140 Graphplan PPTs View free & download

Making Graphplan Incremental And Cooperative Graphplan PowerPoint PPT Presentation

Making Graphplan Incremental And Cooperative Graphplan - Input list of added and deleted facts at time i. ... Add new facts and new satisfied operators to graph. ... happens since adding facts means checking each ...

Input list of added and deleted facts at time i. ... Add new facts and new satisfied operators to graph. ... happens since adding facts means checking each ...

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Graphplan - Construct a graph that encodes constraints on possible plans ... Constructing the planning graph. Level P1: all literals from the initial state ...

Construct a graph that encodes constraints on possible plans ... Constructing the planning graph. Level P1: all literals from the initial state ...

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The Graphplan Planner PowerPoint PPT Presentation

The Graphplan Planner - The Graphplan Planner Searching the Planning Graph Literature Malik Ghallab, Dana Nau, and Paolo Traverso. Automated Planning Theory and Practice, chapter 6.

The Graphplan Planner Searching the Planning Graph Literature Malik Ghallab, Dana Nau, and Paolo Traverso. Automated Planning Theory and Practice, chapter 6.

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Graphplan - Every node in search space is a set of several partial plans. So not every action in a node appears in the solution ... This blows up into O(kd) nodes where ...

Every node in search space is a set of several partial plans. So not every action in a node appears in the solution ... This blows up into O(kd) nodes where ...

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GraphPlan - Construct a graph that encodes constraints on possible plans ... Props. Time 3. Actions. Time 3. Goals. at A L. at B L. at R L. fuel R. load A L. load B L. move L P ...

Construct a graph that encodes constraints on possible plans ... Props. Time 3. Actions. Time 3. Goals. at A L. at B L. at R L. fuel R. load A L. load B L. move L P ...

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Temporal Graphplan PowerPoint PPT Presentation

Temporal Graphplan - From SGP to TGP. TGP Graph Expansion. TGP Solution Extraction. Experiments. 3. Graphplan ... Effects occur at end (s d) Preconditions hold throughout. A. eff1 ...

From SGP to TGP. TGP Graph Expansion. TGP Solution Extraction. Experiments. 3. Graphplan ... Effects occur at end (s d) Preconditions hold throughout. A. eff1 ...

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Graphplan: Fast Planning through Planning Graph Analysis PowerPoint PPT Presentation

Graphplan: Fast Planning through Planning Graph Analysis - Graphplan: Fast Planning through Planning Graph Analysis Avrim Blum Merrick Furst Carnegie Mellon University

Graphplan: Fast Planning through Planning Graph Analysis Avrim Blum Merrick Furst Carnegie Mellon University

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Extending Graphplan to handle Resources PowerPoint PPT Presentation

Extending Graphplan to handle Resources - ... {At(Car, LC),Has-fuel(Car)} STRIPS ... uses mutexes of planning Graph to guide the search. ... of mutexes to direct the search for a plan. generate a ...

... {At(Car, LC),Has-fuel(Car)} STRIPS ... uses mutexes of planning Graph to guide the search. ... of mutexes to direct the search for a plan. generate a ...

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Building a Temporal Graphplan PowerPoint PPT Presentation

Building a Temporal Graphplan - loc-from AIRPORT) ( loc-to AIRPORT)) (preconds (at airplane loc-from )) (effects ... Different operator parameters should create different delays ...

loc-from AIRPORT) ( loc-to AIRPORT)) (preconds (at airplane loc-from )) (effects ... Different operator parameters should create different delays ...

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2/7: Knowledge-based Planning PowerPoint PPT Presentation

2/7: Knowledge-based Planning - Clearly Graphplan-based encodings are better than backward-proof based encodings ... TALPlan [Kvarnstrom & Doherty, 2000] Customization frameworks ...

Clearly Graphplan-based encodings are better than backward-proof based encodings ... TALPlan [Kvarnstrom & Doherty, 2000] Customization frameworks ...

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Decomposed Symbolic Approach to Reactive Planning PowerPoint PPT Presentation

Decomposed Symbolic Approach to Reactive Planning - Maps all possible initial states to the appropriate actions. State explosion problem ... RSCC = Ri. Similar to the Graphplan mutual exclusion rule. Interference: ...

