210 research outputs found
A Comparison of Different Cognitive Paradigms Using Simple Animats in a Virtual Laboratory, with Implications to the Notion of Cognition
In this thesis I present a virtual laboratory which implements five different models for controlling animats: a rule-based system, a behaviour-based system, a concept-based system, a neural network, and a Braitenberg architecture. Through different experiments, I compare the performance of the models and conclude that there is no best model, since different models are better for different things in different contexts. The models I chose, although quite simple, represent different approaches for studying cognition. Using the results as an empirical philosophical aid, I note that there is no best approach for studying cognition, since different approaches have all advantages and disadvantages, because they study different aspects of cognition from different contexts. This has implications for current debates on proper approaches for cognition: all approaches are a bit proper, but none will be proper enough. I draw remarks on the notion of cognition abstracting from all the approaches used to study it, and propose a simple classification for different types of cognition
Comments to Neutrosophy
Any system based on axioms is incomplete because the axioms cannot be
proven from the system, just believed. But one system can be less-incomplete than
other. Neutrosophy is less-incomplete than many other systems because it contains
them. But this does not mean that it is finished, and it can always be improved. The
comments presented here are an attempt to make Neutrosophy even less-incomplete.
I argue that less-incomplete ideas are more useful, since we cannot
perceive truth or falsity or indeterminacy independently of a context, and are
therefore relative. Absolute being and relative being are defined. Also the "silly
theorem problem" is posed, and its partial solution described. The issues arising
from the incompleteness of our contexts are presented. We also note the relativity
and dependance of logic to a context. We propose "metacontextuality" as a
paradigm for containing as many contexts as we can, in order to be less-incomplete
and discuss some possible consequences
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