Abstract: Chimpanzees (Pan troglodytes) and rhesus macaques (Macaca mulatta) selected either Arabic numerals or colored squares on a computer monitor in a learned sequence. On shift trials, the locations of 2 stimuli were interchanged at some point. More errors were made when this interchange occurred for the next 2 stimuli to be selected than when the interchange was for stimuli later in the sequence. On mask trials, all remaining stimuli were occluded after the 1st selection. Performance exceeded chance levels for only 1 selection after these masks were applied. There was no difference in performance for either stimulus type (numerals or colors). The data indicated that the animals planned only the next selection during these computerized tasks as opposed to planning the entire response sequence.

Abstract: Since the time of domestication, humans have trained horses for the purpose of serving man. Different training methods have been developed throughout the centuries; some were developed with consideration for the horse's welfare, while others disregarded welfare to a great extent. Most present day training is based upon making the horse perform a desired behaviour through dominance and subordination. Although cooperative training techniques have gained popularity, everyday training lacks the application of learning theory or neglects the horse's learning capacities and their species' specific behaviour. Thus, the horse's welfare may be jeopardised.
The aim with this review is to consider methods that allow an objective assessment of the welfare of horses undergoing training. The review gives a brief insight into the history of horse training and handling. It proceeds with an overview of the horse"s learning abilities which is argued to be of paramount importance for effective training. The review then describes a few selected training techniques that are used today, based on negative and positive reinforcement, and discusses parameters from which it could be possible to assess the welfare of the ridden horse. The work concludes with suggestion for future

Abstract: Empirical research with nonhuman primates appears to support the view that causal reasoning is a key cognitive faculty that divides humans from animals. The claim is that animals approximate causal learning using associative processes. The present results cast doubt on that conclusion. Rats made causal inferences in a basic task that taps into core features of causal reasoning without requiring complex physical knowledge. They derived predictions of the outcomes of interventions after passive observational learning of different kinds of causal models. These competencies cannot be explained by current associative theories but are consistent with causal Bayes net theories.

Abstract: The oft-repeated concern for the lack of behavioral comparability of domestic rats with wild forms of Rattus norvegicus is unfounded. Laboratory rats appear to show the potential for all wild-type behaviors, including the most dramatic social postures. Moreover, domestics are capable of assuming a feral existence without difficulty, one where they readily behave in a fashion indistinguishable from wild rats. The one behavioral difference that is clearly established concerns performance in laboratory learning paradigms. The superiority of domestics in these laboratory tasks speaks more to quieting the concerns of degeneracy theorists than to problems of using domestic Norway rats as subjects representative of their species.

Abstract: There are numerous reports of novel learned behaviour patterns in animal populations, yet the factors influencing the invention and spread of these innovations remain poorly understood. Here we investigated to what extent the pattern of spread of innovations in captive groups of starlings, Sturnus vulgaris, could be predicted by knowledge of individual and social group variables, including association patterns, social rank orders, measures of neophobia and asocial learning performance. We presented small groups of starlings with a series of novel extractive foraging tasks and recorded the latency for each bird to contact and solve each task, as well as the orders of contacting and solving. We then explored which variables best predicted the observed diffusion patterns. Object neophobia and social rank measures characterized who was the first of the group to contact the novel foraging tasks, and the subsequent spread of contacting tasks was associated with latency to feed in a novel environment. Asocial learning performance, measured in isolation, predicted who was the first solver of the novel foraging tasks in each group. Association patterns did not predict the spread of solving. Contact latency and solving duration were negatively correlated, consistent with social learning underlying the spread of solving. Our findings indicate that we can improve our understanding of the diffusion dynamics of innovations in animal groups by investigating group-dependent and individual variables in combination. We introduce novel methods for exploring predictors of the origin and spread of behavioural innovations that could be widely applied.