|Abstract||Human beings are masters of deception if they want to appear superior to others and to suggest that they have everything under control (see, e.g., Fingarette 2000, Mele 2000). Such self-delusions might be advantageous, because those are the most successful liars who believe their own lies. Although it seems paradoxical at first (for he who does not tell the untruth intentionally is, strictly speaking, not a liar at all), it rests upon a much more radical self-deception which is quite useful â€“ a systematic and continuous illusion regarding ourselves. Higher-order forms of self-consciousness, namely I-consciousness, are based on a feature which is called a self-model. This is an episodically active representational entity (e.g. a complex activation pattern in a human brain), the contents of which are properties of the system itself. It is embedded and constantly updated in a global model of the world, based on perceptions, memories, innate information etc. (Metzinger 1993). But because self-models cannot represent their own representations as their own representations as their own representations and so on ad infinitum, they are semantically transparent, i.e. on the level of their content they do not contain the information that they are models. Thus, such systems are not able to recognize their self-model as a self-model (Van Gulick 1988). The result is an ego-illusion, which is stable, coherent, and cannot be transcended on the level of conscious experience itself.|
|Keywords||No keywords specified (fix it)|
|Through your library||Only published papers are available at libraries|
Similar books and articles
Luis M. Augusto (2013). Unconscious Representations 1: Belying the Traditional Model of Human Cognition. Axiomathes:1-19.
Dan Lloyd (1995). Consciousness: A Connectionist Manifesto. Minds and Machines 5 (2):161-85.
Hakwan Lau (2008). A Higher Order Bayesian Decision Theory of Consciousness. In Rahul Banerjee & B. K. Chakrabarti (eds.), Models of Brain and Mind: Physical, Computational, and Psychological Approaches. Elsevier.
Annie Vinter & Pierre Perruchet (1999). What About Consciousness During Learning? Behavioral and Brain Sciences 22 (1):173-173.
Saskia van Dantzig, Antonino Raffone & Bernhard Hommel (2011). Acquiring Contextualized Concepts: A Connectionist Approach. Cognitive Science 35 (6):1162-1189.
William P. Bechtel (1988). Connectionism and Rules and Representation Systems: Are They Compatible? Philosophical Psychology 1 (1):5-16.
Gregg Caruso (2012). Free Will and Consciousness: A Determinist Account of the Illusion of Free Will. Lexington Books.
Brian Riordan & Michael N. Jones (2011). Redundancy in Perceptual and Linguistic Experience: Comparing Feature-Based and Distributional Models of Semantic Representation. Topics in Cognitive Science 3 (2):303-345.
Nancy J. Nersessian (2006). Model-Based Reasoning in Distributed Cognitive Systems. Philosophy of Science 73 (5):699-709.
Max Velmans (1999). Neural Activation, Information, and Phenomenal Consciousness. Behavioral and Brain Sciences 22 (1):172-173.
Martijn Meeter, Janneke Jehee & Jaap Murre (2007). Neural Models That Convince: Model Hierarchies and Other Strategies to Bridge the Gap Between Behavior and the Brain. Philosophical Psychology 20 (6):749 – 772.
Added to index2010-11-17
Total downloads9 ( #113,941 of 548,984 )
Recent downloads (6 months)2 ( #37,320 of 548,984 )
How can I increase my downloads?