Carnegie Mellon University

CASOS Center

Center for Computational Analysis of Social and Organizational Systems

CASOS Center

OrgAhead

A Simulation of Organizational Adaptation

OrgAhead is an organizational learning model designed to test different forms of organizations under a common task representation. Each member of the organization receives information from a subordinate or from the environment, makes a decision based on the information and what he or she has learned so far, and provides superiors with an answer to the decision. These decisions are either `yes/no' or `yes/maybe/no'; again, we're dealing with an intellective model.

Virtual experiments are run to address a variety of questions regarding organizational learning and performance including the following:

  • How do various constraints affect the performance of the organization? These constraints may include
    • size of the organization,
    • resources agents can manage at once, and
    • how much memory, or history, each agent can retain.
  • Do the structures of adaptive organizations (i.e. those that perform higher) radically differ from those that are maladaptive?
  • Does initial learning, or training, have long-term effects?

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Support is provided in part by:

- The National Science Foundation IGERT NSF KDI IIS-9980109 and NSF IGERT 9972762 in CASOS
- The Army Research Labs - study on "Personnel Turnover and Team Performance"
- The Office of Naval Research (ONR) 1681-1-1001944

Views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Labs, Office of Naval Research, the National Science Foundation, or the U.S. government.