Answering Imprecise Queries over Autonomous Web Databases ... Suppose a user wishes to search for sedans priced around $10,000 in a used car database. Table ...
Artificial Intelligence Spiffy Introduction to AI Some s from: Subbarao Kambhampati, Arizona State University MTU May 2000: SCIFINANCE synthesizes programs for ...
(which is actually more of the former and less of the latter) Subbarao Kambhampati http://rakaposhi.eas.asu.edu/cse574 Personnel Instructor: Subbarao Kambhampati No ...
Title: Recupera o de Informa o B Author: berthier Last modified by: Subbrao Kambhampati Created Date: 8/30/1999 5:37:47 PM Document presentation format
Menkes van den Briel. Subbarao Kambhampati. Arizona State University. PSPUD ... (Smith, ICAPS 2004; van den Briel, et al., AAAI 2004) Action Cost/Goal Achievement ...
Planning for Human-Robot Teaming Kartik Talamadupula Subbarao Kambhampati J. Benton Dept. of Computer Science Arizona State University Paul Schermerhorn
... be represented by an incidence matrix of size |S|x|S ... Spare Tire Example. A: A Unified Brand-name-Free Introduction to Planning. Subbarao Kambhampati ...
j.benton@asu.edu. Subbarao Kambhampati. Department of Computer Science. Arizona ... j.benton@asu.edu. Minh Do - PARC. Planning with Goal Utility Dependencies ...
Dr. Lavanya Reddy, Dr. Ravindranath Kambhampaty, Dr. Babu Vadlamudy. Event : Sacred Space Dance ... Mr. Ramakrishna Gutta (15th TANA Conference Resolution ...
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: ...
User queries refer to the mediated schema. Data is stored in the sources in a local schema. ... Closed world assumption vs. open world? Kambhampati & Knoblock ...
(A Critique of Knowledge-based Planning Track at ICP) Subbarao Kambhampati ... annual polemics and laments about lack of interest in 'Knowledge-based planning' ...
Title: CS4811 Introduction Author: Nilufer Onder Last modified by: Soner Onder Created Date: 8/22/1997 9:08:10 AM Document presentation format: Overhead
Department of Industrial Engineering. Arizona State University. menkes@asu.edu ... Creating a computer program to produce a plan, a sequence of actions that will ...
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 ...
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 ...
On the other hand, uniform probability conditional planners scale very well, but ... scale and generate high quality plans when using actions with non uniform costs. ...
Putting Plans to Real Use Intelligent Systems for Planning, Execution and Collaboration Planning - Key task - List of important and varied applications
and it has gradually become less and less important with the advent of fast ... While model-intensive planning continues to have a place (e.g. NASA), we should ...
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 ...
(move t loc1) (at t loc1) (at p1 loc2) utility((at t loc1)) = 10 ... heuristic value at initial state versus optimal plan. Found using a branch and bound search ...
Over-subscription Planning. Goals optional & have utility. Actions have cost ... Modeling Numeric Goal Over-subscription. Achieve with a given utility. Specify ...
Challenges in Adapting Automated Planning for Autonomic Computing ... A is a set of actions, Ai with. Aipre (preconditions) Aipost (postconditions) drawn from P ...
Which is better than 'no way at all' MA2: Recent Advances in AI Planning: A ... conflict resolution etc..); eliminating that will make HTN planning a no-brainer ...
Arizona State University. Phoenix. LA. Flagstaff. Phoenix. LA. Flagstaff. Phoenix. LA. Flagstaff ... Flagstaff. Phoenix. LA. Flagstaff. I won't fall into that ...
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 ...
Dominating planning paradigm in early 1990's ... UCPOP (Penberthy & Weld 1992) Theoretically appealing, but remained inefficient despite significant research ...
Essence of Temporal Planning. Required Concurrency. Temporally Simple ... is the essence of temporal planning ... required concurrency: Temporal gap ...
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 ...
Context-Aware Mobile Computing: Learning Context-Dependent Personal ... Sensor Data,' Artificial Neural Networks ICANN 2001, G. Dorffner, H. Bischof, ...
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) ...
Pf. Pb. Pp. The Tastes great/ Less Filling holy wars. Integrating Planning & Scheduling ... Admissible but not very informed. Sum heuristic: h(S) = p S lev({p} ...
About 7-8 speakers will be given 5 minutes each to talk about what they think ... Rage rage against the dying of the light --Dylan Thomas. We now present you a bevy of ...
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 ...