Maps all possible initial states to the appropriate actions. State explosion problem ... RSCC = Ri. Similar to the Graphplan mutual exclusion rule. Interference: ...

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Life must be lived forward, but can only be understood backward.--Kierkegaard PowerPoint PPT Presentation

Life must be lived forward, but can only be understood backward.--Kierkegaard - Life must be lived forward, but can only be understood ... EBL based memos can be seen as unearthing hard mutexes (of all orders) Graphplan and Optimality ...

Life must be lived forward, but can only be understood ... EBL based memos can be seen as unearthing hard mutexes (of all orders) Graphplan and Optimality ...

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GamePlan: AN ADVERSARIAL PLANER IN MULTI-AGENT SYSTEM (A Preliminary Report) PowerPoint PPT Presentation

GamePlan: AN ADVERSARIAL PLANER IN MULTI-AGENT SYSTEM (A Preliminary Report) - GamePlan: AN ADVERSARIAL PLANER IN MULTI-AGENT SYSTEM (A Preliminary Report) Wenjin Lue and Kostas Stathis City University, London Dagstuhl, 26th November, 2002

GamePlan: AN ADVERSARIAL PLANER IN MULTI-AGENT SYSTEM (A Preliminary Report) Wenjin Lue and Kostas Stathis City University, London Dagstuhl, 26th November, 2002

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BLACKBOX:%20A%20New%20Paradigm%20for%20Planning PowerPoint PPT Presentation

BLACKBOX:%20A%20New%20Paradigm%20for%20Planning - Compact (Crawford & Auton 1996) ... solver compact -l -then satz -cutoff 25 -restart 10. Converting graph to wff. 6151 variables ...

Compact (Crawford & Auton 1996) ... solver compact -l -then satz -cutoff 25 -restart 10. Converting graph to wff. 6151 variables ...

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BLACKBOX: A New Approach to the Application of Theorem Proving to Problem Solving PowerPoint PPT Presentation

BLACKBOX: A New Approach to the Application of Theorem Proving to Problem Solving - 1. BLACKBOX: A New Approach to the Application of Theorem Proving to ... compare with Medic (Weld 1997), which translated STRIPS CNF directly. Act1. Act2. Fact ...

1. BLACKBOX: A New Approach to the Application of Theorem Proving to ... compare with Medic (Weld 1997), which translated STRIPS CNF directly. Act1. Act2. Fact ...

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Fast Planning through Planning Graph Analysis PowerPoint PPT Presentation

Fast Planning through Planning Graph Analysis - A non-linear, partial-order planer using forward construction and backward path ... Russel Stuart & Norvig Peter, Artificial Intelligence A Modern Approach, ...

A non-linear, partial-order planer using forward construction and backward path ... Russel Stuart & Norvig Peter, Artificial Intelligence A Modern Approach, ...

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GamePlan: AN ADVERSARIAL PLANER IN MULTI-AGENT SYSTEM (A Preliminary Report) - M12O: B11 X11 B12 O12. M13O: B11 X11 B13 O13. M23O: B11 X11 B23 O23. M31O: B11 X11 B31 O31 ... M12O: B33 X33 B12 O12. M13O: B33 X33 B13 O13. M23O: B33 X33 B23 ...

M12O: B11 X11 B12 O12. M13O: B11 X11 B13 O13. M23O: B11 X11 B23 O23. M31O: B11 X11 B31 O31 ... M12O: B33 X33 B12 O12. M13O: B33 X33 B13 O13. M23O: B33 X33 B23 ...

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Lecture 21 State-Space Search vs. Constraint-Based Planning PowerPoint PPT Presentation

Lecture 21 State-Space Search vs. Constraint-Based Planning - Title: 573 lecture 21 - planning continued Author: Henry Kautz Last modified by: Henry Kautz Created Date: 6/5/1997 6:05:21 PM Document presentation format

Title: 573 lecture 21 - planning continued Author: Henry Kautz Last modified by: Henry Kautz Created Date: 6/5/1997 6:05:21 PM Document presentation format

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Life must be lived forward, but can only be understood backward.--Kierkegaard - Currently, CSP people are trying to copy over the ideas from CHAFF to CSP. ... Davis Putnam ( Satz; RelSat; Chaff) Gsat. Direct vs. compiled solution extraction ...

