Analysis of Decision-Making Responses

Informs High Consequence Decisions. Better Understand and anticipate the interplay between specific individuals, political/social military organizations, and general society in response to potential courses of actions or events. Impact - enable analysts to assess higher-order (cascading) influences and reactions to events, as well as determine the uncertainty that the event will produce the desired results over time.

DYMATICA (Dynamic Multi-scale Assessment Tool for Integrated Cognitive-behavioral Actions) is a computational approach to help decision makers better understand and anticipate likely responses and decision calculus of governmental institutions, groups, and populations to geopolitical situations. DYMATICA assessments are designed to analyze geopolitical, psychosocial, economic, and military phenomenon subject to key physical constrains and conditions.

The intent of DYMATICA is to minimize the likelihood of decisions that lead to undesirable consequences by providing a more systematic analysis of decisions within state and non-state entities.

Why is DYMATICA important?

DYMATICA is designed to help answer why a country or group of interest is doing what they are doing and anticipate how they would respond to a US or allied course of action (COA).

A typical DYMATICA assessment shows how different scenarios and COAs are likely to affect key outcomes (subject to a variety of causal hypotheses) over time. Depending on the situations of interest, these outcomes may be geopolitical (such as interactions between countries), at the group level (such as political leanings of various groups, or tendencies of groups to engage in conflict or social unrest or to support U.S. actions), and individual level (such as decisions made by leaders). Output can also be non-cognitive (such as resource availability or economic trends). Structural and parametric uncertainty can be incorporated to demonstrate the range of likely outcomes given a variety of potential circumstances.

The assessment output typically portrays how various COAs and exogenous conditions jointly affect various endogenous model parameters at the geopolitical level, such as with a country of interest (COI), at the group level, such with political parties, ethnic groups, urban/rural group, etc. within the COI, and at the individual level, such as by leaders of countries. (For more information, please see DYMATICA Process & Development)

Graph describing DYMATICA model. Society encompasses industry, military institutions, political institutions, media, the executive, and all other world variables. Depending on a course of action taken by the US government, the EU, US, NATO, and other countries have some likelihood to respond in a predictable manner. This prediction is possible through models and systems such as DYMATICA.

What does DYMATICA Enable?

Descriptive and Prescriptive Analytics

  • DYMATICA helps organizations develop, understand, and compare likely effects of potential COAs under a variety of geopolitical scenarios. It supports hypothesis generation and COA development, analysis, and comparison, while accounting for uncertainty in the environment. DYMATICA can also compare and integrate views from multiple SMEs in a common, decision theory-based format.
  • DYMATICA is designed to quantitatively represent interactions between key actors to indicate likely outcomes over time. Economic, military, political, and social data and information, guidance from subject matter experts (SMEs), along with other relevant inputs are used to populate dynamic, theoretically based mathematical models. This results in assessments that enable rich exploration of outcomes under a variety of conditions. (For more information, please see DYMATICA Assessments)

Whole of Government/Population Tabletop Training Simulations

  • DYMATICA can simulate dynamic government, group, and population responses to natural disasters as well as conventional military and hybrid types of conflicts to enable the training for all phases of conflict.
  • Current efforts have coupled DYMATICA with interdependent physical infrastructure models designed to simulate detailed disruption dynamics (electric power, food fuel, transportation) and a social media model designed to simulate information contagion effects. (For more information, please see DYMATICA Assessments)
    • Developed associated scenarios with adversary actors based on real-world events and behaviors for training and evaluation.
  • This framework can simulate:
    • Socio-behavioral population behaviors at different scales and time horizons
    • Social/political dynamics in response to disruptions within societal infrastructures
    • Social media feeds driven by physical and social state variables
    • Different levels of intensity of adversary actor events
Detailed models of power, fuel, transport, and food infrastructure networks. Metadata model of social media reactions. These graphs are sourced from data from the DYMATICA model.

Decision Simulations

  • DYMATICA is being extended to simulate dynamic decision making within command authorities. This includes simulating how a conflict environment affects the decision-making process within command authorities and how these decisions, in turn, affect the conflict environment. The intent is to enable cognitively realistic simulations of command authority decision behavior, taking into account doctrine, situational awareness and human psychology. (For more information, please see DYMATICA Assessments)
  • The DYMATICA decision engine will run inside the Advanced Framework for Simulation, Integration and Modeling (AFSIM) environment as a task processor attached to specific commander platforms
Graphic showing the top down command authority and decision behavior.

Application Areas

Since 2008, DYMATICA models have been developed representing a variety of topic domains and country regions from around the world, including countries from Africa, Asia, Europe, and North and South America.

The assessment domain includes hybrid warfare activities—such as cyber messaging and deception; near-peer deterrence; state and non-state internal stability; migration; and propensity for aggressive behaviors.

Funding partners have included the United States’ Department of Defense (DoD), the United Kingdom’s Ministry of Defence, the intelligence community, NATO, Department of Energy, as well as SNL through its internal Laboratory Directed Research and Development program.

For General DYMATICA Information

Fact Sheet

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