Application of Bug Navigation Algorithms for Large-Scale Agent-Based Evacuation Modeling to Support Decision Making

2021 ◽  
pp. 103322
Author(s):  
Fardad Haghpanah ◽  
Benjamin W. Schafer ◽  
Sebastián Castro
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Evacuation Modeling ◽  
Agent Based ◽  
Navigation Algorithms ◽  
Support Decision Making

Agent-based modeling of emergency evacuation in a railway station square under sarin terrorist attack

2016 ◽  
Vol 08 (02) ◽  
pp. 1750022 ◽  
Author(s):  
Liang Ma ◽  
Bin Chen ◽  
Sihang Qiu ◽  
Zhen Li ◽  
Xiaogang Qiu
Keyword(s):  
Decision Making ◽  
Terrorist Attack ◽  
Emergency Evacuation ◽  
Railway Station ◽  
Evacuation Modeling ◽  
Agent Based ◽  
Proposed Model ◽  
Planning Algorithm ◽  
Path Planning Algorithm ◽  
Support Decision Making

Evacuation modeling is a promising measure to support decision making in scenarios such as flooding, explosion, terrorist attack and other emergency incidents. Given the special attention to the terrorist attack, we build up an agent-based evacuation model in a railway station square under sarin terrorist attack to analyze such incident. Sarin dispersion process is described by Gaussian puff model. Due to sarin’s special properties of being colorless and odorless, we focus more on the modeling of agents’ perceiving and reasoning process and use a Belief, Desire, Intention (BDI) architecture to solve the problem. Another contribution of our work is that we put forward a path planning algorithm which not only take distance but also comfort and threat factors into consideration. A series of simulation experiments demonstrate the ability of the proposed model and examine some crucial factors in sarin terrorist attack evacuation. Though far from perfect, the proposed model could serve to support decision making.

scholarly journals Tenacity in Performance of Small and Mid-cap Mutual Funds in Indian Scenario- In support to Investors Decision

2020 ◽  
Vol 9 (1) ◽  
pp. 1088-1091
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Mutual Funds ◽  
Crucial Role ◽  
Large Scale ◽  
Small Scale ◽  
The Past ◽  
Market Risks ◽  
Support Decision Making ◽  
Indian Scenario

Mutual funds play a crucial role in financial sector for small-scale and large-scale investors. Within the Indian scenario, there is a need to define criteria to guide the investors in selection between small-caps and mid-caps mutual funds. Although small-caps provide there is always a question of higher market risks compared to mid-caps. So, the work emphasizes on analysis performances of Small caps in comparison with mid-caps that would certainly support decision-making. In the present work a comprehensive assessment of existing mutual funds that involves small and mid-cap with respect to Indian scenario is presented and their performance in the market for the past ten years is analyzed. The study analyses the fund’s performance by considering parameters like market risk, momentum, expenses, size and value. The persistence and decision-making of the investor are discussed with respect to the small and mid-cap funds. In this regard, we have considered the best and worst-performing small and mid-cap funds according to their returns in a overall span of more than 3 years. A comparative analysis between the decision making parameters that are performing and underperforming during this period are considered. In this study, small-caps funds like HDFC small-cap fund, Kotak, DSP small Cap fund and Franklin India Small MF and in parallel, mid-cap funds including Kota Emerging equity, DSP Midcap and Axis Midcap and Franklin India are considered

scholarly journals Intra-group decision-making in agent-based models

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Allegra A. Beal Cohen ◽  
Rachata Muneepeerakul ◽  
Gregory Kiker
Keyword(s):  
Decision Making ◽  
Functional Groups ◽  
Group Dynamics ◽  
Group Decision Making ◽  
Local Governments ◽  
Large Scale ◽  
Group Decision ◽  
Social Systems ◽  
Agent Based Models ◽  
Agent Based

