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PyPhi — v0.8.1 documentation

PyPhi is a Python library for computing integrated information. To report issues, please use the issue tracker on the GitHub repository. Bug reports and pull requests are welcome. Object is the main object on which computations are performed. It represents the network of interest. Object is the secondary object; it represents a subsystem of a network. ( Phi ). Is defined on subsystems. Module, so you can follow along in a REPL. The relevant functions are listed at the beginning of each example.

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PyPhi — v0.8.1 documentation | pyphi.readthedocs.io Reviews

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PyPhi is a Python library for computing integrated information. To report issues, please use the issue tracker on the GitHub repository. Bug reports and pull requests are welcome. Object is the main object on which computations are performed. It represents the network of interest. Object is the secondary object; it represents a subsystem of a network. ( Phi ). Is defined on subsystems. Module, so you can follow along in a REPL. The relevant functions are listed at the beginning of each example.

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PyPhi — v0.8.1 documentation | pyphi.readthedocs.io Reviews

https://pyphi.readthedocs.io

PyPhi is a Python library for computing integrated information. To report issues, please use the issue tracker on the GitHub repository. Bug reports and pull requests are welcome. Object is the main object on which computations are performed. It represents the network of interest. Object is the secondary object; it represents a subsystem of a network. ( Phi ). Is defined on subsystems. Module, so you can follow along in a REPL. The relevant functions are listed at the beginning of each example.

INTERNAL PAGES

pyphi.readthedocs.io

1

Magic Cuts — v0.8.1 documentation

http://pyphi.readthedocs.io/en/latest/examples/magic_cut.html

IIT 30 Paper (2014). Emergence (coarse-graining and blackboxing). This example explores a system of three fully connected elements (A ). Which follow the logic of the Rule 110 cellular automaton. The point of this example is to highlight an unexpected behaviour of system cuts: that the minimum information partition of a system can result in new concepts being created. First let’s create the the Rule 110 network, with all nodes OFF. In the current state. Subsystem( n0, n1, n2). The unpartitioned constella...

2

API Reference — v0.8.1 documentation

http://pyphi.readthedocs.io/en/latest/api/index.html

PyPhi API documentation, autogenerated from the source code. Provided by Read the Docs. On Read the Docs. Free document hosting provided by Read the Docs.

3

Emergence (coarse-graining and blackboxing) — v0.8.1 documentation

http://pyphi.readthedocs.io/en/latest/examples/emergence.html

IIT 30 Paper (2014). Emergence (coarse-graining and blackboxing). Emergence (coarse-graining and blackboxing). Emergence (coarse-graining and blackboxing). We’ll use the. Module to explore alternate spatial scales of a network. The network under consideration is a 4-node non-deterministic network, available from the. The connectivity matrix is all-to-all:. Array([ 1., 1., 1., 1.],. 1, 1, 1., 1.],. 1, 1, 1., 1.],. 1, 1, 1., 1.] ). We’ll set the state so that nodes are OFF. Specifies two fields: the. We mu...

4

network — v0.8.1 documentation

http://pyphi.readthedocs.io/en/latest/api/network.html

Represents the network of interest. This is the primary object of PyPhi and the context of all ( varphi ). And ( Phi ). Make a numpy array immutable. A network of nodes. Represents the network we’re analyzing and holds auxilary data about it. The transition probability matrix of the network. The TPM can be provided in either state-by-node (either (2 ). Or state-by-state form. In either form, row indices must follow the LOLI. Convention (see discussion in the. Or in (N ). Form, so that. 8211; The network&...

5

Conditional Independence — v0.8.1 documentation

http://pyphi.readthedocs.io/en/latest/examples/conditional_independence.html

IIT 30 Paper (2014). Emergence (coarse-graining and blackboxing). Pyphiexamples.cond depend tpm(). Pyphiexamples.cond independ tpm(). This example explores the assumption of conditional independence, and the behaviour of the program when it is not satisfied. Consider a system of two binary nodes( (A ). Which do not change if they have the same value, but flip with probability 50% if they have different values. We’ll load the state-by-state TPM for such a system from the examples module:. 1 0 0 0. ].

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pyphi.readthedocs.io

PyPhi — v0.8.1 documentation

PyPhi is a Python library for computing integrated information. To report issues, please use the issue tracker on the GitHub repository. Bug reports and pull requests are welcome. Object is the main object on which computations are performed. It represents the network of interest. Object is the secondary object; it represents a subsystem of a network. ( Phi ). Is defined on subsystems. Module, so you can follow along in a REPL. The relevant functions are listed at the beginning of each example.

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