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Dynamic decision making research uses computer simulations which are laboratory analogues for real-life situations. These computer simulations are also called “microworlds” [4] and are used to examine people's behavior in simulated real world settings where people typically try to control a complex system where later decisions are affected by earlier decisions. [5]
In organizational theory, dynamic capability is the capability of an organization to purposefully adapt an organization's resource base. The concept was defined by David Teece, Gary Pisano and Amy Shuen, in their 1997 paper Dynamic Capabilities and Strategic Management, as the firm’s ability to engage in adapting, integrating, and reconfiguring internal and external organizational skills ...
The OneSAF Environment Runtime Component (ERC) updates presented in the 2009 OneSAF Users Conference mention that OneSAF 4.0 will include support for terrain deformation such as craters, tank defilades, infantry trenches, and breach holes in walls. OneSAF's dynamic terrain implementation will use a server to resolve dynamic terrain requests. [9]
Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent should take actions in a dynamic environment in order to maximize a reward signal.
An environment variable is a user-definable value that can affect the ... The dynamic linker will usually load code from locations specified by the environment ...
Market environment and business environment are marketing terms that refer to factors and forces that affect a firm's ability to build and maintain successful customer relationships. The business environment has been defined as "the totality of physical and social factors that are taken directly into consideration in the decision-making ...
A complex system is a system composed of many components which may interact with each other. [1] Examples of complex systems are Earth's global climate, organisms, the human brain, infrastructure such as power grid, transportation or communication systems, complex software and electronic systems, social and economic organizations (like cities), an ecosystem, a living cell, and, ultimately, for ...
The concept of a dynamical system has its origins in Newtonian mechanics.There, as in other natural sciences and engineering disciplines, the evolution rule of dynamical systems is an implicit relation that gives the state of the system for only a short time into the future.