Currently, CSP people are trying to copy over the ideas from CHAFF to CSP. ... Davis Putnam ( Satz; RelSat; Chaff) Gsat. Direct vs. compiled solution extraction ...

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Planning as Satisfiability with Blackbox PowerPoint PPT Presentation

Planning as Satisfiability with Blackbox - A disjunctive formula is a collection of one or more (positive and negative) ... eliminates in one shot all that can be eliminated and returns a smaller formula. ...

A disjunctive formula is a collection of one or more (positive and negative) ... eliminates in one shot all that can be eliminated and returns a smaller formula. ...

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Projection Global Consistency: Application in AI Planning PowerPoint PPT Presentation

Projection Global Consistency: Application in AI Planning - Trucks, Cranes, Locations. Counting argument. Clique decomposition ... Trucks of various capacities (small - 1 box, big - 2 boxes) Experiments: Refueling planes ...

Trucks, Cranes, Locations. Counting argument. Clique decomposition ... Trucks of various capacities (small - 1 box, big - 2 boxes) Experiments: Refueling planes ...

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Compilation Approaches to AI Planning 1 PowerPoint PPT Presentation

Compilation Approaches to AI Planning 1 - Some s are taken from presentations by Kautz and Selman. Please visit ... Replaces: drive(truck1 LA SF 5) With: (drive-arg1(truck1 5) ^ drive-arg2(LA 5) ...

Some s are taken from presentations by Kautz and Selman. Please visit ... Replaces: drive(truck1 LA SF 5) With: (drive-arg1(truck1 5) ^ drive-arg2(LA 5) ...

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1001%20Ways%20to%20Skin%20a%20Planning%20Graph%20for%20Heuristic%20Fun%20and%20Profit PowerPoint PPT Presentation

1001%20Ways%20to%20Skin%20a%20Planning%20Graph%20for%20Heuristic%20Fun%20and%20Profit - GP-HSP (AIPS 2000) Variable/Value ordering heuristics based on distances. Partial order planning ... GP-HSP (AIPS 2000); PEGG (IJCAI 2003; AAAI 1999] ...

GP-HSP (AIPS 2000) Variable/Value ordering heuristics based on distances. Partial order planning ... GP-HSP (AIPS 2000); PEGG (IJCAI 2003; AAAI 1999] ...

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SAPA: A Domain-independent Heuristic Temporal Planner PowerPoint PPT Presentation

SAPA: A Domain-independent Heuristic Temporal Planner - 3/25: Leaving STRIPS Planning and going to Sapa

3/25: Leaving STRIPS Planning and going to Sapa

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Planning: Part 3 Planning Graphs PowerPoint PPT Presentation

Planning: Part 3 Planning Graphs - Interference: one of the effects of one action is the negation of a precondition ... Competing needs: one of the preconditions of one action is mutually exclusive ...

Interference: one of the effects of one action is the negation of a precondition ... Competing needs: one of the preconditions of one action is mutually exclusive ...

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Effective Approaches for Partial Satisfaction (Over-subscription) Planning PowerPoint PPT Presentation

Effective Approaches for Partial Satisfaction (Over-subscription) Planning - Solves the PSP problem by encoding it as an integer program. Altaltps ... Solves the PSP problem through a goal selection heuristic. Sapaps ...

Solves the PSP problem by encoding it as an integer program. Altaltps ... Solves the PSP problem through a goal selection heuristic. Sapaps ...

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Putting Plans to Real Use PowerPoint PPT Presentation

Putting Plans to Real Use - Putting Plans to Real Use Intelligent Systems for Planning, Execution and Collaboration Planning - Key task - List of important and varied applications

Putting Plans to Real Use Intelligent Systems for Planning, Execution and Collaboration Planning - Key task - List of important and varied applications

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Heuristic Search Planners PowerPoint PPT Presentation

Heuristic Search Planners - Improvement in tire-world domain (with complex interactions) ... Still admissible, more informative than hmax, still cheap. Room for domain-dependent options? ...

