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Nonnegative Decomposition of Multivariate Information
TLDR
This work reconsider from first principles the general structure of the information that a set of sources provides about a given variable and proposes a definition of partial information atoms that exhaustively decompose the Shannon information in a multivariate system in terms of the redundancy between synergies of subsets of the sources.
Practice Guidelines for the Treatment of Coccidioidomycosis
TLDR
Management of patients diagnosed with coccidioidomycosis involves defining the extent of infection and assessing host factors that predispose to disease severity, which may include antifungal therapy, surgical debridement, or both.
Information Processing and Dynamics in Minimally Cognitive Agents
TLDR
A framework for directly relating these two different styles of explanation using a model agent evolved to solve a relational categorization task is proposed and the possible implications of the analysis for some of the ongoing debates in cognitive science are discussed.
Generalized Measures of Information Transfer
TLDR
This work distinguishes state-dependent from state-independent transfer, based on whether a source's influence depends on the state of the target, and distinguishes between unique, redundant, and synergistic transfer for multiple sources.
Information Dynamics of Evolved Agents
TLDR
A novel information-theoretic approach for analyzing the dynamics of information flow in embodied systems is formulated and applied to analyze a previously evolved model of relational categorization.
Partial information decomposition as a spatiotemporal filter.
TLDR
This work utilizes the new technique of partial information decomposition to show that previous information-theoretic measures can confound distinct sources of information, and proposes a new set of filters that more cleanly separate out the background domains, particles, and collisions that are typically associated with information storage, transfer, and modification in cellular automata.
Towards a synergy-based approach to measuring information modification
TLDR
This work outlines how a recently-introduced axiomatic framework for measuring information redundancy and synergy, called partial information decomposition, can be applied to a perspective of distributed computation in order to quantify component operations on information.
Evolving Referential Communication in Embodied Dynamical Agents
TLDR
The results from these experiments demonstrate a variety of successful communication strategies, providing a first step towards understanding the emergence of referential communication in terms of coordinated behavioral interactions.
Environmental Feedback Drives Multiple Behaviors from the Same Neural Circuiti>Paul Williams, Randall BeerAbstract and Article Download
TLDR
The best evolved agent is found to produce significantly different motor outputs in each of the three conditions, to rely on continuous environmental feedback for successful behavior, and to switch flexibly between different behavioral conditions.
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