Generating Optimal Plans in Highly-Dynamic Domains

05/09/2012
by   Christian Fritz, et al.
0

Generating optimal plans in highly dynamic environments is challenging. Plans are predicated on an assumed initial state, but this state can change unexpectedly during plan generation, potentially invalidating the planning effort. In this paper we make three contributions: (1) We propose a novel algorithm for generating optimal plans in settings where frequent, unexpected events interfere with planning. It is able to quickly distinguish relevant from irrelevant state changes, and to update the existing planning search tree if necessary. (2) We argue for a new criterion for evaluating plan adaptation techniques: the relative running time compared to the "size" of changes. This is significant since during recovery more changes may occur that need to be recovered from subsequently, and in order for this process of repeated recovery to terminate, recovery time has to converge. (3) We show empirically that our approach can converge and find optimal plans in environments that would ordinarily defy planning due to their high dynamics.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/01/2011

Planning by Rewriting

Domain-independent planning is a hard combinatorial problem. Taking into...
research
10/19/2012

Optimal Limited Contingency Planning

For a given problem, the optimal Markov policy can be considerred as a c...
research
01/18/2022

Lifelong Dynamic Optimization for Self-Adaptive Systems: Fact or Fiction?

When faced with changing environment, highly configurable software syste...
research
05/27/2011

Constructing Conditional Plans by a Theorem-Prover

The research on conditional planning rejects the assumptions that there ...
research
08/17/2017

Learning Effective Changes For Software Projects

The current generation of software analytics tools are mostly prediction...
research
08/25/2023

Diverse, Top-k, and Top-Quality Planning Over Simulators

Diverse, top-k, and top-quality planning are concerned with the generati...
research
09/30/2022

Institutional Foundations of Adaptive Planning: Exploration of Flood Planning in the Lower Rio Grande Valley, Texas, USA

Adaptive planning is ideally suited for the deep uncertainties presented...

Please sign up or login with your details

Forgot password? Click here to reset