Abstract. Recurrent Neural Network (RNN) models have been shown to perform well on artificial gra... more Abstract. Recurrent Neural Network (RNN) models have been shown to perform well on artificial grammars for sequential classification tasks over long-term time-dependencies. However, there is a distinct lack of the application of RNNs to real-world text classification tasks. This ...
... are a characteristic of our system and this is implemented by purely sub-symbolic means ... T... more ... are a characteristic of our system and this is implemented by purely sub-symbolic means ... Theserepresentations are developed independently of the reasoning process itself and can be interchanged with other ... It also provides as output the actual implementation of an action plan ...
Presented is further development of the architecture pre-sented in [1] where a top-down feature-b... more Presented is further development of the architecture pre-sented in [1] where a top-down feature-based and spatial attention have been incorporated in a large scale visual module and novelty and familiarity detectors based on the model presented in [2]. These have been developed in the perceptual (visual and auditory) and motor modal-ities. In addition to the novelty/familiarity detection shown in [2,3], the architecture is able to partially recog-nise familiar features in each perceptual modality, and furthermore in a distributed fashion activate associated familiar features from one perceptual modality to another and/or to the motor programmes and affordances. The architecture is implemented on a mobile robot operating in a dynamic environment. The proposed distributed multi-modal familiarity detection integrated in the archi-
Abstract. Recurrent Neural Network (RNN) models have been shown to perform well on artificial gra... more Abstract. Recurrent Neural Network (RNN) models have been shown to perform well on artificial grammars for sequential classification tasks over long-term time-dependencies. However, there is a distinct lack of the application of RNNs to real-world text classification tasks. This ...
... are a characteristic of our system and this is implemented by purely sub-symbolic means ... T... more ... are a characteristic of our system and this is implemented by purely sub-symbolic means ... Theserepresentations are developed independently of the reasoning process itself and can be interchanged with other ... It also provides as output the actual implementation of an action plan ...
Presented is further development of the architecture pre-sented in [1] where a top-down feature-b... more Presented is further development of the architecture pre-sented in [1] where a top-down feature-based and spatial attention have been incorporated in a large scale visual module and novelty and familiarity detectors based on the model presented in [2]. These have been developed in the perceptual (visual and auditory) and motor modal-ities. In addition to the novelty/familiarity detection shown in [2,3], the architecture is able to partially recog-nise familiar features in each perceptual modality, and furthermore in a distributed fashion activate associated familiar features from one perceptual modality to another and/or to the motor programmes and affordances. The architecture is implemented on a mobile robot operating in a dynamic environment. The proposed distributed multi-modal familiarity detection integrated in the archi-
Uploads