KMi Seminars
Multimodal Representations as Basis for Cognitive Architecture Making
This event took place on Friday 26 March 2004 at 14:00

 
Professor Balakrishnan Chandrasekaran Ohio State University, USA

Abstract:

In this talk, I outline a view of "cognitive state" as fundamentally multi-modal, i.e., as an integrated and interlinked collection of "images" in various modalities: the perceptual ones, and the kinesthetic and conceptual modalities. Thinking, problem solving, reasoning, etc. are best viewed as sequences of such states, in which there is no intrinsically preferred mode. Representational elements in one mode invoke elements in other modes. The external world also at various points contributes elements to one mode or another. Perception and imagination are more continuous in this view than in the traditional views. In recent years, there has been much interest in the notion of "mental images." However, the focus in this stream of research has been on a very special class of mental images, namely visual ones. The proposed view is an extension and generalization of this notion, not only to other perceptual modalities, but also to kinesthetic and conceptual modalities. I think the proposed view of the essential nature of the mental state opens up new ways of thinking about cognitive architecture, and also suggests new ways of building smart machines. I'll outline why I think so.

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KMi Seminars Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Semantic Web and Knowledge Services is...


Semantic Web and Knowledge Services
"The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation" (Berners-Lee et al., 2001).

Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...

Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.