The Notion of Formal Logic
... The term «Fornjal Logic» is rather common among modem authors, both scholastic and non-scholastic. In spite of the frequent use of this term, Formal Logic seems to be a science whose nature has not been made clear, as is evident from the various meanings attributed to it by different authors and fro ...
... The term «Fornjal Logic» is rather common among modem authors, both scholastic and non-scholastic. In spite of the frequent use of this term, Formal Logic seems to be a science whose nature has not been made clear, as is evident from the various meanings attributed to it by different authors and fro ...
Molecular Mechanisms of Learning and Memory
... Copyright © 2007 Wolters Kluwer Health | Lippincott Williams & Wilkins ...
... Copyright © 2007 Wolters Kluwer Health | Lippincott Williams & Wilkins ...
E-connections of Description Logics
... 1 ⊆ t2 for all t1 v t2 ∈ Γ. It is not hard to see that this corresponds to the satisfiability of concepts with respect to general TBoxes. Indeed, the presented transfer results do only apply to DLs for which reasoning with respect to general TBoxes is decidable. Let S1 and S2 be two ADSs that are to ...
... 1 ⊆ t2 for all t1 v t2 ∈ Γ. It is not hard to see that this corresponds to the satisfiability of concepts with respect to general TBoxes. Indeed, the presented transfer results do only apply to DLs for which reasoning with respect to general TBoxes is decidable. Let S1 and S2 be two ADSs that are to ...
Neural Network Benchmark for SMORN-VII
... the literature. It is claimed that it resembles the brain in some respects. In this context neural network can be defined as follows. A neural network is a distributed information processor where structural information can be stored and can be made available for use in later reference. It resembles ...
... the literature. It is claimed that it resembles the brain in some respects. In this context neural network can be defined as follows. A neural network is a distributed information processor where structural information can be stored and can be made available for use in later reference. It resembles ...
Imitation as Faithful Copying of a Novel Technique in Marmoset
... that action imitation is not an ability restricted to humans or the great apes, but that it has a much longer evolutionary record [23,24]. Second, it provides evidence that monkeys possess a neuronal mechanism for directly transforming a visual representation of an action into motor output or can ad ...
... that action imitation is not an ability restricted to humans or the great apes, but that it has a much longer evolutionary record [23,24]. Second, it provides evidence that monkeys possess a neuronal mechanism for directly transforming a visual representation of an action into motor output or can ad ...
Logic and Complexity in Cognitive Science
... evolutionary timescale, and not via analysis of underlying mechanisms. However, Marr’s three-level system can only be applied relative to a particular computational question. For instance, a particular pattern of neural wiring may implement an algorithm which performs the computational function of d ...
... evolutionary timescale, and not via analysis of underlying mechanisms. However, Marr’s three-level system can only be applied relative to a particular computational question. For instance, a particular pattern of neural wiring may implement an algorithm which performs the computational function of d ...
Searching for Arthur Koestler`s Holons – a systemstheoretical
... From a general point of view, such networks are hierarchical systems forming a kind of multilayer model. Its nodes (e.g., an artificial neuron) could be considered as holons in the sense of Koestler. After a learning phase artificial neural networks perform an operation in the sense of Koestler’s ou ...
... From a general point of view, such networks are hierarchical systems forming a kind of multilayer model. Its nodes (e.g., an artificial neuron) could be considered as holons in the sense of Koestler. After a learning phase artificial neural networks perform an operation in the sense of Koestler’s ou ...
T2 - Center for Neural Basis of Cognition
... Remapping in humans produces activity in the hemisphere ipsilateral to the stimulus. Remapped activity is present in human parietal, extrastriate and striate cortex. Remapped visual signals are more prevalent at higher levels of the visual system hierarchy. Remapping occurs in parietal and visual co ...
... Remapping in humans produces activity in the hemisphere ipsilateral to the stimulus. Remapped activity is present in human parietal, extrastriate and striate cortex. Remapped visual signals are more prevalent at higher levels of the visual system hierarchy. Remapping occurs in parietal and visual co ...