Improvement in tire-world domain (with complex interactions) ... Still admissible, more informative than hmax, still cheap. Room for domain-dependent options? ...

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5/6: Summary and Decision Theoretic Planning PowerPoint PPT Presentation

5/6: Summary and Decision Theoretic Planning - Metric-Temporal Planning: Issues and Representation. Search ... (belief) state action tables. Deterministic Success: Must reach goal-state with probability 1 ...

Metric-Temporal Planning: Issues and Representation. Search ... (belief) state action tables. Deterministic Success: Must reach goal-state with probability 1 ...

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Unifying SAT-based and Graph-based Planning PowerPoint PPT Presentation

Unifying SAT-based and Graph-based Planning - relsat (Bayardo) - dependency directed backtracking: add new clauses ... C-MAXPLAN, ZANDER (Littman & Majercik 1999) Probabilistic planning via stochastic SAT ...

relsat (Bayardo) - dependency directed backtracking: add new clauses ... C-MAXPLAN, ZANDER (Littman & Majercik 1999) Probabilistic planning via stochastic SAT ...

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Planning and Scheduling PowerPoint PPT Presentation

Planning and Scheduling - Many planning problems have a time-dependent component. actions happen over time ... TGP action model. STRIPS actions, plus start time, end time, duration ...

Many planning problems have a time-dependent component. actions happen over time ... TGP action model. STRIPS actions, plus start time, end time, duration ...

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Utilizing Problem Structure in Local Search: The Planning Benchmarks as a Case Study PowerPoint PPT Presentation

Utilizing Problem Structure in Local Search: The Planning Benchmarks as a Case Study - HSP 1.0: approximate h by weight value sums ... Benches. Measured (amongst other things): maximal exit distance. h Topology in Small Instances ...

HSP 1.0: approximate h by weight value sums ... Benches. Measured (amongst other things): maximal exit distance. h Topology in Small Instances ...

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Satisfiability and State-Transition Systems: An AI Perspective PowerPoint PPT Presentation

Satisfiability and State-Transition Systems: An AI Perspective - Both the AI and CADE/CAV communities have long been concerned with reasoning ... 'Classic' work in AI has concentrated on STRIPS style planning ('state space' ...

Both the AI and CADE/CAV communities have long been concerned with reasoning ... 'Classic' work in AI has concentrated on STRIPS style planning ('state space' ...

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Scalable Knowledge Representation and Reasoning Systems PowerPoint PPT Presentation

Scalable Knowledge Representation and Reasoning Systems - Scalable Knowledge Representation and Reasoning Systems Henry Kautz AT&T Shannon Laboratories Introduction In recent years, we've seen substantial progress in scaling ...

Scalable Knowledge Representation and Reasoning Systems Henry Kautz AT&T Shannon Laboratories Introduction In recent years, we've seen substantial progress in scaling ...

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Artificial Intelligence 1: planning PowerPoint PPT Presentation

Artificial Intelligence 1: planning - Artificial Intelligence 1: planning Lecturer: Tom Lenaerts Institut de Recherches Interdisciplinaires et de D veloppements en Intelligence Artificielle (IRIDIA)

Artificial Intelligence 1: planning Lecturer: Tom Lenaerts Institut de Recherches Interdisciplinaires et de D veloppements en Intelligence Artificielle (IRIDIA)

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Flexible Reasoning with Functional Models PowerPoint PPT Presentation

Flexible Reasoning with Functional Models - Flexible Reasoning with Functional Models J. William Murdock Intelligent Decision Aids Group Navy Center for Applied Research in Artificial Intelligence

Flexible Reasoning with Functional Models J. William Murdock Intelligent Decision Aids Group Navy Center for Applied Research in Artificial Intelligence

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NMS PI meeting, September 27-29, 2000 PowerPoint PPT Presentation

NMS PI meeting, September 27-29, 2000 - We will define the formula for (P,n) such that: ... The formulas say nothing about what happens to facts if they are not effected by ...

