Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

8-2023

Abstract

Natural language communication is an intricate and complex process. The speaker usually begins with an intention and motivation of what is to be communicated, and what outcomes are expected from the communication, while taking into consideration the listener’s mental model to concoct an appropriate sentence. Likewise, the listener has to interpret the speaker’s message, and respond accordingly, also with the speaker’s mental model in mind. Doing this successfully entails the appropriate representation of the conceptual, motivational, and affective processes that underlie language generation and understanding. Whereas big-data approaches in language processing (such as chatbots and machine translation) have performed well, achieving natural language based communication in human-robot collaboration is non-trivial, and requires a deeper representation of the conceptual, motivational, and affective processes involved in conveying precise instructions to robots. This paper capitalizes on the UGALRS (Unified General Autonomous and Language Reasoning System) framework and the CD+ (Conceptual Dependency Plus) representational scheme to demonstrate how social communication through language can be supported by a knowledge representational scheme that handles conceptual, motivational, and affective processes in a deep and generalizable way. Through an illustrative set of concepts, motivations, and emotions, we show how these aspects are integrated into a general framework for knowledge representation and processing that could serve the purpose of natural language communication for an intelligent system.

Keywords

affective processes, knowledge representation, motivational processes, natural language communication, natural language understanding

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing

Research Areas

Data Science and Engineering

Publication

Advances in Brain Inspired Cognitive Systems: 13th International Conference, BICS 2023, Kuala Lumpur, August 5-6: Proceedings

First Page

14

Last Page

30

ISBN

9789819714162

Identifier

10.1007/978-981-97-1417-9_2

Publisher

Springer

City or Country

Cham

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1007/978-981-97-1417-9_2

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