Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose a computational model of situated language comprehension based on the Indexical Hypothesis that generates meaning representations by translating amodal linguistic symbols to modal representations of beliefs, knowledge, and experience external to the linguistic system. This Indexical Model incorporates multiple information sources including perceptions, domain knowledge, and short-term and long-term experiences during comprehension.  show that exploiting diverse information sources can alleviate ambiguities that arise from contextual use of underspecific referring expressions and unexpressed argument alternations of verbs. The model is being used to support linguistic interactions in Rosie, an agent implemented in Soar that learns from instruction.
['Shiwali Mohan', 'Aaron Mininger', 'John E. Laird']
I am writing a research paper on a idea Towards an Indexical Model of Situated Language Comprehension for Cognitive Agents in Physical Worlds
[{"from": "human", "value": "I am writing a research paper on a idea Towards an Indexical Model of Situated Language Comprehension for Cognitive Agents in Physical Worlds"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose a computational model of situated language comprehension based on the Indexical Hypothesis that generates meaning representations by translating amodal linguistic symbols to modal representations of beliefs, knowledge, and experience external to the linguistic system. This Indexical Model incorporates multiple information sources including perceptions, domain knowledge, and short-term and long-term experiences during comprehension.  show that exploiting diverse information sources can alleviate ambiguities that arise from contextual use of underspecific referring expressions and unexpressed argument alternations of verbs. The model is being used to support linguistic interactions in Rosie, an agent implemented in Soar that learns from instruction."}]