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Found 11 papers, 2 papers with code
System Integrated Information
Integrated information theory (IIT) starts from consciousness itself and identifies a set of properties (axioms) that are true of every conceivable experience.
Integrated information theory (IIT) 4.0: Formulating the properties of phenomenal existence in physical terms
IIT aims to account for the properties of experience in physical (operational) terms.
Only what exists can cause: An intrinsic view of free will
IIT's argument for true free will hinges on the proper understanding of consciousness as true existence, as captured by its intrinsic powers ontology: what truly exists, in physical terms, are intrinsic entities, and only what truly exists can cause.
What we are is more than what we do
If we take the subjective character of consciousness seriously, consciousness becomes a matter of "being" rather than "doing".
A macro agent and its actions
In science, macro level descriptions of the causal interactions within complex, dynamical systems are typically deemed convenient, but ultimately reducible to a complete causal account of the underlying micro constituents.
How swarm size during evolution impacts the behavior, generalizability, and brain complexity of animats performing a spatial navigation task
While it is relatively easy to imitate and evolve natural swarm behavior in simulations, less is known about the social characteristics of simulated, evolved swarms, such as the optimal (evolutionary) group size, why individuals in a swarm perform certain actions, and how behavior would change in swarms of different sizes.
The Role of Conditional Independence in the Evolution of Intelligent Systems
When these components have multiple outputs, we intuitively assume that the outputs are causally dependent on the inputs but are themselves independent of each other given the state of their shared input.
PyPhi: A toolbox for integrated information theory
Integrated information theory provides a mathematical framework to fully characterize the cause-effect structure of a physical system.
Markov Brains: A Technical Introduction
Markov Brains are a class of evolvable artificial neural networks (ANN).
What caused what? A quantitative account of actual causation using dynamical causal networks
Actual causation is concerned with the question "what caused what?"
A Tale of Two Animats: What does it take to have goals?
What does it take for a system, biological or not, to have goals?