From/To LTM - Ohio University
... Mountcastle as a minicolumn organization [1][3], supports the biological intelligence building in human neocortex. Neurons on different layers of minicolumns are proposed to have specific function in the interaction between STM and LTM. When retrieving information from LTM to STM, particular lay ...
... Mountcastle as a minicolumn organization [1][3], supports the biological intelligence building in human neocortex. Neurons on different layers of minicolumns are proposed to have specific function in the interaction between STM and LTM. When retrieving information from LTM to STM, particular lay ...
Classification of jobs with risk of low back disorders by applying data
... patterns, rules, relationships, rare events, correlations, and deviations in data [9]. This process relies on well-established technologies, such as machine learning, pattern recognition, statistics, neural networks, fuzzy logic, evolutionary computing, database theory, artificial intelligence, and ...
... patterns, rules, relationships, rare events, correlations, and deviations in data [9]. This process relies on well-established technologies, such as machine learning, pattern recognition, statistics, neural networks, fuzzy logic, evolutionary computing, database theory, artificial intelligence, and ...
Influence-Based Abstraction for Multiagent Systems Please share
... that any fPOSG can be converted to an LFM (although it may lead to the introduction of additional state factors). Theorem 1. Any fPOSG M can be converted to an equivalent problem in local form. Proof. Trivially, any fPOSG can be converted to a POSG by flattening the state representation. Here we wil ...
... that any fPOSG can be converted to an LFM (although it may lead to the introduction of additional state factors). Theorem 1. Any fPOSG M can be converted to an equivalent problem in local form. Proof. Trivially, any fPOSG can be converted to a POSG by flattening the state representation. Here we wil ...
Probabilistic Inductive Logic Programming
... with first order logic representations and machine learning. A rich variety of different formalisms and learning techniques have been developed. In the present paper, we start from inductive logic programming and sketch how it can be extended with probabilistic methods. More precisely, we outline th ...
... with first order logic representations and machine learning. A rich variety of different formalisms and learning techniques have been developed. In the present paper, we start from inductive logic programming and sketch how it can be extended with probabilistic methods. More precisely, we outline th ...
Reasoning and learning by analogy: Introduction.
... new under the sun." The "illusion of familiarity," as it might be called, depends on the power of the human mind to find--and, if necessary, to create--similarities between past experiences and the present situation. Perceived similarities enable one to organize objects and events into familiar cate ...
... new under the sun." The "illusion of familiarity," as it might be called, depends on the power of the human mind to find--and, if necessary, to create--similarities between past experiences and the present situation. Perceived similarities enable one to organize objects and events into familiar cate ...
self-organising map
... neuron in the lattice corresponds to a particular domain or feature of the input patterns. variations in the statistics of the input distribution: regions in the input space H from which sample vectors CS 476: Networks of Neural Computation, CSD, UOC, 2009 ...
... neuron in the lattice corresponds to a particular domain or feature of the input patterns. variations in the statistics of the input distribution: regions in the input space H from which sample vectors CS 476: Networks of Neural Computation, CSD, UOC, 2009 ...
A Case for a Situationally Adaptive Many
... situational settings. B. SAS: Situationally Adaptive Scheduler Using the choices described earlier, we formulate the proposed situational scheduler that caters for software and hardware using input situations. Various inputs and architectural combinations combine into an extremely large number of po ...
... situational settings. B. SAS: Situationally Adaptive Scheduler Using the choices described earlier, we formulate the proposed situational scheduler that caters for software and hardware using input situations. Various inputs and architectural combinations combine into an extremely large number of po ...
Influence-based Abstraction for Multiagent Systems
... that any fPOSG can be converted to an LFM (although it may lead to the introduction of additional state factors). Theorem 1. Any fPOSG M can be converted to an equivalent problem in local form. Proof. Trivially, any fPOSG can be converted to a POSG by flattening the state representation. Here we wil ...
... that any fPOSG can be converted to an LFM (although it may lead to the introduction of additional state factors). Theorem 1. Any fPOSG M can be converted to an equivalent problem in local form. Proof. Trivially, any fPOSG can be converted to a POSG by flattening the state representation. Here we wil ...