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The measurement problem in artificial world models.

¹Systems Science Department, State University of New York, Binghamton 13901.

|January 1, 1989

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Organisms interact with the world via evolution and learning. Simulating these processes is difficult because they cannot be fully formalized for artificial world models, impacting computation and physics understanding.

Area of Science:

Epistemology
Evolutionary Biology
Physics
Computer Science
Philosophy of Computation

Background:

Epistemic relations between organisms and the world are primarily established through evolution by natural selection and learning via observation and measurement.
In physics, measurement involves mapping physical structures to symbolic representations, a process that is not fully understood or formalized.
Simulating complex biological and physical processes like evolution and measurement presents significant formalization challenges.

Purpose of the Study:

To explore the fundamental challenges in formalizing evolution and measurement for artificial world models.
To investigate the limitations imposed by programmable computers on simulating these epistemic processes.
To examine the implications of the measurement problem for the relationship between computation, physics, and formal systems.

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Main Methods:

Conceptual analysis of epistemic relations in biological and physical systems.
Examination of the formalization requirements for artificial world models.
Exploration of the measurement problem within the context of computation and physics.

Main Results:

Neither evolution nor measurement can be adequately formalized for simulation within current artificial world models.
Programmable computers necessitate formalized symbol domains, inherently limiting the scope of simulated evolution and measurement.
The difficulties in formalizing measurement raise questions about the nature of computation and its relationship to physical laws.

Conclusions:

Formalizing evolution and measurement is a critical hurdle for developing comprehensive artificial world models.
The inherent limitations of formal systems impact our understanding of computation's role in physics.
Further research is needed to clarify the utility of concepts like dissipationless computation in light of these challenges.