Open AccessProceedings Article
SHOP: Simple Hierarchical Ordered Planner
Dana S. Nau,Yue Cao,Amnon Lotem,Héctor Muñoz-Avila +3 more
- pp 968-975
Reads0
Chats0
TLDR
In the authors' tests, SHOP was several orders of magnitude faster man Blackbox and several times faster than TLpian, even though SHOP is coded in Lisp and the other planners are coded in C.Abstract:
SHOP (Simple Hierarchical Ordered Planner) is a domain-independent HTN planning system with the following characteristics. • SHOP plans for tasks in the same order that they will later be executed. This avoids some goal-interaction issues that arise in other HTN planners, so that the planning algorithm is relatively simple. • Since SHOP knows the complete world-state at each step of the planning process, it can use highly expressive domain representations. For example, it can do planning problems that require complex numeric computations. • In our tests, SHOP was several orders of magnitude faster man Blackbox and several times faster than TLpian, even though SHOP is coded in Lisp and the other planners are coded in C.read more
Citations
More filters
Book ChapterDOI
Theoretical and Empirical Aspects of a Planner in a Multi-agent Environment
TL;DR: Using NEO's as new, more realistic benchmarks for planners acting in an agent environment, and a memoization mechanism implemented on top of shop, which improves the overall performance considerably are the main results.
Book
Cultural Diversity for Virtual Characters: Investigating Behavioral Aspects across Cultures
TL;DR: Birgit Endrass addresses the question of how social aspects such as culture can be integrated into the behavioral models of virtual characters by carrying out a hybrid approach based on theoretical background from the social sciences as well as a multimodal corpus analysis.
Book ChapterDOI
Adaptive Agents in Minecraft: A Hybrid Paradigm for Combining Domain Knowledge with Reinforcement Learning
TL;DR: An early evaluation of the algorithm using simulation for adaptive agents planning in a dynamic world shows that a combined approach using both HTN and RL is more flexible than HTN alone and more efficient than RL alone.
Journal ArticleDOI
Adaptive CGF Commander Behavior Modeling Through HTN Guided Monte Carlo Tree Search
TL;DR: This paper aims to apply Monte Carlo Tree Search (MCTS) for the behavior modeling of CGF commander, and forms the tree model through the state and action abstraction, and extends its expansion process to handle simultaneous and durative moves.
Dissertation
A System Architecture to Provide Enhanced Grid Access for Mobile Devices
TL;DR: This dissertation aims to demonstrate the efforts towards in-situ applicability of EMMARM, as to provide real-time information about concrete mechanical properties such as E-modulus and compressive strength.
References
More filters
Book
A Structure for Plans and Behavior
TL;DR: Progress to date in the ability of a computer system to understand and reason about actions is described, and the structure of a plan of actions is as important for problem solving and execution monitoring as the nature of the actions themselves.
Proceedings Article
UCPOP: a sound, complete, partial order planner for ADL
TL;DR: It is proved ucpop is both sound and complete for this representation and a practical implementation that succeeds on all of Pednault's and McDermott's examples, including the infamous "Yale Stacking Problem".
Proceedings Article
Generating project networks
TL;DR: The planner (NONLIN) and the Task Formalism (TF) used to hierarchically specify a domain are described, which can aid in the generation of project networks.
Journal ArticleDOI
Using temporal logics to express search control knowledge for planning
Fahiem Bacchus,Froduald Kabanza +1 more
TL;DR: This work shows how domain dependent search control knowledge can be represented in a temporal logic, and then utilized to effectively control a forward-chaining planner.
Proceedings Article
Systematic nonlinear planning
TL;DR: A simple, sound, complete, and systematic algorithm for domain independent STRIPS planning by starting with a ground procedure and then applying a general, and independently verifiable, lifting transformation.