Foundations of Information Integration Theory

1982 ◽  
Vol 95 (4) ◽  
pp. 708 ◽  
Author(s):  
John S. Carroll ◽  
Norman H. Anderson
Keyword(s):  
Information Integration ◽  
Integration Theory ◽  
Information Integration Theory

scholarly journals The Evolution of Neuroplasticity and the Effect on Integrated Information

Entropy ◽  
2019 ◽  
Vol 21 (5) ◽  
pp. 524 ◽  
Author(s):  
Leigh Sheneman ◽  
Jory Schossau ◽  
Arend Hintze
Keyword(s):  
Information Integration ◽  
Functional Change ◽  
Darwinian Evolution ◽  
Integration Theory ◽  
Virtual Agents ◽  
Information Integration Theory ◽  
Feedback Learning ◽  
Internal States ◽  
The Many ◽  
Better Than

Information integration theory has been developed to quantify consciousness. Since conscious thought requires the integration of information, the degree of this integration can be used as a neural correlate (Φ) with the intent to measure degree of consciousness. Previous research has shown that the ability to integrate information can be improved by Darwinian evolution. The value Φ can change over many generations, and complex tasks require systems with at least a minimum Φ . This work was done using simple animats that were able to remember previous sensory inputs, but were incapable of fundamental change during their lifetime: actions were predetermined or instinctual. Here, we are interested in changes to Φ due to lifetime learning (also known as neuroplasticity). During lifetime learning, the system adapts to perform a task and necessitates a functional change, which in turn could change Φ . One can find arguments to expect one of three possible outcomes: Φ might remain constant, increase, or decrease due to learning. To resolve this, we need to observe systems that learn, but also improve their ability to learn over the many generations that Darwinian evolution requires. Quantifying Φ over the course of evolution, and over the course of their lifetimes, allows us to investigate how the ability to integrate information changes. To measure Φ , the internal states of the system must be experimentally observable. However, these states are notoriously difficult to observe in a natural system. Therefore, we use a computational model that not only evolves virtual agents (animats), but evolves animats to learn during their lifetime. We use this approach to show that a system that improves its performance due to feedback learning increases its ability to integrate information. In addition, we show that a system’s ability to increase Φ correlates with its ability to increase in performance. This suggests that systems that are very plastic regarding Φ learn better than those that are not.

scholarly journals Nuevas fronteras en la Teoría de la Integración Informativa

2016 ◽  
Vol 15 (3) ◽  
Author(s):  
Etienne Mullet ◽  
Yuval Wolf
Keyword(s):  
Functional Analysis ◽  
Information Integration ◽  
Western Europe ◽  
Cortical Activation ◽  
Integration Theory ◽  
Special Issue ◽  
Functional Measurement ◽  
Emotional Faces ◽  
Information Integration Theory ◽  
Selection Of

This special issue contains a selection of papers presented at the Fifth Biennial International Conference on Information Integration Theory and Functional Measurement held in Acre, Israel, on June 8-10, 2015. This conference gathered together more than twenty researchers from Israel and Western Europe. The studies reported in the papers they presented were applications of Information Integration Theory and Functional Measurement (IIT/FM, Anderson, 2008, 2012, 2013) to very diverse settings, ranging from neuropsychology (functional analysis of patterns of cortical activation in an integration task using pairs of emotional faces) to political science (functional analysis of emotional and behavioral responses to a terrorist plot against commercial flights).

scholarly journals Analisis Penyebab Karyawan Resign pada Project Perusahaan BPO (Business Process Outsourcing): Studi PT. Transcosmos Indonesia Project Tokopedia Semarang

REPRESENTAMEN ◽  
2021 ◽  
Vol 7 (01) ◽  
Author(s):  
Christine Purnamasari Andu
Keyword(s):  
Information Integration ◽  
Secondary Data ◽  
Primary Data ◽  
Integration Theory ◽  
Business Process Outsourcing ◽  
Information Integration Theory ◽  
Family Issue ◽  
Project Data ◽  
Many Sources ◽  
Theory Research

The research aims to know (1) The caused of the employee resignation at outsourcing company (2) The majority reasons of those resignation. This researchused qualitativemethod with research locationSemarang City. Data used for this were primary and secondary data. Primary data or main data is taken from the informants itself, while secondary data or additional data are collected from many sources such as books, journal, company’s notes and other valid source to support this research completion. Total informants weretwenty eight, based on employee’s data for resignation periode January 2020 – December 2020 at PT Transcosmos Indonesia (Tokopedia Semarang Project). Data collection were done by interviewed with those twenty eightinformants, then being analysed by two theoriessuch as Social Judge Theory and Information Integration Theory. Research showed that there were four (4) main reasons employee submitting resignation such as : getting a new job, family issue, health issue, and wanting to be an entrepreneur. Keywords : Company, Outsourcing, Resignation

Sizing up Consciousness

2018 ◽  
Author(s):  
Marcello Massimini ◽  
Giulio Tononi
Keyword(s):  
Information Integration ◽  
Cortical Neurons ◽  
General Rule ◽  
Integration Theory ◽  
Guiding Principle ◽  
Ethical Implications ◽  
Information Integration Theory ◽  
Brain Injured ◽  
Injured Patients ◽  
The Brain

Sizing up Consciousness explores, at an introductory level, the potential practical, clinical, and ethical implications of a general principle about the nature of consciousness. Using information integration theory (IIT) as a guiding principle, the book takes the reader along a scientific trajectory to face fundamental questions about the relationships between matter and experience. What is so special about a piece of flesh that can host a subject who sees light or experiences darkness? Why is the brain associated with a capacity for consciousness, but not the liver or the heart, as previous cultures believed? Why the thalamocortical system, but not other complicated neural structures? Why does consciousness fade during deep sleep, while cortical neurons remain active? Why does it recover, vivid, and intense, when the brain is disconnected from the external world during a dream? Can unresponsive patients with a functional island of cortex surrounded by widespread damage be conscious? Is a parrot that talks, or an octopus that learns and plays conscious? Can computers be conscious? Could a system behave like us and yet be devoid of consciousness—a zombie? The authors take on these basic questions by translating theoretical principles into anatomical observations, novel empirical measurements—such as an index of brain complexity that can be applied at the bedside of brain-injured patients—and thought experiments. The aim of the book is to describe, in an accessible way, a preliminary attempt to identify a general rule to size up the capacity for consciousness within the human skull and beyond.

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