| 1. |
- Bhatt, Mehul, Professor, 1980-, et al.
(författare)
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A General Framework Based on Dynamic Constraints for the Enrichment of a Topological Theory of Spatial Simulation
- 2005
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Ingår i: Knowledge-Based Intelligent Information and Engineering Systems. - Berlin, Heidelberg : Springer. - 9783540288978 - 9783540319979 ; , s. 366-373
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Konferensbidrag (refereegranskat)abstract
- Qualitative spatial representation and reasoning has emerged as a major sub-field of AI in the past decade. An important research problem within the field is that of integrated reasoning about various spatial aspects such as distance, size, topology etc - an important application here being the qualitative simulation of physical processes. Approaches based on topology alone fail to provide an explicit account of other important aspects of spatial change thereby also not utilizing dynamically available information pertaining to them. Our work in this paper is based on the idea that a general theory of spatial simulation based on topological changes alone can be enriched by the inclusion of sub-theories relevant to other aspects of spatial change. We propose a general framework consisting of dynamic constraints for the enrichment of a topological theory of spatial changes. We propose the utilisation of such dynamic constraints for the incorporation of dynamically available information relevant to various aspects of space thereby making that aspect explicit in the theory. As an example of the proposed approach, we integrate dynamically available information pertaining to motion and size with the topological theory of RCC-8 using our framework of dynamic constraints.
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| 2. |
- Bhatt, Mehul, Professor, 1980-, et al.
(författare)
-
Situation Awareness in Synthetic Environments : Towards a Computational Model
- 2005
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Ingår i: Proceedings of the 2nd Indian International Conference on Artificial Intelligence, Pune, India, December 20-22, 2005. - : IICAI. - 0972741216 - 9780972741217 ; , s. 3556-3575
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Konferensbidrag (refereegranskat)abstract
- The simulation of the behaviour of autonomous entities in space is an interesting research method to advance our understanding of the interaction of human beings with the environment. Although rather complex cognitive models of human-level Situation Awareness (SA) in dynamic environments exist, computational approaches to represent the same remain at best ad-hoc - cognitively inadequate or bearing little or no resemblance to the qualitative manner in which humans seemingly represent & reason about knowledge. The aim of our research is to investigate the computational aspects of situation awareness of autonomous entities in large-scale simulated spaces, called Synthetic Environments (SE). This is done within the scope of an understanding of situation awareness that encompasses common-sense conceptual reasoning and integrated qualitative reasoning about space, time & causality As a product of our research, we envisage to develop a logic based computational framework based on a unified representational semantics for space, time & causality - the essence of which is a process model involving abstract ontological commitments involving spatial, temporal and action event oriented concepts, alongwith a capability to handle concurrent and continuous phenomena. The framework, which is representative of our model of situation awareness, will be most beneficial for systems involving the representation of physical and/or intelligent autonomous processes. However, as an exemplar of our approach, we are interested in applying the framework for the representation of autonomous behaviour in defence Modelling & Simulation (M&S) applications.
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| 3. |
- Bhatt, Mehul, Professor, 1980-, et al.
(författare)
-
Synthetic Environment Representational Semantics Using the Web Ontology Language
- 2005
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Ingår i: Intelligent Data Engineering and Automated Learning - IDEAL 2005. - Berlin, Heidelberg : Springer. - 9783540269724 - 9783540316930 ; , s. 9-16
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Konferensbidrag (refereegranskat)abstract
- The application of Ontologies for the definition and interoperability of complementary taxonomies has been well-recognised within the Modelling & Simulation (M&S) community. Our research pertaining to the specification of Synthetic Environment (SE) representational semantics has proposed the use of an Synthetic Environment Data Representation Ontology (sedOnto), which is modeled using W3C ' s Web Ontology Language(OWL), The vocabulary specified in sedOnto is based the SEDRIS Data Representation Model (DRM), which is a technological framework for SE data interchange and interoperability. In this paper, we present STOWL - SEDRIS To OWL Transform that automates the transformation of a SEDRIS based SE to a Web-Ontology based representation scheme in the OWL language. The target representation scheme, which shall be based on sedOnto, is in actuality an instantiation of the SE data representation terminology as specified by sedOnto. Such a transformation has many perceived advantages: It enhances SE interoperability by utilizing a Web-Ontology based approach for the specification of SE representation data, is consistent with existing industry based SE representation standards, namely SEDRIS, and that the representation scheme facilitates ontological reasoning over SE objects; a facility that is not directly supported by the SEDRIS DRM.
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