Home > Uncategorized > Weekly QuEST Discussion Topics and News, 1 July

Weekly QuEST Discussion Topics and News, 1 July

QuEST 1 July 2016:

We are extremely happy this week to have our colleague Sandy V – who SUCCESSFULLY defended her dissertation research last week to provide a discussion on her research.  As usual interactions are expected and appreciated.  Sandy has an accepted paper coming out in Biologically inspired computing architectures and also a presentation at the upcoming CogPsy meeting.

A Novel Machine Learning Classifier Based on a Qualia Modeling Agent (QMA)

This dissertation addresses a problem found in standard machine learning (ML) supervised classifiers, that the target variable, i.e., the variable a classifier predicts, has to be identified before training begins and cannot change during training and testing. This research develops a computational agent, which overcomes this problem.

The Qualia Modeling Agent (QMA) is modeled after two cognitive theories:

Stanovich’s tripartite framework, which proposes learning results from interactions between conscious and unconscious processes; and, the Integrated Information Theory (IIT) of Consciousness, which proposes that the fundamental structural elements of consciousness are qualia.

By modeling the informational relationships of qualia, the QMA allows for retaining and reasoning-over data sets in a non-ontological, non-hierarchical qualia space (QS). This novel computational approach supports concept drift, by allowing the target variable to change ad infinitum without re-training, resulting in a novel Transfer Learning (TL) methodology, while achieving classification accuracy comparable to or greater than benchmark classifiers. Additionally, the research produced a functioning model of Stanovich’s framework, and a computationally tractable working solution for a representation of qualia, which when exposed to new examples, is able to match the causal structure and generate new inferences.

news summary (17)

Categories: Uncategorized
  1. No comments yet.
  1. No trackbacks yet.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

%d bloggers like this: