AdSiF & Agents

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AGENT BASED MODELING IN
MILITARY SIMULATIONS
Artificial Intelligence and Reasoning Support
Belief, Desire, Intension (BDI) Agents

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Agenthood in Wargame Scenarios
• Autonomous agent decision making
• Commanders follow a mission plan and
evaluate situations of the entities sharing the
same environment and also environmental
factors.
• Commitment Strategies
– Blind commitment
– Single-minded commitment
– Open-minded commitment

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Agenthood in Wargame Scenarios
• A mission plan consists of
– Task to do,
– Goals to succeed
– Succeed criteria for goals,
– Fail criteria for goal,
– Secondary goals,
– Alternative plans,
– Timing information,
– Resources,
– and a commitment strategy
• As an agent, a commander has capability of
implementing a mission plan an generating alternative
action plans.

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Agenthood in Wargame Simulation
• Taking secondary and opportunity targets into
account given in missions,
• Possible to drive multi-tasks in parallel,
– Air/Land/Maritime force mission library
• Joint Force Operations
Air Defense Mission Library
Air to Ground Attack
Close Air Support
TASMO
Surveillance
Reconnaissance
<User Custom Missions>

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Mission Library
• It is possible to extend mission library for users
using
– Graphical user interfaces
– Conceptual Model Development Tool (CMD)
• Planning mission using Graphical User Interface
(GUI)
• Extendable by scripts and plugins provided by
users

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Solution Approach
BML grammar and dictionary
A mission is a higher order behavioral description using model behaviors as words,
it follows AdSiF grammar.
Mission definitions are given in the dictionary
and prevented ambiguity.

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Mission Force Organization
• A force unit has to have C4ISR organization
structure given below;
– The structure is defined using C4ISR architecture
diagrams;
• State information
– Friend/Foe units and weather information
• Mission description
– Goal, Who, What, using what, Where
• Application procedures
• Service support
• Command signal
• Time synchronization

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More features inside
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info@agenasavunma.com
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