Agent-Based Modeling of the Long-Term Effects of Pyriproxyfen on Honey Bee Population

2014 ◽  
pp. 179-208 ◽  
Author(s):  
James Devillers ◽  
Hugo Devillers ◽  
Axel Decourtye ◽  
Julie Fourrier ◽  
Pierrick Aupinel ◽  
...  
Keyword(s):  
Honey Bee ◽  
Agent Based Modeling ◽  
Long Term Effects ◽  
Agent Based

MACROECONOMIC STABILIZATION AND LONG-TERM GROWTH: THE ROLE OF POLICY DESIGN

2019 ◽  
pp. 1-46 ◽  
Author(s):  
Philipp Harting
Keyword(s):  
Policy Design ◽  
Theoretical Perspective ◽  
Long Term Effects ◽  
Agent Based ◽  
Stabilization Policies ◽  
Endogenous Business Cycles ◽  
The Business Cycle ◽  
Fiscal Stabilization

Do fiscal stabilization policies affect the long-term growth of the economy? If so, are the long-term effects growth enhancing or growth reducing? When addressing these questions from a theoretical perspective, the literature has typically emphasized the importance of structural aspects such as the modeling approach of endogenous technological change while paying less attention to an elaborate design of the considered fiscal stabilization policies. This paper uses an agent-based macroeconomic model that generates endogenous business cycles to emphasize the role of the policy design for long-term growth effects of stabilization policies. By comparing a demand-oriented consumption policy and two different investment subsidizing policies, it can be shown that these policies are successful in smoothing the business cycle but differ in terms of their effects on economic long-term growth. This highlights the importance of policy design for the analysis of long-term effects of stabilization policies.

scholarly journals A Two-Door Airplane Boarding Approach When Using Apron Buses

2018 ◽  
Vol 10 (10) ◽  
pp. 3619 ◽  
Author(s):  
Camelia Delcea ◽  
Liviu-Adrian Cotfas ◽  
Nora Chiriță ◽  
Ionuț Nica
Keyword(s):  
Turnaround Time ◽  
Agent Based Modeling ◽  
Point Of View ◽  
New Method ◽  
Direct Influence ◽  
Agent Based ◽  
Long Term Performance ◽  
Term Performance ◽  
New Infrastructure

Boarding is one of the major processes of airplane turnaround time, with a direct influence on the airline companies’ costs. From a sustainable point of view, a faster completion of the boarding process has impact not only on the airline company’s long-term performance, but also on customers’ satisfaction and on the airport’s possibility of offering more services without additional investments in new infrastructure. Considering the airplane boarding strategies literature, it can be observed that the latest papers are dealing with developing faster boarding strategies, most of them considering boarding using just one-door of the aircraft. Even though boarding on one-door might be feasible for the airports having the needed infrastructure and sufficient jet-bridges, the situation is different in European airports, as the use of apron buses is fairly common. Moreover, some of the airline companies have adapted their boarding pass in order to reflect which door one should board once they get down from the bus. While using these buses, the boarding strategies developed in the literature are hard to find their applicability. Thus, a new method for boarding on two-door airplanes when apron buses are used is proposed and tested against the actual boarding method. A model is created in NetLogo 6.0.4, taking advantages of the agent-based modeling and used for simulations. The results show a boarding time reduction of 8.91%.

Toward computational net assessment

2016 ◽  
Vol 14 (1) ◽  
pp. 79-94
Author(s):  
Aaron B Frank
Keyword(s):  
Department Of Defense ◽  
Computational Models ◽  
Agent Based Modeling ◽  
Strategic Analysis ◽  
Computing Technology ◽  
Agent Based ◽  
Military Organizations ◽  
Unique Approach ◽  
New Generation

a. In 1973, the Department of Defense (DoD) created the Office of Net Assessment (ONA) with a charter and unique approach to strategic analysis. This approach questioned the suitability of systems analysis to assess long-term, dynamic competition between complex military organizations, and turned to more qualitative methods as analytic alternatives. Developments in computing technology and modeling methods over the last two decades, most notably agent-based modeling (ABM), provide new opportunities to address the central analytic questions that motivated the original development of net assessment as a distinctive practice of strategic analysis. By employing ABM to simulate and analyze the behavior of strategic, adaptive, boundedly rational actors, which have previously frustrated mathematical analysis, a new generation of computational models can provide opportunities to add rigor to net assessment.

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