AbstractMany agent-based models (ABMs) try to explain large-scale phenomena by reducing them to behaviors at lower scales. At these scales in social systems are functional groups such as households, religious congregations, coops and local governments. The intra-group dynamics of functional groups often generate inefficient or unexpected behavior that cannot be predicted by modeling groups as basic units. We introduce a framework for modeling intra-group decision-making and its interaction with social norms, using the household as our focus. We select phenomena related to women’s empowerment in agriculture as examples influenced by both intra-household dynamics and gender norms. Our framework proves more capable of replicating these phenomena than two common types of ABMs. We conclude that it is not enough to build multi-scale models; explaining social behaviors entails modeling intra-scale dynamics.

scholarly journals The theory of situational management and the practice of its implementation for the Basic Modeling Complex of the security and defense sector.

2021 ◽  
Vol 4 ◽  
pp. 15-34
Author(s):  
V.F. Grechaninov ◽  
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
General Structure ◽  
Mathematical Methods ◽  
Tech Nologies ◽  
Situational Management ◽  
The Creation ◽  
Support Decision Making ◽  
United Network ◽  
Infor Mation

The article is focused on the principles of situational management, situational centers in man-agement systems, the legal basis of the creation and functioning of the system of public authori-ties’ situational centers. The paper addresses the following issues of the theory of the security and defense sector situational management construction (SDC): foundations, means and tech-nologies of situational management, the necessity to use situational centers (SC) in manage-ment, the concept of the creation of a SCs network, features typical for the SC of public authori-ties of the security and defense sector. The practice of situational management creation is shown on the example of the Basic Modeling Complex (BMC). The paper describes the re-quirements and decisions regarding the organizational and functional structures that were taken into account when creating the complex. The features of the creation of the general structure of the BMC and the composition of the set of means for its automation have been analyzed, and «Assessment of risks and threats to the security and defense sector» and «Support for the work and interaction of officials of situational centers in decision-making» models have been de-scribed. The structure and mathematical methods used for the operation of models have been revealed. To sum up, the use of methods and systems of situational management, which com-bine technologies to support decision-making, storage, processing, concentrated display and presentation of information, radically changes the principles of analysis, discussion and solu-tion of large-scale and complex management problems. SCs of state authorities of Ukraine, the creation of which has recently intensified, should be integrated into a united network of the SCs of the SDS. The requirements for the integration, including requirements at the level of infor-mation exchange, must be taken into account.

scholarly journals Promoting the adoption of agent-based modelling for synergistic interventions and decision-making during pandemic outbreaks

2021 ◽  
Vol 2 ◽  
pp. 1-5
Author(s):  
P. Kyriakidis ◽  
D. Kavroudakis ◽  
P. Fayad ◽  
S. Hadjipetrou ◽  
G. Leventis ◽  
...  
Keyword(s):  
Decision Making ◽  
Human Mobility ◽  
Coupled Model ◽  
Disease Spread ◽  
Minimal Set ◽  
Human Environment ◽  
Agent Based ◽  
Contact Points ◽  
Home Work ◽  
Support Decision Making

Abstract. Geography has long sought to explain spatial relationships between social and physical processes, including the spread of infectious diseases, within the context of modelling human-environment interactions. The spread of the recent COVID-19 pandemic, and its devastating effects on human activity and welfare, represent but examples of such complex human-environment interactions. In this paper, we discuss the value of agent-based models for simulating the spread of the COVID-19 virus to support decision-making with regards to non-pharmaceutical interventions, e.g., lock-down. We also develop a prototype agent-based model using a minimal set of rules regarding patterns of human mobility within a hypothetical town, and couple that with an epidemiological model of infectious disease spread. The coupled model is used to: (a) create synthetic trajectories corresponding to daily and weekly activities postulated between a set of predefined points of interest (e.g., home, work), and (b) simulate new infections at contact points and their subsequent effects on the spread of the disease. We finally use the model simulations as a means of evaluating decisions regarding the number and type of activities to be limited during a planned lockdown in a COVID-19 pandemic context.

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