In order to interpret the behaviour of cognitive systems, the integration into their specific cultural environment must be considered. The phenomenon of situatedness is a crucial determinant of this behaviour. We derive the notion of situatedness from the interplay between agent, situation, and context (divided into inter- and intracontext). The main objective of this paper is to connect a theoretical analysis of situatedness with its implications for empirical research. In particular, we consider processes of situated learning in natural and artificial systems.
A two-level natural language generation system tbr situation and action descriptions (SADs) of a sinmlated assembly robot is presented, in the first step, multimodal inibrmation is used to obtain a conceptual representation (CR) of an event. The second step is the lmrallel, incremental surface realizatiou of utterances from the robot's t)erspecl;ive bascxl on the CR. Theoretical issues addressed are semantics of SAI)s and distribution of lexical and syntactic processing, leading to a natural type of in(:rementality in NLG.
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