Grounding adaptive language games in robotic agents

By Luc Steels, Paul Vogt. AAAI Conference on Artificial Intelligence, 2006

555 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cultural Studies

View Paper: https://www.semanticscholar.org/paper/380bc548a3d628bef7c79fe98719eb51e6d1a465

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Citations in the corpus

Grounded spoken language acquisition: experiments in word learning (2003, background): “Physical grounding of concepts has been explored in the context of robotics as an alternative to the symbol processing view of artificial intelligence [18], [19].”
Detection of Emotions during Learning with AutoTutor (2006, background): “Confusion is diagnostic of cognitive disequilibrium, a state that occurs when learners face obstacles to goals, contradictions, incongruities, anomalies, uncertainty, and salient contrasts (Festinger, 1957; Graesser, Lu, Olde, Pye-Cooper, & Whitten, 2005; Graesser & Olde, 2003; Piaget, 1952 ).”
The “I's” Have It: A Framework for Serious Educational Game Design (2010, background): “Assimilation is the process of understanding the world through existing schemes, whereas accommodation is the process of building new schemes (based on refinements and blending of existing schemes; Phillips, 1981; Piaget, 1952).”
The politeness effect: Pedagogical agents and learning outcomes (2008, background): “face of cognitive disequilibrium ( Piaget, 1952 ).”
How does one know whether a person understands a device? The quality of the questions the person asks when the device breaks down. (2003, unknown): “The notion that questions are driven by cognitive disequilibrium (or dissonance) has a long history in cognitive, developmental, social, and educational psychology (Berlyne, 1960; Chinn & Brewer, 1993; Collins, 1988; Dillon, 1988; Festinger, 1957; Flammer, 1981; Graesser, Baggett, & Williams, 1996; ”
Iterated Learning: A Framework for the Emergence of Language (2003, background): “We will assume for the moment that these strategies are error-free, while noting that the consequences of weakening this assumption are a current and interesting area of research (see, for example, [23, 20, 24]).”
Rich memory and distributed phonology (2010, background): “A variety of laboratory simulations of the development of new language-like systems have been done with human subjects either by creating a task where they must communicate with each other using a completely novel medium (Gallantucci, 2005; Gallantucci & Steels, 2008) or by doing simulations using a”
Scaffolding Deep Comprehension Strategies Through Point&Query, AutoTutor, and iSTART (2005, background): “A rather different approach to facilitating inquiry follows the theoretical tradition of Piaget (1952) and subsequently by”
Natural Language Communication with Robots (2016, background): “Progress on language in this area has largely focused on grounding visual attributes (Kollar et al., 2013; Matuszek et al., 2014) and on learning spatial relations and actions for small vocabularies with hard-coded abstract concepts (Steels and Vogt, 1997; Roy, 2002; Guadarrama et al., 2013).”
Grounding spatial relations for human-robot interaction (2013, background): “While we retain some of the ideas and concepts, the main difference between our approach and Steels’ is that we provide the robot with the vocabulary, whereas in [7] the perceptual categories arise from the agent”