scholarly journals Improving human understanding and design of complex multi-level systems with animation and parametric relationship supports

2015 ◽  
Vol 1 ◽  
Author(s):  
Paul Egan ◽  
Christian Schunn ◽  
Jonathan Cagan ◽  
Philip LeDuc
Keyword(s):  
Engineering Students ◽  
Learning Design ◽  
Interactive Software ◽  
Agent Based ◽  
Parametric Relationship ◽  
Software Interfaces ◽  
Crucial Information ◽  
Multi Level ◽  
Design Interfaces ◽  
Emergent Behaviors

Complex systems are challenging to design, particularly when they contain multi-level organizations with non-obvious relationships among design components. Here, we investigate engineering students’ capacity to search for optimal nanoscale biosystem designs with stochastic component and system behaviors. The study aims to characterize information types that facilitate human learning and improve their complex system understanding and design proficiency. It is hypothesized that learning parametric system relationships and/or inter-level causal mechanisms improves design proficiency; these relationships and mechanisms are teachable through software interfaces. Two contrasting learning/design interfaces were developed that presented differing information types: an interface with performance charts that emphasized parametric relationship learning and an interface with agent-based animations that emphasized inter-level causality learning. Users improved on pre-/post-learning design tasks with both interfaces; users who demonstrated inter-level causal relationship understanding, which occurred primarily with the animation interface, had greater improvement. All users were then presented contrasting animations of systems with opposing emergent behaviors, resulting in many more participants demonstrating an understanding of inter-level causal behaviors. These findings reveal the difficulties in understanding and designing multi-level systems and that interactive software tools may convey crucial information that supports engineering design, particularly with respect to the development of reasoning skills for how system components relate across levels.

A Proposed Model of an Intelligent Software Agent for Marketing Education (ISAME)

2021 ◽  
pp. 529-537
Author(s):  
Hussein Moselhy Sayed Ahmed
Keyword(s):  
Software Agent ◽  
Interactive Software ◽  
Initial Test ◽  
Training And Education ◽  
Agent Based ◽  
Marketing Education ◽  
Education Resources ◽  
Intelligent Software ◽  
Proposed Model ◽  
Digital Environments

The purpose of this article is to illustrate the advantages of intelligent software agent technologies in order to facilitate the location and customization of appropriate marketing education resources, as well as to foster collaboration between individuals within digital environments. In order to do this, this article discusses how such intelligent and interactive software can translate into a better educational environment for marketing curriculum, particularly e-marketing courses. The authors present a conceptual model for managing marketing training and education using intelligent software agent, based on extant literature. So, this article presents some initial test of the proposed model of ISAME usage in marketing education in e-marketing class.

A Proposed Model of an Intelligent Software Agent for Marketing Education (ISAME)

2018 ◽  
Vol 1 (1) ◽  
pp. 20-30
Author(s):  
Hussein Moselhy Sayed Ahmed
Keyword(s):  
Educational Environment ◽  
Software Agent ◽  
Interactive Software ◽  
Training And Education ◽  
Agent Based ◽  
Marketing Education ◽  
Education Resources ◽  
Intelligent Software ◽  
Proposed Model ◽  
Digital Environments

The purpose of this article is to illustrate the advantages of intelligent software agent technologies in order to facilitate the location and customization of appropriate marketing education resources, as well as to foster collaboration between individuals within digital environments. In order to do this, this article discusses how such intelligent and interactive software can translate into a better educational environment for marketing curriculum, particularly e-marketing courses. The authors present a conceptual model for managing marketing training and education using intelligent software agent, based on extant literature. So, this article presents some initial test of the proposed model of ISAME usage in marketing education in e-marketing class.

scholarly journals A Combined Multi-Level Perspective and Agent-Based Modeling in Low-Carbon Transition Analysis

Energies ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 5050
Author(s):  
Xifeng Wu ◽  
Sijia Zhao ◽  
Yue Shen ◽  
Hatef Madani ◽  
Yu Chen
Keyword(s):  
Quantitative Description ◽  
Nonlinear Process ◽  
Agent Based Modeling ◽  
Low Carbon ◽  
Transition Analysis ◽  
Agent Based ◽  
Overall Design ◽  
Complex Processes ◽  
Multi Level ◽  
The Many

