'Htn planning' presentation slideshows

Artificial Intelligence: Planning in the real world

Artificial Intelligence: Planning in the real world. Outline. Time, schedules and resources Hierarchical task network planning Non-deterministic domains Conditional planning Execution monitoring and replanning Continuous planning Multi-agent planning. Time, schedules and resources.

670 views • 65 slides

Artificial Intelligence 1: planning in the real world

661 views • 65 slides

Feng Zhiyong Tianjin University Fall 2008

Planning and Acting in the Real World. Feng Zhiyong Tianjin University Fall 2008. OutLine. 12.1 Time. Schedules. and Resources 12.2 Hierarchical Task Network Planning 12.3 Planning and Acting in Nondeterministic Domains 12.4 Conditional Planning 12.5 Execution Monitoring and Replanning

613 views • 46 slides

Lecture 10 CS148/248: Interactive Narrative

Lecture 10 CS148/248: Interactive Narrative. UC Santa Cruz School of Engineering www.soe.ucsc.edu/classes/cmps248/Spring2007 michaelm@cs.ucsc.edu 29 May 2007. Tale-Spin: world and character simulation. Tale-Spin was the first world and character simulation approach to story generation

278 views • 20 slides

An Adversarial Planning Approach to Go

Paper Authors: S. Willmott, J. Richardson, A. Bundy, J. Levine Presentation Author: A. Botea. An Adversarial Planning Approach to Go. Outline. Motivation Data Driven Search vs. Goal Driven Driven HTN Planning Adversarial Planning Example GOBI - An Adversarial Go Planner

294 views • 17 slides

Planning II

164 views • 10 slides

Encoding HTN Planning as a Dynamic CSP

Encoding HTN Planning as a Dynamic CSP. A First Step to Application of CP in Planning Domain. Pavel Surynek Charles University, Prague pavel.surynek@seznam.cz. CP 2005, Doctoral Programme. Location A. Location B. Location A. Location B. Initial state. Goal state. Actions.

254 views • 9 slides

Encoding HTN Planning as a Dynamic CSP

Encoding HTN Planning as a Dynamic CSP. A First Step to Application of CP in Planning Domain. Pavel Surynek Charles University, Prague pavel.surynek@seznam.cz. CP 2005, Doctoral Programme. Location A. Location B. Location A. Location B. Initial state. Goal state. Actions.

93 views • 9 slides

Specializing Project 06/07 HTN

Specializing Project 06/07 HTN. Presentation for MS1 By Glenn Wissing. Project information. The goal is learn more about AI, the planning technique HTN to be more specific. Using the HTN planner SHOP. Using JavaBot for visualizing and testing.

181 views • 7 slides