Skeptical Reasoning in FC-Normal Logic Programs is Π1 1
... of the collection of ground atomic statements of L is a model of the above clause if whenever it contains the ai ’s, it also contains c. It is a model of the program if it is a model of every clause of the program.) A program clause is an expression of the form c ← a1 , . . . , am , not b1 , . . . , ...
... of the collection of ground atomic statements of L is a model of the above clause if whenever it contains the ai ’s, it also contains c. It is a model of the program if it is a model of every clause of the program.) A program clause is an expression of the form c ← a1 , . . . , am , not b1 , . . . , ...
On the Sample Complexity of Reinforcement Learning with a Generative Model
... the above-mentioned gap between the lower bound and the upper bound, guarantee that no learning method, given the generative model of the MDP, can be significantly more efficient than QVI in terms of the sample complexity of estimating the action-value function. The main idea to improve the upper bo ...
... the above-mentioned gap between the lower bound and the upper bound, guarantee that no learning method, given the generative model of the MDP, can be significantly more efficient than QVI in terms of the sample complexity of estimating the action-value function. The main idea to improve the upper bo ...
Conceptual combination - City, University of London
... combination, and the more background knowledge appears to be required. Viewed from a philosophical point of view, it has been argued (Fodor, 1994) that none of the existing psychological models of concepts are adequate for giving a proper account of compositionality (and hence conceptual combination ...
... combination, and the more background knowledge appears to be required. Viewed from a philosophical point of view, it has been argued (Fodor, 1994) that none of the existing psychological models of concepts are adequate for giving a proper account of compositionality (and hence conceptual combination ...
Solving Complex Logistics Problems with Multi
... ANNs. Supervised ANNs learn under the supervision of a ‘teacher’, who knows what the right output should be and steers the learning process in this direction. Unsupervised ANNs learn only using input data during the training process and ANNs do not have any prior knowledge of the desired outcome. Th ...
... ANNs. Supervised ANNs learn under the supervision of a ‘teacher’, who knows what the right output should be and steers the learning process in this direction. Unsupervised ANNs learn only using input data during the training process and ANNs do not have any prior knowledge of the desired outcome. Th ...
Competitive Dynamics in Cortical Responses to Visual Stimuli
... network operated in what we termed normalization mode. If the strength of the inhibition was increased, the network entered an oscillatory mode in which the two pools were alternately active (Fig. 3B). At high inhibitory strength, the network operated in a winner-take-all mode in which only one pool ...
... network operated in what we termed normalization mode. If the strength of the inhibition was increased, the network entered an oscillatory mode in which the two pools were alternately active (Fig. 3B). At high inhibitory strength, the network operated in a winner-take-all mode in which only one pool ...
Aalborg Universitet Parameter learning in MTE networks using incomplete data
... represented by an MTE having the same structure as in Equation 3. The problem is that the split points would then be (linear) functions of at least one of the continuous variables, which is not consistent with the MTE framework (see ...
... represented by an MTE having the same structure as in Equation 3. The problem is that the split points would then be (linear) functions of at least one of the continuous variables, which is not consistent with the MTE framework (see ...
Coupled prediction of protein secondary and tertiary structure
... sequence alignments for the first time. The state-of-the-art PSIPRED program by Jones (16) uses position-specific scoring matrices obtained in PSIBLAST searches (17). The most accurate of these methods achieve a Q3 score between 75% and 80%, where Q3 is the percentage of amino acids correctly predic ...
... sequence alignments for the first time. The state-of-the-art PSIPRED program by Jones (16) uses position-specific scoring matrices obtained in PSIBLAST searches (17). The most accurate of these methods achieve a Q3 score between 75% and 80%, where Q3 is the percentage of amino acids correctly predic ...
14. Development and Plasticity
... Fig. 7.3 Different models of associative nodes resembling the principal architecture found in biological nervous systems such as (B) Purkinje cells in the cerebellum, which have strong input from climbing fibers through many hundreds or thousands of synapses. In contrast, the model as shown in (C) t ...
... Fig. 7.3 Different models of associative nodes resembling the principal architecture found in biological nervous systems such as (B) Purkinje cells in the cerebellum, which have strong input from climbing fibers through many hundreds or thousands of synapses. In contrast, the model as shown in (C) t ...
