Cognitive Modeling Approach for Generating Authentic Tactical Agent Behavior

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F24%3APU151845" target="_blank" >RIV/00216305:26230/24:PU151845 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/10749624" target="_blank" >https://ieeexplore.ieee.org/document/10749624</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/DASC62030.2024.10749624" target="_blank" >10.1109/DASC62030.2024.10749624</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Cognitive Modeling Approach for Generating Authentic Tactical Agent Behavior

Popis výsledku v původním jazyce

This paper presents a synthesis of a tactical cognitive agent that utilizes advanced information processing models to enhance the human-like behavior of Computer Generated Forces (CGFs). The agent's Situational Awareness (SA) representation is enriched through the use of working memory, attention synthesis, and decision-making based on machine-learned models to accurately replicate human cognitive processes and behavior. This improved representation allows the agent to demonstrate human-like behavior under increased workload, a common condition in tactical flying scenarios. The innovative model structure is based on established concepts in cognitive and neurosciences and implemented using an Artificial Intelligence (AI) technique called the Behavior Tree (BT). The execution of SA driven behavior utilizes a purposely designed tactical autopilot based on Nonlinear Model Predictive Control (NMPC), enabling human-like maneuver specification and validation. The resulting cognitive agent was integrated into a ground-based simulation platform for synthetic tactical pilot training.

Název v anglickém jazyce

Cognitive Modeling Approach for Generating Authentic Tactical Agent Behavior

Popis výsledku anglicky

This paper presents a synthesis of a tactical cognitive agent that utilizes advanced information processing models to enhance the human-like behavior of Computer Generated Forces (CGFs). The agent's Situational Awareness (SA) representation is enriched through the use of working memory, attention synthesis, and decision-making based on machine-learned models to accurately replicate human cognitive processes and behavior. This improved representation allows the agent to demonstrate human-like behavior under increased workload, a common condition in tactical flying scenarios. The innovative model structure is based on established concepts in cognitive and neurosciences and implemented using an Artificial Intelligence (AI) technique called the Behavior Tree (BT). The execution of SA driven behavior utilizes a purposely designed tactical autopilot based on Nonlinear Model Predictive Control (NMPC), enabling human-like maneuver specification and validation. The resulting cognitive agent was integrated into a ground-based simulation platform for synthetic tactical pilot training.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/TN01000029" target="_blank" >TN01000029: Národní centrum kompetence pro letectví a kosmonautiku</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

AIAA/IEEE Digital Avionics Systems Conference - Proceedings

ISBN

979-8-3503-4961-0

ISSN

2155-7195

e-ISSN

—

Počet stran výsledku

15

Strana od-do

1-15

Název nakladatele

Institute of Electrical and Electronics Engineers

Místo vydání

San Diego

Místo konání akce

San Diego

Datum konání akce

29. 9. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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