Mental models: towards a cognitive science of language, inference, and consciousness
Mental models: towards a cognitive science of language, inference, and consciousness
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ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
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In this paper the language grounding problem is considered for a modal language consisting of logic conjunctions extended with modal operators of knowledge, belief and possibility. This language is grounded in an artificial cognitive agent which is located in a world built from objects that can exhibit particular sets of properties. This cognitive agent is equipped with sensors that make it possible to observe states of properties in external objects. Results of observations (reflections of objects) are collected and treated as the source of data which induces internal meaning accessible to the agent. This meaning is assigned to modal conjunctions. The triple of a modal conjunction, the embodied empirical content and an external object are a particular case of semiotic triangle concept within which the phenomenon of language grounding is modelled and studied. It is assumed that conditions for proper grounding of modal conjunctions are defined by the so called epistemic satisfaction relations which specify what empirical content should be collected in the cognitive agent in order to embody commonsense meaning of modal conjunctions. It is proved in this paper that the accepted definition for epistemic satisfaction results in desirable language behaviour corresponding to commonsense intentional semantics and pragmatics of natural language discourse. The desirable language expectations are considered for uniform sets of modal conjunctions.