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Published byWinifred Freeman Modified over 9 years ago
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Stochasticity 1 Incommensurate periodsPractically unpredictable Fundamentally indeterministicIllustrating memory-free processes
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2 Deterministic dynamics with incommensurate periods 2345678901 10 + ++++ + 50 Time interval Prevalence Sampling (explore different arrangements)
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Stochasticity 3 Incommensurate periodsPractically unpredictable Fundamentally indeterministicIllustrating memory-free processes
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Sampling (explore different arrangements) Unpredictability (in a practical sense) 4 Deterministic systems with practically unpredictable dynamics 2345678901 10 + ++++ +
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Stochasticity 5 Incommensurate periodsPractically unpredictable Fundamentally indeterministicIllustrating memory-free processes
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6 Unpredictability and indeterminism at a fundamental level 12340 5 When heterogeneous outcomes result from an initially homogeneous population of individually isolated fundamental objects, the systems are indeterministic.
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7 Unpredictability and indeterminism at a fundamental level 12340 5
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8 Aspects of stochasticity can manifest to varying degrees Indeteminism: Heterogeneous outcomes from an initially homogeneous population Practically unpredictable: Sensitive to initial conditions. Sampling: Both systems explore a variety of configurations
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9 Depicting the independent sampling of possibilities over time Memory-free (Markov) process: A variety of behaviors or “events” is possible in the upcoming short time interval, and the distribution of possible behaviors is not influenced by the time-sequence of configurations the system explored before the immediate present.
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10 Depicting the independent sampling of possibilities over time Memory-free (Markov) process: A variety of behaviors or “events” is possible in the upcoming short time interval, and the distribution of possible behaviors is not influenced by the time-sequence of configurations the system explored before the immediate present.
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11 Depicting the independent sampling of possibilities over time Memory-free (Markov) process: A variety of behaviors or “events” is possible in the upcoming short time interval, and the distribution of possible behaviors is not influenced by the time-sequence of configurations the system explored before the immediate present.
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