'Frame axioms' presentation slideshows

Notes 9: Planning; Strips Planning Systems

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PLANNING

PLANNING. Temporal representation 1 Deductive planning in Logic Temporal representation 2. Partial order regression planning. A second class of planners : based on A.R. The many motivations. Provide an additional (more complex) illustration of AR.

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Engineering DPLL(T) + Saturation IJCAR 2008

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Advanced Problem Solving Systems: Planning In order to solve nontrivial problems, it is necessary to combine 1. Basic

Advanced Problem Solving Systems: Planning In order to solve nontrivial problems, it is necessary to combine 1. Basic problem solving strategies 2. Knowledge representation mechanisms 3. Partial solutions and at the end combine into complete problem solution (decomposition)

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Knowledge Evolution

Knowledge Evolution. Up to now we have not considered evolution of the knowledge In real situations knowledge evolves by: completing it with new information changing it according to the changes in the world itself Simply adding the new knowledge possibly leads to contradiction

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The Situation Calculus and the Frame Problem

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Knowledge Evolution

Knowledge Evolution. Up to now we have not considered evolution of the knowledge In real situations knowledge evolves by: completing it with new information changing it according to the changes in the world itself Simply adding the new knowledge possibly leads to contradiction

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Compilation Approaches to AI Planning 1

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Chapter 7 Propositional Satisfiability Techniques

Lecture slides for Automated Planning: Theory and Practice. Chapter 7 Propositional Satisfiability Techniques. Dana S. Nau University of Maryland 3:14 AM August 26, 2014. Motivation. Propositional satisfiability: given a boolean formula

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Artificial Intelligence Chapter 21 The Situation Calculus

Artificial Intelligence Chapter 21 The Situation Calculus. Biointelligence Lab School of Computer Sci. & Eng. Seoul National University. Outline. Reasoning about States and Actions Some Difficulties Generating Plans Additional Readings and Discussion.

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Artificial Intelligence Chapter 21. The Situation Calculus

Artificial Intelligence Chapter 21. The Situation Calculus. Outline. Reasoning about States and Actions Some Difficulties Generating Plans Additional Readings and Discussion. 21.1 Reasoning about States and Actions.

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Logical Agents

Logical Agents. Logical agents for the Wumpus World. Three (non-exclusive) agent architectures: Reflex agents Have rules that classify situations based on percepts and specify how to react to each possible situation Model-based agents Construct an internal model of their world

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FOPL, Part Deux

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Planning Methods based on Logic

Planning Methods based on Logic. The Situation Calculus Reasoning about States and Actions Some Difficulties Generating Plans. Reasoning about States and Actions. Describe goal condition using any wff in predicate calculus Describe world state using formulas

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Planning as Logic: Why logic?

Planning as Logic: Why logic?. Flexible language Range of expressive power/tractability Clear semantics and syntax Good solution processes Mature (older than computer science!) General purpose Fast!. Translate/Solve/Decode Architecture. Planning problem. Compiler. Logic problem. Solver.

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Frame Problem

Philosophy 141. Frame Problem. Ankit Awasthi R Lakshminarayan Bharadwaj Sudhanshu Chowdhary Vinay Chataraju Vipul Arora. Guide: Prof. Prashant Bagad. Frame problem origin and relevance. Origin : Artificial Intelligence McCarthy and Hayes (1969).

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Chapter 15 Introduction to Planning

Chapter 15 Introduction to Planning. Chapter 15 Contents. Planning as Search Situation Calculus The Frame Problem Means-Ends Analysis The Blocks World. Planning as Search. Planning involves finding a plan which will enable a system (or a robot) to solve a problem, or carry out some task.

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Chapter 15 Introduction to Planning

Chapter 15 Introduction to Planning. Chapter 15 Contents. Planning as Search Situation Calculus The Frame Problem Means-Ends Analysis The Blocks World. Planning as Search. Planning involves finding a plan which will enable a system (or a robot) to solve a problem, or carry out some task.

106 views • 9 slides