Language Evolution and Computation Bibliography

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Journal :: Autonomous Mental Development, IEEE Transactions on
2011
Autonomous Mental Development, IEEE Transactions on 3(1):17--29, 2011
Abstract Building intelligent systems with human level competence is the ultimate grand challenge for science and technology in general, and especially for cognitive developmental robotics. This paper proposes a new approach to the design of cognitive skills in a robot ...
Autonomous Mental Development, IEEE Transactions on 3(2):146--153, 2011
Abstract This paper investigates the relationship between embodied interaction and symbolic communication. We report about an experiment in which simulated autonomous robotic agents, whose control systems were evolved through an artificial evolutionary ...
Autonomous Mental Development, IEEE Transactions on 3(2):163--175, 2011
Abstract An understanding of time and temporal concepts is critical for interacting with the world and with other agents in the world. What does a robot need to know to refer to the temporal aspects of events-could a robot gain a grounded understanding of ¬ďa long ...
Autonomous Mental Development, IEEE Transactions on 3(2):176--189, 2011
Abstract Populations of simulated agents controlled by dynamical neural networks are trained by artificial evolution to access linguistic instructions and to execute them by indicating, touching, or moving specific target objects. During training the agent ...
Autonomous Mental Development, IEEE Transactions on 4(3):192-203, 2011
Time and space are fundamental to human language and embodied cognition. In our early work we investigated how Lingodroids, robots with the ability to build their own maps, could evolve their own geopersonal spatial language. In subsequent studies we extended the framework ...MORE ⇓
Time and space are fundamental to human language and embodied cognition. In our early work we investigated how Lingodroids, robots with the ability to build their own maps, could evolve their own geopersonal spatial language. In subsequent studies we extended the framework developed for learning spatial concepts and words to learning temporal intervals. This paper considers a new aspect of time, the naming of concepts like morning, afternoon, dawn, and dusk, which are events that are part of day-night cycles, but are not defined by specific time points on a clock. Grounding of such terms refers to events and features of the diurnal cycle, such as light levels. We studied event-based time in which robots experienced day-night cycles that varied with the seasons throughout a year. Then we used meet-at tasks to demonstrate that the words learned were grounded, where the times to meet were morning and afternoon, rather than specific clock times. The studies show how words and concepts for a novel aspect of cyclic time can be grounded through experience with events rather than by times as measured by clocks or calendars.
2010
Autonomous Mental Development, IEEE Transactions on 2(3):167--195, 2010
Abstract This position paper proposes that the study of embodied cognitive agents, such as humanoid robots, can advance our understanding of the cognitive development of complex sensorimotor, linguistic, and social learning skills. This in turn will benefit the design of ...
2009
Coevolution of Role-Based Cooperation< newline/> in Multiagent Systems
Autonomous Mental Development, IEEE Transactions on 1(3):170--186, 2009
Abstract In tasks such as pursuit and evasion, multiple agents need to coordinate their behavior to achieve a common goal. An interesting question is, how can such behavior be best evolved? A powerful approach is to control the agents with neural networks, coevolve ...