Abstract:

In this paper we deal with a computational model for cognitive semantics for the process of extraction of modal linguistic summaries from data managed by autonomous cognitive agents. In particular, in the proposed approach the agent’s deeper understanding is achieved through incorporation of grounding theory, allowing for explicit representation of semantic structures within the computational framework, and proposed context-based extension, allowing for a more aware behaviour of the system. Further this extended comprehension can be conveyed to the end user utilising means of linguistic communication, i.e., allowing the agent to express subtle context-based auto-epistemic modal statements with natural language connectives of equivalence.