Planning

Planning & Scheduling
Constraining Action Sequences
AITopics > Reasoning > Constraint-Based Reasoning > Planning & Scheduling ...

Path-Planning from Start to Finish
All-Pairs Shortest Paths
The all-pairs shortest path problem can be considered the mother of all routing problems. It aims to compute the shortest path from each vertex v to every other u.

Planning Domain Definition Language
Preference-based planning
Process ontology
R ...

Efficient planning requires a balance between at least three opposing characteristics: 1) a plan must by definition relate to a distant goal, and yet to be effective should be grounded in the here-and-now; 2) current "sub"goals must be flexibly ...

Robot Motion Planning
Tutorial Slides by Andrew Moore
We review some algorithms for clever path planning once we arrive in real-valued continuous space instead of the safe and warm discrete space we've been sheltering in so far.

planning Planning programs start with general facts about the world (especially facts about the effects of actions), facts about the particular situation and a statement of a goal. From these, they generate a strategy for achieving the goal.

Planning In computer science, and particularly in artificial intelligence, the task of determining a stepwise plan to accomplish a very specific task.

Planning and Acting
Its a process in which planning systems must face up to the awful prospect of actually having to take their own advice.
Ways to deal with the problems arising from incomplete and incorrect information: ...

Planning: Another significant area of artificial intelligence is planning. The problems of reasoning and planning share many common issues, but have a basic difference that originates from their definitions.

Planning and Search.
By linking two or more If->Do->Then rules into a chain, ...

Planning and Scheduling
Planning is the field of AI that deals with the synthesis of plans, which are partial orders of (possibly conditional) actions to meet specified goals under specified constraints.

Planning
Main article: automated planning and scheduling
Intelligent agents must be able set goals and achieve them.

11 Planning and Acting in the Real World
11.1 Time, Schedules, and Resources . . . . . . . . . . . . . . . . . . . . . . . 401
11.2 Hierarchical Planning . . . . . . . . . . . . . . . . . . . . . . . . . . . . 406
11.

linear planning planning in a domain in which subgoals are independent; the subgoals can therefore be accomplished in any order.

Planning your holiday activities? The Guide can help. This week, our entries offer historical insights into the origins of some widespread Christmas customs: decorations, cards (and what to do with them), ...

In planning a study, particularly when a grant proposal must be submitted with a proposed sample size, you must estimate what constitutes a reasonable minimum effect that you wish to detect, a minimum power to detect that effect, ...

City-planning: identifying groups of houses according to their house type, value and geographical location;
Earthquake studies: clustering observed earthquake epicenters to identify dangerous zones; ...

Learning and Planning
So far in this course we have not discussed the issue of planning. The networks we have seen are simply learning a direct relationship between an input and an output.

Problem solving and planning
Newell, Shaw and Simon's General Problem Solver (GPS, 1963);
Nilsson & Fike's Stanford Research Institute Problem Solver (STRIPS, 1971) --- controlled a mobile robot called Shakey
Perception ...

COGNITIVE TECHNIQUEAny technique emulating human intelligence including perceptionG, reasoningG, planningG, learningG and controlG.

This is why I emphasize planning! Firstly, we must alter the CMonster constructor to take parameters, and add the initializer list to the CSoldier class: // In monster.h class CMonster { CMonster(int, int); ~CMonster(); ... }; // In monster.

Dynamic A* and Lifelong Planning A*
There are variants of A* that allow for changes to the world after the initial path is computed. D* is intended for use when you don't have complete information.

Generate-And-Test And Planning
Exhaustive generate-and-test is very useful for simple problems. But for complex problems even heuristic generate-and-test is not very effective technique.

He was planning on retiring as soon as he held his mortgage party, but wanted a new car, a trip to NY, and a few other things.

The patient data is integrated with hospital management data such as cost, payment data and strategic planning which enables one outcome of using SMDB to be the lowering of health care expenses by up to 25%.

A formal description (a model only, an abstraction) of the particular planning process will have decision points within the streams of data where, so to speak, "collision" or merging occurs between streams.

I started work on an undergraduate project on search methods and planning in 1971. This involved me in talking woth prof. Donald Michie in Edinburgh who was working in that area. He invited me to join him as a Ph.

Sophisticated methods for reasoning about uncertainty and for coping with incomplete knowledge have led to more robust diagnostic and planning systems.

Campaign Management automates and integrates the planning, execution, assessment and refinement of possibly tens to hundreds of highly segmented campaigns running monthly, weekly, daily or intermittently.

The suggested reading comes from Chapter 2 of ``Planning and Control'' by Thomas Dean and Michael Wellman, published by Morgan Kaufmann, 1991.

pianomaths: Organist is planning on keeping the Key a secret and hoping the basses don't twig... Ahh, Christmas, with your high notes taunting us...

Wilensky, R. (1983). Planning and Understanding. Massachusetts: Addison-Wesley.
Winston, P. H. (1992). Artificial Intelligence. (3rd Edition). Massachusetts: Addison-Wesley.

Distance education requires structured planning, well-designed courses special instructional techniques and methods of communication by electronic and other technology, as well as specific organizational and administrative arrangements.

Designing neural networks, both architecture and weights
Robot trajectory
Evolving LISP programs (genetic programming)
Strategy planning
Finding shape of protein molecules
TSP and sequence scheduling
Functions for creating images ...

FinPortfolio: Monte Carlo Simulation and Financial Planning
Julie Crawshaw: Why Some Advisors Just Say No to Monte Carlo Simulations
Everett F. Carter Jr: Random Walks, Markov Chains and the Monte Carlo Method ...

See also: Artificial intelligence, Knowledge, AI, Agent, Neural network