Learning & Behavior最新文献

Under certain conditions, multiple nonhuman species have been observed engaging in choice behavior that resulted in less food earned when compared to the amount of food that was available to be earned over the course of a session. This phenomenon is particularly strong in pigeons, but has also been observed in rats and nonhuman primates. Conversely, human participants have demonstrated a propensity to choose more optimally. However, human participants do not exclusively choose the alternative associated with more reinforcement. Framing a task in a real-world narrative has been effective in improving problem-solving on other tasks such as the Wason Four-Card problem. The present study gave human participants a choice task with either abstract stimuli or with a real-world narrative. In addition, participants were given terminal stimuli that were either predictive or unpredictive of reinforcement. Thus, participants were assigned to one of four conditions: Abstract Predictive, Abstract Unpredictive, Narrative Predictive, or Narrative Unpredictive. In contrast to the improved performance on the Wason Four-Card task, the current study found no evidence that the addition of a real-world narrative improved optimal choice performance. Rather, it may have interfered with optimal choice selection in that participants who received the narrative and unpredictive terminal stimuli were at chance performance at the end of the experimental session. Conversely, participants in the Abstract Unpredictive, Abstract Predictive, and Narrative Predictive conditions all demonstrated a preference for the optimal alternative. Possible mechanisms for these findings and future directions are discussed.

A new study shows that bumblebees learn socially, and this resulted in a novel behavior becoming dominant across a group. These findings highlight the opportunity going forward to use social insects to address how simple cognitive mechanisms can underpin the development of complex behavioral phenomena.

To survive and reproduce, animals need to behave adaptively by adjusting their behavior to their environment, with learning facilitating some of these processes. Dogs have become a go-to model species in comparative cognition studies, making our understanding of their learning skills paramount at multiple levels, not only with regards to basic research on their cognitive skills and the effects of domestication, but also with applied purposes such as training. In order to tackle these issues, we tested similarly raised wolves and dogs in a serial learning task inspired by Harlow's "learning set." In Phase 1, different pairs of objects were presented to the animals, one of which was baited while the other was not. Both species' performance gradually improved with each new set of objects, showing that they "learnt to learn," but no differences were found between the species in their learning speed. In Phase 2, once subjects had learned the association between one of the objects and the food reward, the contingencies were reversed and the previously unrewarded object of the same pair was now rewarded. Dogs' performance in this task seemed to be better than wolves', albeit only when considering just the first session of each reversal, suggesting that the dogs might be more flexible than wolves. Further research (possibly with the aid of refined methods such as computer-based tasks) would help ascertain whether these differences between wolves and dogs are persistent across different learning tasks.

We recently showed that food-hoarding birds use familiarity processes more than recollection processes when remembering the spatial location of their caches (Smulders et al., Animal Cognition 26:1929-1943, 2023). Pravosudov (Learning & Behavior, https://doi.org/ https://doi.org/10.3758/s13420-023-00616-x , 2023) called our findings into question, claiming that our method is unable to distinguish between recollection and familiarity, and that associative learning tasks are a better way to study the memory for cache sites. In this response, we argue that our methods would have been more likely to detect recollection than familiarity, if Pravosudov's assertions were correct. We also point out that associative learning mechanisms may be good for building semantic knowledge, but are incompatible with the needs of cache site memory, which requires the unique encoding of caching events.

To investigate the extent of adoption of more efficient coding strategies, pigeons learned, in three experiments, a symbolic matching-to-sample task that featured an asymmetric sample-comparison mapping. In all experiments, one comparison was correct following one of the samples (one-to-one mapping), and another comparison was correct following the remaining samples (many-to-one mapping). The experiments differed in sample number; Experiment 1 featured three samples, Experiment 2 five samples, and Experiment 3 seven samples. Our goal was to assess the adoption of a single-code/default coding strategy, which establishes two response rules: one rule specific to the sample mapped one-to-one (the single code), and another rule to be applied following any other sample (the default rule). Alternatively, the animals could establish more response rules, one per sample. Thus, the single-code/default strategy allows learning a task via a reduced number of response rules, and the more samples are mapped many-to-one, the greater the savings it allows. As such, the three experiments should progressively be more amenable to the adoption of this strategy. Overall, the adoption of a single-code/default strategy was not widespread. When taken together with previous results, the present study suggests that the amount of training may affect the coding strategy pigeons adopt. Additionally, our results underscore that individual differences are a fundamental aspect to consider when studying learning flexibility.

In general, animals are known to be sensitive to the immediacy of reinforcers. That is, they are generally impulsive and outcomes that occur in the future are generally heavily discounted. Furthermore, they should prefer alternatives that provide reinforcers that require less rather than greater effort to obtain. In the present research, pigeons were given a choice between (1) obtaining reinforcers on a progressively more difficult schedule of reinforcement; starting with four pecks, then eight pecks, then 16 pecks, then 32 pecks, and finally 64 pecks on each trial, and (2) a color signaling a number of pecks for a single reinforcer: red = six, green = 11, blue = 23, or yellow = 45. If pigeons choose optimally, most of the time they should choose the progressive schedule to obtain five reinforcers rather than switch to a color to receive only one. However, if they are sensitive primarily to the number of pecks to the next reinforcer, they should choose the progressive schedule once before switching to red, twice before switching to green, three times before switching to blue, and four times before switching to yellow. Instead, they systematically switched too early. Rather than choose based on the rate of reinforcement or even based on the time or effort to the next reinforcer, they appear to anticipate that the progressive schedule is going to get more difficult, and they base their choice suboptimally on the serial pattern of the worsening progressive schedule.

Anglada-Tort et al. Current Biology, 33, 1472-1486.e12, (2023) conducted a large-scale iterative learning study with cross-cultural human participants to understand how musical structure emerges. Together with archaeological, developmental, historical cross-cultural music data, and cross-species studies we can begin to elucidate the origins of music.

Three experiments are reported that used a new test of spatial memory in rats. The apparatus used was dual eight-arm radial mazes that were connected at one arm of each maze, with a start arm and doors to each maze. Rats could be forced to go to one maze or the other or could make a free choice between mazes. In Experiment 1, rats formed reference memory for the arm containing food on one maze but had food randomly placed on different arms over trials on the other maze. In Experiment 2, rats formed working memory for the arm containing food on one maze but not the other. In Experiment 3, food location changed randomly among trials on both mazes, but one maze contained a cue for the location of food. Rats used reference and working memory to go directly to the food arm on one maze but found food only after searching several arms on the other maze. Most importantly, when given free-choice trials rats developed a significant preference for the maze where they knew the location of food reward or found the cue indicating the location of reward. We suggest these findings may be best interpreted by rats applying two successive rules: (1) choose the maze that leads to the most immediate reward, and (2) use extramaze or intramaze cues to find reward location on the maze.

A fundamental question in the development of animal models of episodic memory concerns the role of temporal processes in episodic memory. Gallistel, (1990) developed a framework in which animals remember specific features about an event, including the time of occurrence of the event and its location in space. Gallistel proposed that timing is based on a series of biological oscillators, spanning a wide range of periods. Accordingly, a snapshot of the phases of multiple oscillators provides a representation of the time of occurrence of the event. I review research on basic timing mechanisms that may support memory for times of occurrence. These studies suggest that animals use biological oscillators to represent time. Next, I describe recently developed animal models of episodic memory that highlight the importance of temporal representations in memory. One line of research suggests that an oscillator representation of time supports episodic memory. A second line of research highlights the flow of events in time in episodic memory. Investigations that integrate time and memory may advance the development of animal models of episodic memory.