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
 

Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.

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