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Journal ArticleDOI

Replicating agent-based models: Revisiting March’s exploration–exploitation study:

TLDR
A two-step method of model verification is suggested—beginning with replicating the model from the published description, then turning to the program code of the original implemented model to account for divergent results.
Abstract
To validate prior agent-based models, public disclosure of model code is necessary, but not sufficient. Conceptual model replication, involving independent reproduction of a model without referring...

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Computational models in systems biology: standards, dissemination, and best practices.

TL;DR: In this article , a review of existing standards for model specification and dissemination is presented, highlighting the most important areas where further work is required, including the specification of agent-based models, an increasingly common modeling approach.
Journal ArticleDOI

Back to the basics: reconciling the continuum and orthogonal conceptions of exploration and exploitation

TL;DR: It is demonstrated that the continuum conception concerns leveraging an organization’s internal knowledge heterogeneity where managers use their prior knowledge and experiences to formulate actions to attain the maximum possible extent of organizational knowledge at equilibrium.
Journal ArticleDOI

Collaboration exploitation and exploration: does a proactive search strategy matter?

TL;DR: In this paper, the authors show that the use of collaboration exploitation, exploration and balancing strategy of ambidexterity all improve a university's innovation and that proactive searching allows universities to leverage their collaboration exploitation and exploration.
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Knowledge Accumulation in Entrepreneurship

TL;DR: In this paper , the authors present a forum for articles that used different approaches to examine the literature for the purpose of accumulating knowledge on various facets of entrepreneurship and discuss the kinds of efforts needed to advance the state of knowledge of the field.
Journal ArticleDOI

A new approach to agent-based models of Community Resource Management based on the analysis of cheating, monitoring, and sanctioning

Maya M. Lapp, +1 more
- 01 Jun 2022 - 
TL;DR: In this paper , an agent-based model of community forest management that incorporates cheating and enforcement was evaluated and compared with real-world community-based natural resource management (CBNRM) systems.
References
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Journal ArticleDOI

Exploration and Exploitation in Organizational Learning

TL;DR: In this paper, the authors consider the relation between the exploration of new possibilities and the exploitation of old certainties in organizational learning and examine some complications in allocating resources between the two, particularly those introduced by the distribution of costs and benefits across time and space.
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A Garbage Can Model of Organizational Choice.

TL;DR: In this paper, an explicit computer simulation model of a garbage can decision process is presented, with the general implications of such a model described in terms of five major measures on the process.
Journal ArticleDOI

Adaptation on rugged landscapes

TL;DR: In this article, a simple model is developed to explore the interrelationship between processes of organizational level change and population selection forces, and the effect on organizational fitness of the various attributes that constitute an organization's form is interactive.
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Developing Theory Through Simulation Methods

TL;DR: A roadmap is developed that describes theory development using simulation and position simulation in the “sweet spot” between theory-creating methods, such as multiple case inductive studies and formal modeling, and theory-testing methods.
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Scientific Utopia II. Restructuring Incentives and Practices to Promote Truth Over Publishability

TL;DR: In this article, the authors develop strategies for improving scientific practices and knowledge accumulation that account for ordinary human motivations and biases, and demonstrate that the persistence of false findings can be mitigated with strategies that make the fundamental but abstract accuracy motive competitive with the more tangible and concrete incentive.
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