool™
The pioneering new Goal-Based Scenario (GBS) Tool™ of Socratic Arts, embraces a learn-by-doing approach to training by engaging users in a question-and-answer dialog.
MITRE – Enhanced Scenario Based Method for effective, affordable, and delivered on schedule programs and projects
With today’s emphasis on affordability-based decision-making, by providing measures of risk and confidence, the enhanced scenario-based method (eSBM) helps improve decision-making and contains cost overrun risk.
The MITRE-developed eSBM approach helps users build scenarios to represent a program’s “risk story.”
- Facilitates a discussion of risk scenarios to decision-makers, where deliberations on their credibility and realism are a prime focus
- Provides a measured basis for the cost reserve needed to guard against identified program risks
Users then analyse the scenarios and measure how identified risks might increase a program’s cost above the amount planned.
Dynamic Scene Adapter™ Simulation
Socratic Arts’ Dynamic Scene Adapter (DSA) is an approach that supports simulation-based training programs in which decisions and actions are evaluated against a set of metrics (e.g., team morale, client satisfaction, etc.)
Make a different choice, get a different outcome: In the Dynamic Scene Adapter, how participants perform and are rated by coaches affects what happens next. At the end of each phase of the simulation, the program’s computer-based rules engine processes input from participants and coaches and generates a new “scene” based on that input.
Participants practice key skills, produce deliverables, and attend role-play meetings tied to the central storyline, as to gain insight into the workplace while simultaneously practicing soft-skills such as meeting facilitation and conflict resolution.
Benefits of the Scene-Adaptive Simulation
Simulations with Scene-Adaptation are ideal for improving trade-off based decision making, where decisions can have both positive and negative impacts. By continuously fine-tuning the story to user input, it allows participants to:
- Experience consequences in the way they would experience them in real life
- Understand the complex interrelationships between multiple decisions and feel the impact of their decisions over time and the effort to recover from troubled decisions.
As a result, participants become better able to identify and confront complex, multi-faceted workplace situations.
Creating Human Behaviour Models Able to Enhance Synthetic Agents
The goal of this ACASA research is to study human decision makers in networked settings, to analyse performance obstacles and judgment biases.
To derive principles of design of software systems, and to develop and study new classes of agent technology that foster human abilities.
To shift their mindset and increase understanding by modeling the human mindset/cognition in specific task-environments and designing intelligent software and related workflow processes.
Related to this, is the idea of enriching complexity-based game theoretic models to more accurately reflect the bounded rationality heuristics and simulate and better understand human information processing and decision making.
Emergence & Agent Based Simulation