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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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Learning to Improve the Quality of Plans Produced by Partialorder Planners PowerPoint PPT Presentation

Learning to Improve the Quality of Plans Produced by Partialorder Planners - at-object(parcel, postoffice) at-truck(truck1, postoffice) at-plane(plane1, airport) at-object(parcel, airport) STRIPS encoding of the Logistics Transportation Domain ...

at-object(parcel, postoffice) at-truck(truck1, postoffice) at-plane(plane1, airport) at-object(parcel, airport) STRIPS encoding of the Logistics Transportation Domain ...

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Architecture%20of%20Incident%20Management%20Systems. PowerPoint PPT Presentation

Architecture%20of%20Incident%20Management%20Systems. - Title: Planning Author: Mathijs Last modified by: Jonne Created Date: 10/6/2000 11:27:35 AM Document presentation format: On-screen Show Company: Delft University of ...

Title: Planning Author: Mathijs Last modified by: Jonne Created Date: 10/6/2000 11:27:35 AM Document presentation format: On-screen Show Company: Delft University of ...

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PXML: Probabilistic Semistructured Databases PowerPoint PPT Presentation

PXML: Probabilistic Semistructured Databases - Surveillance applications monitoring a region of battlefield ... is surely 15. Convoy 2 may have a truck of type mac and/or a truck of type rover ...

Surveillance applications monitoring a region of battlefield ... is surely 15. Convoy 2 may have a truck of type mac and/or a truck of type rover ...

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PIXML: Probabilistic Semistructured Databases PowerPoint PPT Presentation

PIXML: Probabilistic Semistructured Databases - Surveillance applications monitoring a region of battlefield ... is surely 15. Convoy 2 may have a truck of type mac and/or a truck of type rover ...

Surveillance applications monitoring a region of battlefield ... is surely 15. Convoy 2 may have a truck of type mac and/or a truck of type rover ...

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Computational Web Intelligence for Wired and Wireless Applications PowerPoint PPT Presentation

Computational Web Intelligence for Wired and Wireless Applications - Title: No Slide Title Author: Kurt Jack Wayne Last modified by: cscyqz Created Date: 4/4/2001 7:25:26 PM Document presentation format: On-screen Show (4:3)

Title: No Slide Title Author: Kurt Jack Wayne Last modified by: cscyqz Created Date: 4/4/2001 7:25:26 PM Document presentation format: On-screen Show (4:3)

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Automatic Discovery and Exploitation of Domain Knowledge in Planning as Constraint Satisfaction PowerPoint PPT Presentation

Automatic Discovery and Exploitation of Domain Knowledge in Planning as Constraint Satisfaction - Automatic Discovery and Exploitation of Domain Knowledge in Planning as Constraint Satisfaction Steve Wolfman

Automatic Discovery and Exploitation of Domain Knowledge in Planning as Constraint Satisfaction Steve Wolfman

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Selection Trees PowerPoint PPT Presentation

Selection Trees - Selection Trees. Winner trees. Loser Trees. Winner Trees. Complete binary tree with n external nodes and n - 1 internal nodes. ...

Selection Trees. Winner trees. Loser Trees. Winner Trees. Complete binary tree with n external nodes and n - 1 internal nodes. ...

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Managing Uncertainty in Semistructured Databases and Spatiotemporal Databases PowerPoint PPT Presentation

Managing Uncertainty in Semistructured Databases and Spatiotemporal Databases - Managing Uncertainty in Semistructured Databases and Spatiotemporal Databases. Edward Hung ... Uncertain spatiotemporal databases. Related work. 9/23/09. 3 ...

Managing Uncertainty in Semistructured Databases and Spatiotemporal Databases. Edward Hung ... Uncertain spatiotemporal databases. Related work. 9/23/09. 3 ...

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Computational Web Intelligence for Wired and Wireless Applications - WI = AI IT ... crisp logic and rules in AI, and fuzzy logic and rules in CI (Zadeh) ... Machine Perception and Artificial Intelligence, volume 58, World ...

WI = AI IT ... crisp logic and rules in AI, and fuzzy logic and rules in CI (Zadeh) ... Machine Perception and Artificial Intelligence, volume 58, World ...

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Temporal Graph Plan PowerPoint PPT Presentation

Temporal Graph Plan - TGP. Actions. Real duration. Concurrent. Thrust. comlink. Heater. closevalve ... TGP Limitations. Actions. Preconditions hold throughout. Effects occur at end ...

TGP. Actions. Real duration. Concurrent. Thrust. comlink. Heater. closevalve ... TGP Limitations. Actions. Preconditions hold throughout. Effects occur at end ...

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ASN.1,%20MSC,%20SDL%20and%20TTCN%20Today PowerPoint PPT Presentation

ASN.1,%20MSC,%20SDL%20and%20TTCN%20Today - Specification and modeling languages, methodologies for system ... (x,y) t3 [0.5] t2. tmr. use2. timer start symbol. timer name. timer instance name (optional) ...

Specification and modeling languages, methodologies for system ... (x,y) t3 [0.5] t2. tmr. use2. timer start symbol. timer name. timer instance name (optional) ...

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Case study - Title: Describe the three elements inherent in the definition of business Author: Tom McFarland Last modified by: fsh Created Date: 4/5/2000 6:27:24 PM

Title: Describe the three elements inherent in the definition of business Author: Tom McFarland Last modified by: fsh Created Date: 4/5/2000 6:27:24 PM

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Chapter 11: Collection of objects PowerPoint PPT Presentation

Chapter 11: Collection of objects - Chapter 11: Collection of objects In actual programs, always there is need to create and manipulate objects Number of objects is not known at compile time

Chapter 11: Collection of objects In actual programs, always there is need to create and manipulate objects Number of objects is not known at compile time

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Planning as X X SAT, CSP, ILP, PowerPoint PPT Presentation

Planning as X X SAT, CSP, ILP, - Some s are taken from presentations by Kautz, Selman, Weld, and Kambhampati. ... Fly(P1 JFK SFO 0) At(P1 JFK 0) Excellent book on situation calculus: ...

Some s are taken from presentations by Kautz, Selman, Weld, and Kambhampati. ... Fly(P1 JFK SFO 0) At(P1 JFK 0) Excellent book on situation calculus: ...

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PIXML: Probabilistic Semistructured Databases - Semistructured Data Model. Instance S=(V, lch, t, val) ... PIXML Data Model. Probabilistic instance I = (V, lch, t, val, card, ipf) ...

Semistructured Data Model. Instance S=(V, lch, t, val) ... PIXML Data Model. Probabilistic instance I = (V, lch, t, val, card, ipf) ...

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