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- Bhatt, Mehul, Professor, 1980-, et al.
(författare)
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Cognitive robotics
- 2016
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Ingår i: Journal of experimental and theoretical artificial intelligence (Print). - : Taylor & Francis Group. - 0952-813X .- 1362-3079. ; 28:5, s. 779-780
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Tidskriftsartikel (refereegranskat)
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| 2. |
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| 3. |
- Dodig-Crnkovic, Gordana
(författare)
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Floridi's informational structural realist basis for info-computational modelling of cognizing agents
- 2015
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Ingår i: Journal of experimental and theoretical artificial intelligence (Print). - 0952-813X .- 1362-3079. ; 27:1, s. 13-22
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Tidskriftsartikel (refereegranskat)abstract
- Informational structural realism, ISR (Floridi, 2008a), describes the reality as a complex informational structure for an epistemic agent interacting with the universe by the exchange of data as constraining affordances. In conjunction with naturalist computationalism - the view that the dynamics of the nature can be understood as computation - Floridi's ISR presents a basis for the construction of the unified framework of info-computationalism. In this framework, the fundamental mechanism of all natural computation is morphological computation, expressed as a process of information self-organisation, with information structure understood in the sense of Floridi's ISR. Recently, in robotics, morphological computing has been used for decentralised embodied control of robots. In this article, we describe how appropriate body morphology saves information-processing (computation) resources as well as enables learning through self-structuring of information in an epistemic, cognizing agent.
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| 4. |
- Mansouri, Masoumeh, 1985-, et al.
(författare)
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A robot sets a table : a case for hybrid reasoning with different types of knowledge
- 2016
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Ingår i: Journal of experimental and theoretical artificial intelligence (Print). - : Taylor & Francis. - 0952-813X .- 1362-3079. ; 28:5, s. 801-821
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Tidskriftsartikel (refereegranskat)abstract
- An important contribution of AI to Robotics is the model-centred approach, whereby competent robot behaviour stems from automated reasoning in models of the world which can be changed to suit different environments, physical capabilities and tasks. However models need to capture diverse (and often application-dependent) aspects of the robot's environment and capabilities. They must also have good computational properties, as robots need to reason while they act in response to perceived context. In this article, we investigate the use of a meta-CSP-based technique to interleave reasoning in diverse knowledge types. We reify the approach through a robotic waiter case study, for which a particular selection of spatial, temporal, resource and action KR formalisms is made. Using this case study, we discuss general principles pertaining to the selection of appropriate KR formalisms and jointly reasoning about them. The resulting integration is evaluated both formally and experimentally on real and simulated robotic platforms.
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| 5. |
- Zarei, F., et al.
(författare)
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A bootstrapping method for development of Treebank
- 2017
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Ingår i: Journal of experimental and theoretical artificial intelligence (Print). - 0952-813X .- 1362-3079. ; 29:1, s. 19-42
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Tidskriftsartikel (refereegranskat)abstract
- Using statistical approaches beside the traditional methods of natural language processing could significantly improve both the quality and performance of several natural language processing (NLP) tasks. The effective usage of these approaches is subject to the availability of the informative, accurate and detailed corpora on which the learners are trained. This article introduces a bootstrapping method for developing annotated corpora based on a complex and rich linguistically motivated elementary structure called supertag. To this end, a hybrid method for supertagging is proposed that combines both of the generative and discriminative methods of supertagging. The method was applied on a subset of Wall Street Journal (WSJ) in order to annotate its sentences with a set of linguistically motivated elementary structures of the English XTAG grammar that is using a lexicalised tree-adjoining grammar formalism. The empirical results confirm that the bootstrapping method provides a satisfactory way for annotating the English sentences with the mentioned structures. The experiments show that the method could automatically annotate about 20% of WSJ with the accuracy of F-measure about 80% of which is particularly 12% higher than the F-measure of the XTAG Treebank automatically generated from the approach proposed by Basirat and Faili [(2013). Bridge the gap between statistical and hand-crafted grammars. Computer Speech and Language, 27, 1085-1104].
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