Towards an Epistemology of Interdependence Among the Orthogonal Roles in Human–Machine Teams

Foundations of Science 26 (1):129-142 (2019)
  Copy   BIBTEX

Abstract

Rational social theorists have failed to confirm that observations of social reality equal social reality. Yet they argue that teams, organizations and social systems should minimize interdependence and competition, echoed by social psychologists to make data iid. But the evidence indicates that competitive teams maximize interdependence; self-reports of social reality correlate poorly with social behavior; and only competition measures interdependent social states. Rational expectations aside, we report progress towards a science of interdependence for human–machine teams. Our model of interdependence works like an uncertainty principle in the sense that tradeoffs arise from the uncertainty caused by measuring interdependent actors in orthogonal roles; e.g., in the tradeoff between teams and individuals, teams are more productive but more opaque. Previously, we described interdependence as bistable stories of social reality; the motivation to reject alternative interpretations, increasing uncertainty and errors; and the inability to factor social states. Now we explore education as a surrogate for intelligence in teams. We hypothesized that teams rely on the education of its members to produce more patents. We found that the average schooling in a nation is significantly related to its total patents produced.

Other Versions

No versions found

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 97,335

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Can robots be teammates?Victoria Groom & Clifford Nass - 2007 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 8 (3):483-500.

Analytics

Added to PP
2019-10-28

Downloads
5 (#1,721,108)

6 months
4 (#1,457,267)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

William Frere Lawless
Paine College (Math & Psych)

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references