Adaptation of cultural norms after merger and acquisition based on the heterogeneous agent-based relative-agreement model

SIMULATION ◽  
2013 ◽  
Vol 89 (12) ◽  
pp. 1523-1537 ◽  
Author(s):  
Hou Zhu ◽  
Bin Hu ◽  
Jiang Wu ◽  
Xiaolin Hu
Keyword(s):  
Merger And Acquisition ◽  
Cultural Norms ◽  
Heterogeneous Agent ◽  
Agent Based

scholarly journals MARKET STATISTICS OF A PSYCHOLOGY-BASED HETEROGENEOUS AGENT MODEL

2008 ◽  
Vol 11 (07) ◽  
pp. 717-737 ◽  
Author(s):  
HARBIR LAMBA ◽  
TIM SEAMAN
Keyword(s):  
Heterogeneous Agent ◽  
Agent Based ◽  
Agent Model ◽  
Fundamental Parameters ◽  
Market Participants ◽  
Information Stream ◽  
Momentum Trading ◽  
Real Market ◽  
Available Information ◽  
Parameter Values

We continue an investigation into a class of agent-based market models that are motivated by a psychologically-plausible form of bounded rationality. Some of the agents in an otherwise efficient hypothetical market are endowed with differing tolerances to the tension caused by being in the minority. This herding tendency may be due to purely psychological effects, momentum-trading strategies, or the rational response to perverse marketplace incentives. The resulting model has the important properties of being both very simple and insensitive to its small number of fundamental parameters. While it is most certainly a caricature market, with only boundedly rational traders and the globally available information stream being modeled directly, other market participants and effects are indirectly replicated. We show that all of the most important "stylized facts" of real market statistics are reproduced by this model. Another useful aspect of the model is that, for certain parameter values, it reduces to a standard efficient-market system. This allows us to isolate and observe the effects of particular kinds of non-rationality. To this end, we consider the effects of different asymmetries in agent behavior and show that one in particular leads to skew statistics consistent with those seen in some real financial markets.

The Effect of Merger and Acquisitions on the IS Function

2012 ◽  
pp. 157-168
Author(s):  
Andrea Genovese ◽  
Khole Gwebu ◽  
Barry Shore ◽  
Sebastian Titz ◽  
Venky Venkatachalam ◽  
...  
Keyword(s):  
Information Systems ◽  
Social System ◽  
Cost Savings ◽  
Merger And Acquisition ◽  
Integration Process ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Efficient Information ◽  
Merger And Acquisitions ◽  
Major Factors

Merger and acquisition (M&A) activity has many strategic and operational objectives. One operational objective is to develop common and efficient information systems that can be the source of creating significant cost savings for the joined companies. In combining the IS divisions of the acquiring firm with that of the acquired firm there are many hurdles when the technical and social system are to be integrated. Exactly how this process will evolve and exactly what results can be achieved is hard to determine. This chapter identifies some of the major factors associated with the integration process and proposes Agent Based Simulation as a possible methodology to study this phenomenon.

scholarly journals A population data-driven workflow for COVID-19 modeling and learning

2021 ◽  
Vol 35 (5) ◽  
pp. 483-499
Author(s):  
Jonathan Ozik ◽  
Justin M Wozniak ◽  
Nicholson Collier ◽  
Charles M Macal ◽  
Mickaël Binois
Keyword(s):  
Social Interactions ◽  
High Performance ◽  
Large Scale ◽  
Population Data ◽  
Crisis Response ◽  
Protective Behaviors ◽  
Activity Schedules ◽  
Heterogeneous Agent ◽  
Agent Based ◽  
Disease States

CityCOVID is a detailed agent-based model that represents the behaviors and social interactions of 2.7 million residents of Chicago as they move between and colocate in 1.2 million distinct places, including households, schools, workplaces, and hospitals, as determined by individual hourly activity schedules and dynamic behaviors such as isolating because of symptom onset. Disease progression dynamics incorporated within each agent track transitions between possible COVID-19 disease states, based on heterogeneous agent attributes, exposure through colocation, and effects of protective behaviors of individuals on viral transmissibility. Throughout the COVID-19 epidemic, CityCOVID model outputs have been provided to city, county, and state stakeholders in response to evolving decision-making priorities, while incorporating emerging information on SARS-CoV-2 epidemiology. Here we demonstrate our efforts in integrating our high-performance epidemiological simulation model with large-scale machine learning to develop a generalizable, flexible, and performant analytical platform for planning and crisis response.

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