2019
DOI: 10.1186/s13673-019-0197-2
|View full text |Cite
|
Sign up to set email alerts
|

On the realization of the recognition-primed decision model for artificial agents

Abstract: Naturalistic decision making (NDM) is a relatively new approach to decision-making that relies on situation awareness (SA) [20] rather than having a fixed set of principles from which to choose the best or optimal solution. One of the prominent models of NDM is Klein's [33] recognition-primed decision model. RPDM has a descriptive nature, and it requires a thorough understanding of philosophical concepts, such as intuition, perception, and mental simulation. The purpose of this study is to develop a method bas… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
3
2
1

Relationship

0
6

Authors

Journals

citations
Cited by 7 publications
(1 citation statement)
references
References 36 publications
0
1
0
Order By: Relevance
“…In traditional maritime navigation, a human pilot is responsible for assessing the situation and making the safest decisions, while an automatic ship navigation system is designed for autonomous navigation in a safe and efficient manner without human intervention or to guide navigators' decisions [25]. Danial et al [61,62] implemented a Markov logic network to model SA primarily for fire accidents and the emergency evacuation of offshore platforms. Through doing so, software agents created a method of simulating different behaviors in different situations in order to improve decision-making by facing trainees to different situations in a virtual training environment.…”
Section: Decision Makingmentioning
confidence: 99%
“…In traditional maritime navigation, a human pilot is responsible for assessing the situation and making the safest decisions, while an automatic ship navigation system is designed for autonomous navigation in a safe and efficient manner without human intervention or to guide navigators' decisions [25]. Danial et al [61,62] implemented a Markov logic network to model SA primarily for fire accidents and the emergency evacuation of offshore platforms. Through doing so, software agents created a method of simulating different behaviors in different situations in order to improve decision-making by facing trainees to different situations in a virtual training environment.…”
Section: Decision Makingmentioning
confidence: 99%