This chapter studies how basic spatial categories such as left-right, front-back, far-near or north-south
can emerge in a population of robotic agents in co-evolution with terms that express these categories. It introduces
various language strategies and tests them first in reconstructions of German spatial terms, then in
acquisition experiments to demonstrate the adequacy of the strategy for learning these terms, and finally in
language formation experiments showing how a spatial vocabulary and the concepts expressed by it can emerge
in a population of embodied agents from scratch.
2022. From the field into the lab: causal approaches to the evolution of spatial language. Linguistics Vanguard 8:s1 ► pp. 191 ff.
Bechberger, Lucas & Mingya Liu
2021. Concepts in Action: Introduction. In Concepts in Action [Language, Cognition, and Mind, 9], ► pp. 1 ff.
Günther, Fritz, Luca Rinaldi & Marco Marelli
2019. Vector-Space Models of Semantic Representation From a Cognitive Perspective: A Discussion of Common Misconceptions. Perspectives on Psychological Science 14:6 ► pp. 1006 ff.
Heath, Scott, David Ball & Janet Wiles
2016. Lingodroids: Cross-Situational Learning for Episodic Elements. IEEE Transactions on Cognitive and Developmental Systems 8:1 ► pp. 3 ff.
Dawson, Colin R., Jeremy Wright, Antons Rebguns, Marco Valenzuela Escarcega, Daniel Fried & Paul R. Cohen
2013. 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL), ► pp. 1 ff.
Spranger, Michael
2013. Evolving Grounded Spatial Language Strategies. KI - Künstliche Intelligenz 27:2 ► pp. 97 ff.
Spranger, Michael
2015. 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), ► pp. 196 ff.
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