'Goal stack' presentation slideshows

Artificial Intelligence Planning System

Artificial Intelligence Planning System. L. Manevitz. Components of a Planning System. Chose the best rule to apply next based on the best available heuristic information. Apply the chosen rule to compute the new problem state that arises from its application.

793 views • 61 slides

Artificial Intelligence Planning System

Artificial Intelligence Planning System. L. Manevitz. Components of a Planning System. Chose the best rule to apply next based on the best available heuristic information. Apply the chosen rule to compute the new problem state that arises from its application.

1.74k views • 61 slides

Mobile Agent Programming Concepts

Mobile Agent Programming Concepts. FK. Dimensions of mobility. Moving between different execution servers (processes, hosts) Moving in time Moving with the user (execution server) Moving between contexts. Properties of agent execution environments.

483 views • 39 slides

Mobile Agent Programming Concepts

Mobile Agent Programming Concepts. FK. Dimensions of mobility. Moving between different execution servers (processes, hosts) Moving in time Moving with the user (execution server) Moving between contexts. Properties of agent execution environments.

396 views • 39 slides

Problem Solving

Problem Solving. Solve this maze at your leisure.

478 views • 37 slides

Artificial Intelligence II

Artificial Intelligence II. S. Russell and P. Norvig Artificial Intelligence: A Modern Approach Chapter 11: Planning. Planning. Planning versus problem solving Situation calculus Plan-space planning. Planning as Problem Solving. Planning Start state (S) Goal state (G) Set of actions

494 views • 33 slides

Programming in Logic: Prolog

528 views • 30 slides

391 views • 28 slides

283 views • 28 slides

Planning

Planning. Adapted from Tim Finin, UMBC, Marie desJardins Some material adopted from notes by Andreas Geyer-Schulz and Chuck Dyer. Planning problem. Find a sequence of actions that achieves a given goal when executed from a given initial world state . That is, given

392 views • 27 slides

Pertemuan 17 Planning

Pertemuan 17 Planning. Matakuliah : T0264/Intelijensia Semu Tahun : Juli 2006 Versi : 2/1. Learning Outcomes. Pada akhir pertemuan ini, diharapkan mahasiswa akan mampu : << TIK-99 >> << TIK-99>>. Outline Materi. Materi 1 Materi 2 Materi 3 Materi 4 Materi 5. 13.1. Overview.

548 views • 27 slides