This paper presents a framework for cost-optimal HTN planning. The framework includes an optimal algorithm combining a branch-and-bound with a heuristic search, which can also be used as a near-optimal algorithm given a time limit. It also includes different heuristics based on weighted cost estimations and different decomposition strategies. The different elements from this framework are empir...

Many challenging reinforcement learning (RL) problems require designing a distribution of tasks that can be applied to train effective policies. This specified by the curriculum. A curriculum is meant improve results and accelerate it. We introduce Success Induced Task Prioritization (SITP), framework for automatic learning, where task sequence created based on success rate each task. In this s...

Selecting and remembering visual information is an active and competitive process. In natural environments, representations are tightly coupled to task. Objects that are task-relevant are remembered better due to a combination of increased selection for fixation and strategic control of encoding and/or retaining viewed information. However, it is not understood how physically manipulating objec...

An extensive literature has revealed the benefits of self-relevance during stimulus processing. Compared to material associated with other persons (e.g., friend, mother), self-relevant information elicits faster and more accurate responses (i.e., self-prioritization effect). Probing boundary conditions this effect, recent research sought identify whether advantages can be attenuated (or even el...

The Software testing phase of the development life cycle model of software plays a very important role in deciding the quality and functionality of the software. The Testing of the software is done to detect the fault in its functionality and on the basis of its performance further quality of software is improved. In the software testing phase there is a task involved which is prioritization of...

Because some features affect the efficiency of visual search even when they are irrelevant to the task, they are thought to capture attention in a stimulus-driven manner. If such attention shifts are stimulus driven, they should be unaffected by reduced resources. We added a concurrent auditory task to a traditional attention capture paradigm and found that capture by an irrelevant, abruptly ap...