We will define the formula for (P,n) such that: ... The formulas say nothing about what happens to facts if they are not effected by ...

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Refinement Planning: Status and Prospectus PowerPoint PPT Presentation

Refinement Planning: Status and Prospectus - A: A Unified Brand-name-Free Introduction to Planning. Subbarao ... De-clobbering: Force intervening steps to. preserve the condition. Book-keeping: (Optional) ...

A: A Unified Brand-name-Free Introduction to Planning. Subbarao ... De-clobbering: Force intervening steps to. preserve the condition. Book-keeping: (Optional) ...

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Project 1 returned; Feedback discussed PowerPoint PPT Presentation

Project 1 returned; Feedback discussed - U((P1(a),J(a)),(P1(x),J(x)) s = {x = a} consistent with x=z. S5.s Init. S1. S2. S3. S4 ... Compilation stage can be time consuming, leads to memory blow-up ...

U((P1(a),J(a)),(P1(x),J(x)) s = {x = a} consistent with x=z. S5.s Init. S1. S2. S3. S4 ... Compilation stage can be time consuming, leads to memory blow-up ...

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Planning as Search PowerPoint PPT Presentation

Planning as Search - No delete lists: NEXP. operators only need to appear once ... No negative preconds and no deletes: EXP ... No deletes: from NEXP to NP. No deletes and no ...

No delete lists: NEXP. operators only need to appear once ... No negative preconds and no deletes: EXP ... No deletes: from NEXP to NP. No deletes and no ...

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Introduction to Planning PowerPoint PPT Presentation

Introduction to Planning - Title: Introduction to Planning Author: Han Yu Last modified by: Rob Traub Created Date: 9/1/2002 9:29:18 PM Document presentation format: On-screen Show

Title: Introduction to Planning Author: Han Yu Last modified by: Rob Traub Created Date: 9/1/2002 9:29:18 PM Document presentation format: On-screen Show

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Artificial Intelligence PowerPoint PPT Presentation

Artificial Intelligence - Artificial Intelligence What is AI? Can machines think ? Can machines be truly autonomous? Can machines program themselves? Can machines learn?

Artificial Intelligence What is AI? Can machines think ? Can machines be truly autonomous? Can machines program themselves? Can machines learn?

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Wissensbasiertes Planen PowerPoint PPT Presentation

Wissensbasiertes Planen - Title: 6. Wissensbasiertes Planen Author: Brewka Last modified by: brewka Created Date: 10/29/2001 4:13:16 PM Document presentation format: Benutzerdefiniert

Title: 6. Wissensbasiertes Planen Author: Brewka Last modified by: brewka Created Date: 10/29/2001 4:13:16 PM Document presentation format: Benutzerdefiniert

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Planning as Logic: Why logic? PowerPoint PPT Presentation

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 ...

Planning as Logic: Why logic? Flexible language Range of expressive power/tractability Clear semantics and syntax Good solution processes Mature (older than computer ...

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Planning with Local Search PowerPoint PPT Presentation

Planning with Local Search - (have banjo)) ((swap banjo kiwi))) Preconds. Delete-effects. Add-effects ... (have banjo)) ((swap banjo kiwi))) State: (have banjo) (defdomain basic-example ...

(have banjo)) ((swap banjo kiwi))) Preconds. Delete-effects. Add-effects ... (have banjo)) ((swap banjo kiwi))) State: (have banjo) (defdomain basic-example ...

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Handling - Regression changes can be less committed! ... De-clobbering: Force intervening steps to. preserve the condition. Book-keeping: (Optional) ...

Regression changes can be less committed! ... De-clobbering: Force intervening steps to. preserve the condition. Book-keeping: (Optional) ...

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Sequential Monte Carlo in Probabilistic Planning Reachability Heuristics PowerPoint PPT Presentation

Sequential Monte Carlo in Probabilistic Planning Reachability Heuristics - Problem 1: Do not handle uncertain action effects ... Domains: Logistics, 10x10 Grid, Slippery Gripper, Sand-Castle-67. 6/8/2006. ICAPS'06 McLUG ...

