B. A. Huberman and T. Hogg, "Communities of practice: performance and evolution ", Computational and Mathematical Organization Theory 1, (1995), 73-92. Home/Search Document Details and Download
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Designing the Process Design Process - Westerberg, Subrahmanian, Reich.. (1997) (1 citation) (Correct)
....outperforms any single strategy in searching for global optimal solutions to complex problems, an approach that may be very desirable if one does not want to be beaten soon by one s competition. For this approach, there are relevant studies on computational and mathematical models of organizations [Huberman, 1995; Epstien and Axtell, 1996] When reviewing design processes in industry, we find them to be very complex human activities even for routine products the company has designed for half a century. Fig. 2 shows the information flow for an electrical component manufacturing company we studied. The ....
Huberman, B. A., Hogg, T. (1995). Communities of practice: Performance and Evolution, Computational and Mathematical Organizational Theory, 1(1), 73-92.
Evolving Organizations of Agents - Goldman, Rosenschein (1997) (Correct)
....introspection and it concludes that it is unable to perform its tasks adequately. They didn t explain formally any specific mechanism, but they mention several examples of it based on the number of tasks, the importance of tasks, or the required time for resolving the problem. Huberman and Hogg (Huberman Hogg 1995) look into communities of practice, i.e. informal networks that generate their own norms and interaction patterns. They consider a group of individuals that are trying to solve a problem. Individuals can interact with one another, and they might do so with an interaction strength proportional to ....
Huberman, B. A., and Hogg, T. 1995. Communities of practice: Performance and evolution. Computational and Mathematical Organization Theory 1:73--92.
Enhancing Privacy and Trust in Electronic Communities - Huberman, Franklin, Hogg (1999) (8 citations) Self-citation (Huberman Hogg) (Correct)
....be used to create recommendations for other users and to identify similar individuals, thereby helping to make informal communities apparent. But while a great deal of economically useful information is distributed widely within groups of people such as large organizations, communities of practice[4], scientific communities and the economy at large, privacy issues make it hard to successfully exploit that knowledge. The limitations range from having to assess the quality of a recommendation from a group whose preferences might differ from the inquirer, to the natural reticence people have to ....
B. A. Huberman and T. Hogg, "Communities of practice: performance and evolution ", Computational and Mathematical Organization Theory 1, (1995), 73-92.
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