http://popups.lib.uliege.be/1373-5411/index.php?id=2517 Publications of Auteurs Tatsuji Takahashi fr 0 http://popups.lib.uliege.be/1373-5411/index.php?id=3074 We present a single non-cellular finite automaton (FA) model exhibiting intermittency and criticality in a simple self-referential dynamics. Because of the correspondence of non-deterministic and deterministic FA to first and third person description, we can say that the model's dynamics is dialogue with oneself in second person. It gives rise to self-organizing behavior that is intermittent and critical. It is argued that the model is a scientific realization of deconstruction by Jacques Derrida. Fri, 06 Sep 2024 16:06:57 +0200 Tue, 08 Oct 2024 14:45:25 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=3074 http://popups.lib.uliege.be/1373-5411/index.php?id=3065 In incremental learning, it is necessary to conquer the dilemma of plasticity and stability. Because neural networks usually employ continuously distributed representation for state space, learning newly added data affects the existing memories. We apply a neural network with algebraic (lattice) structure to incremental learning, that has been proposed to model information processing in the dendrites of neurons. It has been proposed as a mathematical model of information processing in the dendrites of neurons. Because of the operation 'maximum' in lattice algebra weakening the continuously distributed representation, our proposed model succeeds in incremental learning. Fri, 06 Sep 2024 16:05:50 +0200 Fri, 06 Sep 2024 16:06:03 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=3065 http://popups.lib.uliege.be/1373-5411/index.php?id=3059 In studying human cognition, it is now broadly approved that the study of cognitive biases is indispensable. Among many cognitive biases proposed, we focus on two symmetrical biases: symmetry and mutual exclusivity bias. Implementing the two biases in a probabilistic framework on covariation information, we test our loosely symmetric (LS) model in word learning tasks, in comparison with the ordinary conditional probability and the totally symmetric/biased probability. LS is shown to break a trade-off in the three tasks. It is argued t hat LS is a model of development in the sense of Vygotsky, where top-down/deductive and bottom-up/inductive processes crisscross. Fri, 06 Sep 2024 16:05:19 +0200 Fri, 06 Sep 2024 16:05:27 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=3059 http://popups.lib.uliege.be/1373-5411/index.php?id=2511 The brain model is defined as a phenomenal computing consisting of explicit computing subsystem and its environment carrying the execution of computation. By introducing the modified infomorphism (Barwise & Seligman, 1997) as an operator between sub-systems, a model of phenomenal computing is expressed as a weak paradox. Such a model can explain genesis of module in a brain and duality of conscious explicit cognition and subconscious implicit perception in an abstract sense. Thu, 29 Aug 2024 11:19:44 +0200 Mon, 07 Oct 2024 15:54:20 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2511