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Joshua Bensemann

4 papers in the library · 2 citations · publishing 2021-2023

Papers

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Building the Blocks of Being: The Attributes and Qualities Required for Consciousness

Philosophies June 22, 2023 Izak Tait, Joshua Bensemann, Trung B. Nguyen

For consciousness to exist, an entity must have prerequisite characteristics and attributes to give rise to it. We explore these “building blocks” of consciousness in detail in this paper, which range from perceptive to computational to meta-representational characteristics of an entity’s cognitive architecture. We show how each cognitive attribute is strictly necessary for the emergence of...

Building the Blocks of Being: The Attributes and Qualities That Are Independently Required and Jointly Sufficient for Con-Sciousness

Preprints.org March 1, 2023 Izak Tait, Joshua Bensemann, Trung B. Nguyen 2 citations preprint

For consciousness to exist, an entity must have prerequisite characteristics and attributes to give rise to it. We explore these “building blocks” of consciousness in detail in this paper, which range from perceptive to computational to higher-order characteristics of an entity’s cognitive architecture. We show how each cognitive attribute is strictly necessary for the emergence of...

The effects of implementing phenomenology in a deep neural network.

Heliyon June 8, 2021 Joshua Bensemann, Michael Witbrock

There have been several recent attempts at using Artificial Intelligence systems to model aspects of consciousness (Gamez, 2008; Reggia, 2013). Deep Neural Networks have been given additional functionality in the present attempt, allowing them to emulate phenological aspects of consciousness by self-generating information representing multi-modal inputs as either sounds or images. We added...

DOI: 10.1016/j.heliyon.2021.e07246 (opens in new tab) Full text (opens in new tab) Neural network Hebbian learning Synthetic phenomenology

Evaluating Global Workspace Markers in Contemporary LLM Systems

Izak Tait, Benjamin Rode, Joshua Bensemann preprint

This paper operationalises Global Workspace Theory (GWT) into six testable markers (global availability, functional concurrency, coordinated selection, capacity limitation, persistence with controlled update, and goal-modulated arbitration) and applies them to contemporary large language model systems. We distinguish GWT-as-functional-architecture from GWT-as-consciousness-marker, adopting...