Problem 1: Do not handle uncertain action effects ... Domains: Logistics, 10x10 Grid, Slippery Gripper, Sand-Castle-67. 6/8/2006. ICAPS'06 McLUG ...

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Review for the Final Exam PowerPoint PPT Presentation

Review for the Final Exam - Automated Planning: Theory and Practice Review for the Final Exam Dana S. Nau University of Maryland * *

Automated Planning: Theory and Practice Review for the Final Exam Dana S. Nau University of Maryland * *

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Planning as Satisfiability PowerPoint PPT Presentation

Planning as Satisfiability - 1. Modeling and Solving Planning Problems as ... ORL. NYC. 38. Pruning the Planning Graph. Category I Rules. Facts. Facts. Actions. Facts. Facts ... ORL. NYC ...

1. Modeling and Solving Planning Problems as ... ORL. NYC. 38. Pruning the Planning Graph. Category I Rules. Facts. Facts. Actions. Facts. Facts ... ORL. NYC ...

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Time Constraints in Planning PowerPoint PPT Presentation

Time Constraints in Planning - 20 (donate l2 l0 f2 f1 f0 f0 f1) 20 (load c0 v1 l0 s1 s0) Note Redundant actions ... (predicate vehicle-at 2) (predicate conn 2) (predicate has-fuel 2) (predicate ...

20 (donate l2 l0 f2 f1 f0 f0 f1) 20 (load c0 v1 l0 s1 s0) Note Redundant actions ... (predicate vehicle-at 2) (predicate conn 2) (predicate has-fuel 2) (predicate ...

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A preliminary analysis of AAAI-99 submissions PowerPoint PPT Presentation

A preliminary analysis of AAAI-99 submissions - Or self-selection among submissions because of reputation as archival conference? ... How to exist and cooperate/compete with speciality conferences. ...

Or self-selection among submissions because of reputation as archival conference? ... How to exist and cooperate/compete with speciality conferences. ...

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Ehsan Nazerfard PowerPoint PPT Presentation

Ehsan Nazerfard - construct a new rule from the generalized. Utility Problem. EBL in UCPOP ... When all the branches under P are failing, we can construct an explanation for P itself ...

construct a new rule from the generalized. Utility Problem. EBL in UCPOP ... When all the branches under P are failing, we can construct an explanation for P itself ...

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Chapter 11: Planning PowerPoint PPT Presentation

Chapter 11: Planning - Action(PutOn(Spare,Axle) PRECOND: At(Spare,Groundp) At(Flat,Axle) ... Consists of a sequence of levels that correspond to time steps in the plan. ...

Action(PutOn(Spare,Axle) PRECOND: At(Spare,Groundp) At(Flat,Axle) ... Consists of a sequence of levels that correspond to time steps in the plan. ...

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Heuristic POCL Planning PowerPoint PPT Presentation

Heuristic POCL Planning - Dominating planning paradigm in early 1990's ... UCPOP (Penberthy & Weld 1992) Theoretically appealing, but remained inefficient despite significant research ...

Dominating planning paradigm in early 1990's ... UCPOP (Penberthy & Weld 1992) Theoretically appealing, but remained inefficient despite significant research ...

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Fast Propositional Algorithms for Planning PowerPoint PPT Presentation

Fast Propositional Algorithms for Planning - Compile a planning problem in to a satisfiability problem (example of a ... Compiling Planning to SAT ... Compile a planning problem into a propositional ...

Compile a planning problem in to a satisfiability problem (example of a ... Compiling Planning to SAT ... Compile a planning problem into a propositional ...

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Artificial Intelligence 1: Planning - With ={p/P1,from/JFK,to/SFO} Thus the action is applicable. 6/25/09 ... (P2,SFO) Plane(P1) Plane(P2) Airport(JFK) Airport(SFO) ... Goal(At(C1,JFK) At(C2,SFO) ...

With ={p/P1,from/JFK,to/SFO} Thus the action is applicable. 6/25/09 ... (P2,SFO) Plane(P1) Plane(P2) Airport(JFK) Airport(SFO) ... Goal(At(C1,JFK) At(C2,SFO) ...

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Graphplan PowerPoint PPT Presentations