How an Agent Might Think
... tain restrictions on formulas used in knowledge bases. The situation is even worse, when nonmonotonic or multimodal formalisms are used in their full generality [3, 14, 20, 22, 24, 34]. Already in 4QL, extended in this paper, such forms of reasoning became tractable. This is achieved by restricting ...
... tain restrictions on formulas used in knowledge bases. The situation is even worse, when nonmonotonic or multimodal formalisms are used in their full generality [3, 14, 20, 22, 24, 34]. Already in 4QL, extended in this paper, such forms of reasoning became tractable. This is achieved by restricting ...
Tarek R. Besold, Kai
... After setting the context, this paper reports on new developments to our intelligent music agent, Handle, which was first introduced at C3GI 2012 in Montpellier, France. Handle is intended to operate as an artificial conductor, and to that end was developed to interpret and provide feedback on a hum ...
... After setting the context, this paper reports on new developments to our intelligent music agent, Handle, which was first introduced at C3GI 2012 in Montpellier, France. Handle is intended to operate as an artificial conductor, and to that end was developed to interpret and provide feedback on a hum ...
Graph Theoretical Analysis of Qualitative Models in Sustainability
... the representation of the solution set as a tree. The shape of the tree does not only depend on the model, but also on the order in which the qualitative states of the model are processed by the algorithm. In particular, this is the case for an envisionment, where the solution is not a tree in the g ...
... the representation of the solution set as a tree. The shape of the tree does not only depend on the model, but also on the order in which the qualitative states of the model are processed by the algorithm. In particular, this is the case for an envisionment, where the solution is not a tree in the g ...
Towards Detection of Brain Tumor in Electroencephalogram
... are highly contaminated with various artifacts. Artifacts in EEG records are caused by various factors, like line interference, EOG and ECG (electrocardiogram). These noise sources increase the difficulty in analyzing the EEG and thus obtaining effective clinical information. For this reason, it is ...
... are highly contaminated with various artifacts. Artifacts in EEG records are caused by various factors, like line interference, EOG and ECG (electrocardiogram). These noise sources increase the difficulty in analyzing the EEG and thus obtaining effective clinical information. For this reason, it is ...
Noise in Neurons and Other Constraints
... unchecked results in the build-up of correlated noise. Moreover, the whole nervous system operates in a continuous closed loop with the environment: from perception to action and back (see Fig. 8.2). Given this highly recurrent structure at all levels of biological organisation it is therefore impor ...
... unchecked results in the build-up of correlated noise. Moreover, the whole nervous system operates in a continuous closed loop with the environment: from perception to action and back (see Fig. 8.2). Given this highly recurrent structure at all levels of biological organisation it is therefore impor ...
![arXiv:1604.00289v3 [cs.AI] 2 Nov 2016](http://s1.studyres.com/store/data/003558001_1-ebbf1f5b4b7daca920a4ae5f6fdbbe61-300x300.png)
arXiv:1604.00289v3 [cs.AI] 2 Nov 2016
... & Prince, 1988). While we are critical of neural networks in this article, our goal is to build on their successes rather than dwell on their shortcomings. We see a role for neural networks in developing more human-like learning machines: They have been applied in compelling ways to many types of ma ...
... & Prince, 1988). While we are critical of neural networks in this article, our goal is to build on their successes rather than dwell on their shortcomings. We see a role for neural networks in developing more human-like learning machines: They have been applied in compelling ways to many types of ma ...
Sensitivity to sampling in Bayesian word learning
... with other competent speakers. However, the particular object chosen for labeling is informative about the word’s meaning, because it is presumed to be a random sample from the word’s positive extension. These dependencies are reversed under weak sampling. The choice of which object to label does no ...
... with other competent speakers. However, the particular object chosen for labeling is informative about the word’s meaning, because it is presumed to be a random sample from the word’s positive extension. These dependencies are reversed under weak sampling. The choice of which object to label does no ...
One Computer Scientist`s (Deep) Superior Colliculus
... through eons of evolution. The study of these solutions and their applications in technical settings is called biomimetics and it has been a driving force in many areas of research. Biomimetic approaches at various levels are attractive especially in robotics due to the similarity of the challenges ...
... through eons of evolution. The study of these solutions and their applications in technical settings is called biomimetics and it has been a driving force in many areas of research. Biomimetic approaches at various levels are attractive especially in robotics due to the similarity of the challenges ...