Multi-Context Driven Response Generation in Socio-Cognitive Agents based on Access Consciousness

Abstract

Evolution of socio-cognitive agents require them to be the co-partners with humans. Following Theory of mind (ToM) to establish and evolve this partnership an agent needs to identify humans’ mental states that may cause an agent to respond adaptively. During a social interaction, humans express their mental states that either follow the phenomena of phenomenal or access consciousness using verbal and non verbal communication. The mental states following the phenomena of Access consciousness leads to the reasoning and directing rational control upon verbal response during social interaction. Comprehension of verbally expressed information depends on understanding of its Context. Context-aware systems exist that understand the meanings behind a dialogue or conversation. However, these systems lack the ability to generate responses based on multi-contextual conversation. This study intends to design a model that could enable agents to interact with humans using verbal communication. Therefore, processing of conversational data could extract the multi context-based meanings to generate response in a naturalistic manner. Hence, the proposed model would be helpful to achieve socio-communicational capabilities based on access-conscious mental-states