Artificial grammar learning (AGL) is used to study how human adults, infants, animals or machines learn various sorts of rules defined over sounds or visual items. Ten Cate et al. introduce the topic and provide a critical synthesis of this important interdisciplinary area of research. They identify the questions that remain open and the challenges that lie ahead, and argue that the limits of human, animal and machine learning abilities have yet to be found.

Birds produce different types of sounds in different contexts such as begging for food in youngsters, alerting to a danger, defending a territory or attracting a sexual partner. About half of the bird species are able to transform their vocalizations through imitation, improvisation or invention of sounds. Here we review the different experimental procedures that have been used to study the learning capacities of birds in the vocal domain and in the auditory domain, with a particular emphasis on recent technological (...) developments. Nowadays, it is possible to record individual vocalizations of birds living in social groups or to record continuously the vocal ontogeny of birdsong. In conditioning experiments, new paradigms have successfully replaced food rewards with a socio-sexual reward. It is possible to engage in vocal interactions with a bird using dedicated computer systems. In both the laboratory and more recently in the field, different techniques have been used to train young oscine songbirds to learn from acoustic models. The use of virtual social environments and robots as social agents are also promising avenues. All together, these new techniques will permit researchers to explore more deeply the umwelt of bird species. (shrink)