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Collective Accuracy: Agent Based & Emergent vs Statistical and Assumed

Collective Accuracy: Agent Based & Emergent vs Statistical and Assumed

FromCenter for Advanced Studies (CAS) Research Focus Reduction and Emergence (LMU)


Collective Accuracy: Agent Based & Emergent vs Statistical and Assumed

FromCenter for Advanced Studies (CAS) Research Focus Reduction and Emergence (LMU)

ratings:
Length:
82 minutes
Released:
Dec 11, 2014
Format:
Podcast episode

Description

In the past two decades, agent-based models (ABMs) have become ubiquitous in philosophy and various sciences. ABMs have been applied, for example, to study the evolution of norms and language, to understand migration patterns of past civilizations, to investigate how population levels change in ecosystems over time, and more. In contrast with classical economic models or population-level models in biology, ABMs are praised for their lack of assumptions and their flexibility. Nonetheless, many of the methodological and epistemological questions raised by ABMs have yet to be fully articulated and answered. For example, there are unresolved debates about how to test (or "validate") ABMs, about the scope of their applicability in philosophy and the sciences, and about their implications or our understanding of reduction, emergence, and complexity in the sciences. This conference brings together an interdisciplinary group of researchers aimed at understanding the foundations of agent-based modeling and how the practice can inform and be informed by philosophy. | Center for Advanced Studies & Munich Center for Mathematical Philosophy: 11.12.2014 | Speaker: Scott Page
Released:
Dec 11, 2014
Format:
Podcast episode

Titles in the series (25)

Through the reduction of one theory or discipline to another, the results of the reduced theory or discipline can be obtained from the reducing one. In contrast, a theory that describes emergent phenomena is ostensibly autonomous: no other theory can be understood as providing a reducing basis. Questions of emergence and reduction determine how much one discipline can borrow from another, and, to a certain extent, what structures scientific theories in various disciplines can have. Successful reductions increase the epistemological importance of the reducing theories, and arguably their claim to research funding as well. If it is shown that a phenomenon is emergent, on the other hand, the discipline concerned with the emergent phenomenon is unlikely to be replaced by research in other fields, and thus requires its own funding. Furthermore, stronger relationships between the disciplines make it difficult to cast doubt on a small number of selected theories without affecting the rest of the sciences. This is important, for example, in the politically motivated, selective doubt of the theory of evolution, climate research, or genetic technology.