This study evaluates various evolutionary search methods to direct neural controller evolution in company with policy (behavior) transfer across increasingly complex collective robotic (RoboCup keep-away) tasks. Robot behaviors are first evolved in a source task and then transferred for further evolution to more complex target tasks. Evolutionary search methods tested include objective-based se...

Among the many task characteristics that influence search behaviors and outcomes, task complexity has received considerable attention. One view of task complexity is through the lens of a priori determinability—a measure of how much the searcher knows about the task outcomes, information requirements, and processes involved. In this paper, we explore a novel manipulation of a priori determinabi...

This paper presents a Petri net-based hierarchical architecture for multiple Unmanned Aerial Vehicle (UAV) simulations in order to facilitate rapid prototyping via visual modeling and analysis. Using high-level Colored Petri nets, we specify UAV control structure by a hierarchy of mission control net and task nets: the mission control net, built upon task nets, models the decision making proces...

colchicine, a potent neurotoxin derived from plants, has been recently introduced as a degenerative toxin of small pyramidal cells in the cortical area 1 of the hippocampus (ca1). in this study, the effect of the alkaloid in ca1 on the behaviors in the conditioning task was measured. injections of colchicine (1,5 μg/rat, intra-ca1) was performed in the male wistar rats, while the animals were s...

To be truly useful, robots should be able to handle a variety of tasks in diverse environments without the need for re-programming. Current systems, however, are typically task-specific. Aiming toward autonomous robots capable of acquiring new behaviors and task capabilities, we describe a method by which a human teacher can instruct a robot student how to accomplish new tasks. During the cours...

Robotic applications require both correct task performance and compensation for undefined behaviors. Although deep learning is a promising approach to perform complex tasks, the response behaviors that are not reflected in training dataset remains challenging. In human-robot collaborative task, robot may adopt an unexpected posture due collisions other events. Therefore, robots should be able r...

Survey researchers have examined the interaction between interviewers and respondents for behavioral evidence of difficulties with the survey task or measurement error or both. Using detailed coding of interaction during cognitive assessments conducted by telephone in the Wisconsin Longitudinal Study, we examine the relationships between behaviors by the respondent and performance on a letter f...