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Information at Ockham’s Razor

Symposium: Philosophy of Artificial Intelligence: Needs for New Foundations on the 4th National Conference on the Philosophy of Science, December 2016, Athens, Greece. DOI: 10.13140/RG.2.2.21523.12325

Following the critique of Dreyfus, this announcement focuses on the argument that terms such as “processing”, “calculation” or “flow” of information etc, when used -literally and not figuratively- in order to describe mechanisms that govern systems of different nature, lead to an abusive multiplication of entities without offering (at least until now) any satisfactory solutions towards the convergence of the HC and AI scientific fields.

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Can we talk about Intentionality in Eliminative Materialism? The point of view of Embodied Cognition Theories

3rd National Conference on the Philosophy of Science, November 2014, Athens, Greece. DOI: 10.13140/RG.2.2.18587.11041

Today, the problem of intentionality is becoming again relevant in the realm of cognitive science, as during the past decade, important views on embodied cognition attract interest, eliminating mental phenomena and internal representations, broadening the horizon of eliminative theories at the same time. However, the philosophical tradition of these positions on embodied cognition, situated largely on phenomenology, gives intentionality a key role.

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Why is Artificial Intelligence the greatest technological revolution in history?

The fourth industrial revolution redefines the relationship between the natural and the technological, shedding new light on Kubrick’s «monolith», which seems to be rooted in the very essence of human nature. This emerging condition raises important questions about human action, moral responsibility, and the nature of cognition itself. [ATHENS VOICE, 2025]

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Why do we need a Unified Theory of Embodied Cognition?

Presentation for the 94th Joint Session of the Mind Association and the Aristotelian Society. University of Kent, July 2020. Online Open Session. DOI: 10.13140/RG.2.2.11933.74729

The range, diversity and the different metaphysical assumptions of Embodied Cognition (EC) hypotheses that have been formulated in recent years, a) do not allow for their pragmatic, problem-solving oriented adoption by Cognitive Science and (b) favor their fragmentary use by various scientific and practical fields, resulting in misunderstandings concerning their content and validity.

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Heidegger, Neurosciences and the Exemption from the Descartes' Error

Philosophy and Neurosciences, Dasein Lab Workshop, April 2011, Athens, Greece. DOI: 10.13140/RG.2.2.21334.70727

In my paper I present the convergence of Heideggerian theory and Cognitive Neurosciences and at the same time I attempt to formulate a hypothesis for the naturalistic foundation of meaning, as a property of human intelligence.

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Heidegger and Motorcycle Riding: The notions of embodied cognition and skillful coping as a research topic in Cognitive Sciences

3rd National Conference on Cognitive Science, June 2011, Paros, Greece

In this announcement I focus on embodied cognition and skillful coping, and especially the way man, while using tools and objects, interacts with his world and renders himself at the same structural level with it, eliminating -in a sense- the distinction between agent and the world. 

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A Naturalistic Explanation of Meaning within Embodied Cognition Theories

 2nd National Conference on the Philosophy of Science, November 2012, Athens, Greece. DOI: 10.13140/RG.2.2.12610.22723/1

This announcement includes: [a] a brief critical survey of the main characteristics that various scientific and philosophical views accredit to embodied cognition and the process of signification, [b] the consequences of these positions regarding the definition of the concept of meaning and [c] a new interpretation for “meaning” as a systemic property of embodied cognition.

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Heidegger and Artificial Intelligence

Dasein Lab Workshop, 2010

An introduction to Heideggerian Artificial Intelligence on the occasion of the translation in Greek of the proposal by Hubert Dreyfus (2007): “Why Heideggerian AI failed and how fixing it would require making it more Heideggerian”.

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