Behavioral Characteristic of Synthetic Teammates in Simulation-Based Training

2002 ◽  
Vol 46 (25) ◽  
pp. 2039-2043 ◽  
Author(s):  
Michael A. Szczepkowski ◽  
Joan Ryder ◽  
Jacqueline Scolaro
Keyword(s):  
Human Performance ◽  
Cognitive Model ◽  
Behavioral Characteristics ◽  
Simulation Environment ◽  
Behavioral Characteristic ◽  
Model Based ◽  
Simulation Based ◽  
Training Simulation

Cognitive model-based synthetic teammates allow individuals to engage in guided mission rehearsal when other teammates and/or instructors may not be available. Synthetic teammates employed in a training simulation environment need to behave in a believable manner in order to interact with human teammates effectively. Synthetic teammate developers must consider which types of exhibited behavior are required to provide instruction. Classes of behavior that may be required of a synthetic include individual taskwork, teamwork, and instruction. In addition, the level of human performance emulation, i.e., the degree of competency of these behaviors, needs to be considered. This paper discusses these classes of behavior as well as the appropriateness of performance versus competence modeling. Two examples of synthetic teammate development efforts are presented that illustrate these behavioral characteristics.

scholarly journals Developers’ Behavioral Characteristic and Its Impact On Performance: A Case Study Of Iot Development Product Design

2019 ◽  
Vol 63 (1) ◽  
pp. 1178-1182
Author(s):  
Jongsoon Park ◽  
David Kuhns
Keyword(s):  
System Design ◽  
Product Design ◽  
Human Performance ◽  
Behavioral Characteristics ◽  
Behavioral Characteristic ◽  
Design Considerations ◽  
Knowledge Based ◽  
And Performance ◽  
Developer Behavior

The IoT industry is facing a significant demand to provide more efficient paths for developer communities. At the same time, products are often developed without consideration of usability or are limited to general usability heuristics. Moreover, there is not much research on developers’ behavioral characteristics and its impact on human performance. This paper attempts to show how understanding their skill-, rule-, and knowledge-based behaviors can benefit developer experience and performance efficiency. This study references recent developer products to highlight 1) characteristics of developer behavior and 2) key system design considerations that help improve developer performance. We also discuss gaps identified in industry practices and the opportunities towards more consideration of the cognitive aspects in developer product design processes.

scholarly journals A Novel Monte-Carlo Simulation-Based Model for Malware Detection (eRBCM)

Electronics ◽  
2021 ◽  
Vol 10 (22) ◽  
pp. 2881
Author(s):  
Muath Alrammal ◽  
Munir Naveed ◽  
Georgios Tsaramirsis
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Information Systems ◽  
Malware Detection ◽  
New Model ◽  
Malicious Activity ◽  
Model Based ◽  
Simulation Based ◽  
Computer Based ◽  
Reinforcement Model

The use of innovative and sophisticated malware definitions poses a serious threat to computer-based information systems. Such malware is adaptive to the existing security solutions and often works without detection. Once malware completes its malicious activity, it self-destructs and leaves no obvious signature for detection and forensic purposes. The detection of such sophisticated malware is very challenging and a non-trivial task because of the malware’s new patterns of exploiting vulnerabilities. Any security solutions require an equal level of sophistication to counter such attacks. In this paper, a novel reinforcement model based on Monte-Carlo simulation called eRBCM is explored to develop a security solution that can detect new and sophisticated network malware definitions. The new model is trained on several kinds of malware and can generalize the malware detection functionality. The model is evaluated using a benchmark set of malware. The results prove that eRBCM can identify a variety of malware with immense accuracy.

TSSM: Three-State Switchable Memristor Model Based on Ag/TiOx Nanobelt/Ti Configuration

2021 ◽  
Vol 31 (07) ◽  
pp. 2130020
Author(s):  
Xiaoyue Ji ◽  
Donglian Qi ◽  
Zhekang Dong ◽  
Chun Sing Lai ◽  
Guangdong Zhou ◽  
...  
Keyword(s):  
High Efficiency ◽  
Response Speed ◽  
Differential Resistance ◽  
Fast Response ◽  
Boolean Logic ◽  
Behavioral Characteristics ◽  
Model Based ◽  
Geometry Nonlinearity ◽  
Neuromorphic System ◽  
Logic Operations

Memristive technologies are attractive due to their nonvolatility, high density, low power, nanoscale geometry, nonlinearity, binary/multiple memory capacity, and negative differential resistance. For memristive devices, a model corresponding with practical behavioral characteristics is highly favorable for the realization of its neuromorphic system and applications. In this paper, we propose a novel memristor model based on the Ag/TiOx nanobelt/Ti configuration, which can reflect three different states (i.e. original stage, transition stage, and resistive switching state) of the physical memristor with a satisfactory fitting precision (greater than 99.88%). Meanwhile, this work gives (1) an insight onto the electrical characteristics of the memristor model under different humidity conditions; (2) the influence of the water molecular concentration on the memristor behavior, which is of importance for the memristor fabrication and subsequent applications. For verification purposes, the proposed three-state switchable memristor is applied into the memristor-based logic implementation. The experimental results demonstrate that the constructed circuit is able to realize basic Boolean logic operations with fast response speed and high efficiency.

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