Distributed discrepancy detection for a goal reasoning agent in beyond-visual-range air combat

Karneeb, Justin; Floyd, Michael W.; Moore, Philip; Aha, David W.

doi:10.3233/aic-180757

Cited by 6 publications

(5 citation statements)

References 5 publications

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“…We briefly summarize these efforts. Additional details can be found, for example, in Floyd, Karneeb, and Aha (2017) and Karneeb et al (2018).…”

Section: Oceanserveriver2mentioning

confidence: 99%

“…The TBM represents a goal as a set of preferred desire values g = 〈 pref 1 , …, pref m 〉, and it attempts to achieve environment states that satisfy its active goal's desires. The TBM's discrepancy detector tests the following discrepancies ( D ), some of which refer to preferred desires: Incoming Missile; Model Changed; Flanking Hostile; Expectations Violated; Out of Ammo; Low on Fuel ; and Opportunistic Target (Karneeb et al 2018). For example, Incoming Missile identifies unexpected hostile missiles (which allows the TBM to dynamically respond to an attack and attempt to evade the missile), Low on Fuel tests whether that resource is running low, and Expectations Violated tests for violations of any of the current plan's expectations, which are generated by the state predictor.…”

Section: Emerging Applicationsmentioning

confidence: 99%

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Goal Reasoning: Foundations, Emerging Applications, and Prospects

Aha¹

2018

AI Magazine

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Goal reasoning (GR) has a bright future as a foundation for the research and development of intelligent agents. GR is the study of agents that can deliberate on and self-select their goals/objectives, which is a desirable capability for some applications of deliberative autonomy. While studied in diverse AI sub-communities for multiple applications, our group has focused on how GR can play a key role for controlling autonomous systems. Thus, its importance is rapidly growing and it merits increased attention, particularly from the perspective of research on AI safety. In this article, I introduce GR, briefly relate it to other AI topics, summarize some of our group’s work on GR foundations and emerging applications, and describe some current and future research directions.

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“…We briefly summarize these efforts. Additional details can be found, for example, in Floyd, Karneeb, and Aha (2017) and Karneeb et al (2018).…”

Section: Oceanserveriver2mentioning

confidence: 99%

Section: Emerging Applicationsmentioning

confidence: 99%

Goal Reasoning: Foundations, Emerging Applications, and Prospects

Aha¹

2018

AI Magazine

Self Cite

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“…Goal formulation based on domain-independent heuristics called motivators (opportunity, exploration, and social), where each motivator is weighed based on urgency and fitness, are presented in M-ARTUE (Wilson et al, 2013b). On similar terms, Karneeb et al (2018) presents discrepancy detection in air combat agents. The paper focuses on discrepancy detection and response in the real-world.…”

Section: Empirical Results With Domain-independent Rulesmentioning

confidence: 94%

The Rational Selection of Goal Operations and the Integration ofSearch Strategies with Goal-Driven Autonomy

Kondrakunta¹,

Gogineni²,

Cox³

et al. 2022

Preprint

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Intelligent physical systems as embodied cognitive systems must perform high-level reasoning while concurrently managing an underlying control architecture. The link between cognition and control must manage the problem of converting continuous values from the real world to symbolic representations (and back). To generate effective behaviors, reasoning must include a capacity to replan, acquire and update new information, detect and respond to anomalies, and perform various operations on system goals. But, these processes are not independent and need further exploration. This paper examines an agent's choices when multiple goal operations co-occur and interact, and it establishes a method of choosing between them. We demonstrate the benefits and discuss the trade offs involved with this and show positive results in a dynamic marine search task.

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“…This is particularly evident through the emergence of micro devices, which have not only garnered increased attention within both domestic and foreign military sectors but have also ushered in an extended sphere for potential development. 1 , 2 , 3 , 4 , 5 , 6 Micro turbine engines (MTEs) showcase advantages including lightweight construction, high energy density within a compact form, and an impressive thrust-to-weight ratio. Consequently, they are extensively employed in diverse applications, encompassing both military and civilian unmanned aircraft.…”

Section: Introductionmentioning

confidence: 99%

Numerical study on atomization characteristics of biomimetic evaporation tube in micro turbine engine

Zhang,

et al. 2024

iScience

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Distributed discrepancy detection for a goal reasoning agent in beyond-visual-range air combat

Cited by 6 publications

References 5 publications

Goal Reasoning: Foundations, Emerging Applications, and Prospects

Goal Reasoning: Foundations, Emerging Applications, and Prospects

The Rational Selection of Goal Operations and the Integration ofSearch Strategies with Goal-Driven Autonomy

Numerical study on atomization characteristics of biomimetic evaporation tube in micro turbine engine

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