Low-carbon transitions are long-term complex processes that are driven by multiple factors. To provide a theoretical and practical framework of this process, we argue that the combination of the multi-level perspective (MLP) and agent-based modeling (ABM) enables us to reach a deeper and detailed analysis of low-carbon transitions. As an extensively applied theoretical form, MLP conceptualizes low-carbon transitions as a nonlinear process and allows a system to be analyzed and organized into multiple dimensions (landscape, regime, and niche). However, MLP cannot explain the many details of complex transitions, whereas ABM can estimate the influence of interacting behaviors in a complex system. Therefore, the main advantages of the combined approach for the analysis of low-carbon transition are verified: the MLP can contribute to the overall design of ABM, and ABM can provide a dynamic, continuous, and quantitative description of the MLP. To construct this combination framework, this paper offers a guiding principle that combines the two perspectives under a low-carbon transitional background to create an integrated strategy using three procedures: defining the common concepts, their interaction, and their combination. Through the proposed framework, the goal of this work was to reach a better understanding of social system evolution from the present high-carbon state to a low-carbon state under the pressure of ambitious climate goals, providing specific policy recommendations.

scholarly journals Games Ready to Use: A Serious Game for Teaching Natural Risk Management

2018 ◽  
Vol 49 (4) ◽  
pp. 441-470 ◽  
Author(s):  
Franck Taillandier ◽  
Carole Adam
Keyword(s):  
Risk Management ◽  
Engineering Students ◽  
Well Being ◽  
Serious Game ◽  
Natural Risk ◽  
Agent Based ◽  
Traditional Course ◽  
Multi Agent ◽  
The University ◽  
Future Work

Background.Risk management, and in particular the management of natural hazards and territorial risks has become an essential skill for civil engineers. Teaching risk management to engineering students is therefore crucial, but is also challenging: it looks too abstract to students, and practical works are complex and expensive to organise. It also involves interconnected mechanisms coupling human and technical aspects, that are difficult to explain. Aim. The challenge is then to propose a serious game able to support the teaching of territorial risk management to engineering students. As part of their curriculum, these students are expected to learn various concepts and notions: territorial risk, vulnerability of a territory, resilience, risk perception, multi-criteria analysis and balanced management. Method. In order to support risk management teaching, we propose SPRITE, an agent-based serious game using a concrete case study which is exemplary in terms of risk management: the coastal floods on the Oleron Island (France). SPRITE places the player (the student) in the role of a local councillor of the Oleron Island, who must ensure the safety and well-being of the island residents, while maximising performance with respect to economic and environmental issues, in a context of coastal flood risk. Results. The model is fully implemented in GAMA, an open-source multi-agent geographical simulation platform, and the game is already playable. It was used at the University of Bordeaux in a course on risk management dedicated to students in the Master of Geology and Civil Engineering. The evaluation of engagement and motivation with the game and learning from playing is very positive. Conclusions. The results from the game evaluation are encouraging. Short term future work will mainly be dedicated to pursuing this evaluation, and comparing results between students using SPRITE vs students following a more traditional course. Longer term prospects include several improvements of the model and the interface and implemented multiplayer features.

Agent based modeling of the coevolution of hostility and pacifism

2015 ◽  
Vol 26 (09) ◽  
pp. 1550098 ◽  
Author(s):  
Fermin Dalmagro ◽  
Juan Jimenez
Keyword(s):  
Social Systems ◽  
Stable State ◽  
Agent Based Modeling ◽  
Armed Conflicts ◽  
Agent Based ◽  
Public Data ◽  
Prisoners Dilemma ◽  
Quantitative Characteristics ◽  
Global Peace ◽  
Emergent Behaviors

We propose a model based on a population of agents whose states represent either hostile or peaceful behavior. Randomly selected pairs of agents interact according to a variation of the Prisoners Dilemma game, and the probabilities that the agents behave aggressively or not are constantly updated by the model so that the agents that remain in the game are those with the highest fitness. We show that the population of agents oscillate between generalized conflict and global peace, without either reaching a stable state. We then use this model to explain some of the emergent behaviors in collective conflicts, by comparing the simulated results with empirical data obtained from social systems. In particular, using public data reports we show how the model precisely reproduces interesting quantitative characteristics of diverse types of armed conflicts, public protests, riots and strikes.

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