People-Powered Planning: Planning from the bottom up in a top-down system

Bottom-up, top-down

Top-down Planning and Bottom-up Perception in a Problem-solving Task

The paper studies the roles of top-down planning and the bottom-up elements in complex problem-solving tasks. The paper investigates how factors, such as conceptual understanding, perceptual representation and previous experience with the task, influence action selection. The paper proposes to study the cognitive and perceptual aspects of problem-solving task within the environment of card game...

Distinguishing Top-Down From Bottom-Up Effects

The distinction between top-down and bottom-up effects is widely relied on in experimental psychology. However, there is an important problem with the way it is normally defined. Top-down effects are effects of previously-stored information on processing the current input. But on the face of it that includes the information that is implicit in the operation of any psychological process – in its...

Integrating Top-Down Planning with a Bottom-Up Approach that Learns to Locally Combine Actions

This paper describes two open problems in planning and presents preliminary ideas that could lead to potential solutions. The problems on which the paper focuses are (1) combining top-down and bottom-up reasoning to create hierarchical plans, and (2) representing domain knowledge in domains that are unpredictable or too complex to described or reasoned about precisely. The first problem is part...

Bottom-Up Beats Top-Down

In PEPA, the calculation of the transitions enabled by a process accounts for a large part of the time for the state space exploration of the underlying Markov chain. Unlike other approaches based on recursion, we present a new technique that is iterative—it traverses the process’ binary tree from the sequential components at the leaves up to the root. Empirical results shows that this algorith...