AAAI 1997 - PDF Preprint Papers

AAAI 1997

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AAAI
1997

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Case and Constraint-Based Apartment Construction Project Planning System: FASTrak-APT

14 years 23 days ago

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To effectively generate a fast and consistent apartment construction project network, Hyundai and KAIST have developed a case and constraint based project planning expert system f...

Kyoung Jun Lee, Hyun Woo Kim, Jae Kyu Lee, Tae Hwa...

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Id	Views	Title	Status

1	196	Case and Constraint-Based Apartment Construction Project Planning System: FASTrak-APT	claim
2	187	Attitude and Position Control Using Real-Time Color Tracking	claim
3	183	The Historical Development of Computer Chess and its Impact on Artificial Intelligence	claim
4	178	Intelligent Agents for the Synthetic Battlefield: A Company of Rotary Wing Aircraft	claim
5	173	The "Inverse Hollywood Problem": From Video to Scripts and Storyboards via Causal Analysis	claim
6	172	Agent Architectures for Flexible, Practical Teamwork	claim
7	163	Abductive Completion of Plan Sketches	claim
8	162	Template-Based Information Mining from HTML Documents	claim
9	159	Active Learning with Committees for Text Categorization	claim
10	157	The Scheduling of Rail at Union Pacific Railroad	claim
11	148	Qualitative Rigid Body Mechanics	claim
12	143	Building Concept Representations from Reusable Components	claim
13	139	Dynamic Prioritization of Complex Agents in Distributed Constraint Satisfaction Problems	claim
14	139	Automated Generation of Tracking Plans for a Network of Communications Antennas	claim
15	139	Model Minimization in Markov Decision Processes	claim
16	137	Effective Redundant Constraints for Online Scheduling	claim
17	136	The Anatomy of Chess Programs	claim
18	134	Worst-Case Absolute Loss Bounds for Linear Learning Algorithms	claim
19	134	Benefits of Learning in Negotiation	claim
20	133	Beyond Contention: Extending Texture-Based Scheduling Heuristics	claim
21	133	Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes	claim
22	133	ARIEL: Autonomous Robot for Integrated Exploration and Localization	claim
23	132	Ordered Semantic Hyper Linking	claim
24	131	Building Brains for Rooms: Designing Distributed Software Agents	claim
25	130	Using CSP Look-Back Techniques to Solve Real-World SAT Instances	claim
26	130	Bayes Networks for Estimating the Number of Solutions to a CSP	claim
27	129	Models of Continual Computation	claim
28	129	DISXPERT: A Social Security Disability Screening Expert System	claim
29	128	Navigation and Planning in a Mixed-Initiative User Interface	claim
30	128	Model Decomposition and Simulation: A Component Based Qualitative Simulation Algorithm	claim
31	128	PST: The Provider Selection Tool	claim
32	127	Tabu Search for SAT	claim
33	125	Rationale-Supported Mixed-Initiative Case-Based Planning	claim
34	125	Complex Goal Criteria and Its Application in Design-to-Criteria Scheduling	claim
35	124	Statistical Parsing with a Context-Free Grammar and Word Statistics	claim
36	124	Effective Bayesian Inference for Stochastic Programs	claim
37	123	James Bond and Michael Ovitz: The Secret Life of Agents	claim
38	122	Variable-Selection Heuristics in Local Search for SAT	claim
39	121	A Robust and Fast Action Selection Mechanism for Planning	claim
40	120	Autonomous Exploration: An Integrated Systems Approach	claim
41	119	Structured Solution Methods for Non-Markovian Decision Processes	claim
42	119	Summarizing CSP Hardness with Continuous Probability Distributions	claim
43	118	Representing Sequences in Description Logics	claim
44	118	Modularity Assumptions in Situated Agency	claim
45	118	Efficient Management of Very Large Ontologies	claim
46	118	Projective Relations for 3D Space: Computational Model, Application, and Psychological Evaluation	claim
47	114	Real-Time Full-Text Clustering of Networked Documents	claim
48	113	Noise, Non-Determinism and Spatial Uncertainty	claim
49	112	Planning with Concurrent Interacting Actions	claim
50	111	Query Optimization Using Local Completeness	claim
51	111	Combining Approximate Front End Signal Processing with Selective Reprocessing in Auditory Perception	claim
52	111	Model-Theoretic Semantics and Tractable Algorithm for CNF-BCP	claim
53	109	On Effort in AI Research: A Description Along Two Dimensions	claim
54	108	Experiments in UNIX Command Prediction	claim
55	108	The Dartmouth Mobile Robot: SK	claim
56	108	Are You Being Served?	claim
57	108	Smokey: Automatic Recognition of Hostile Messages	claim
58	107	Reinforcement Learning with Time	claim
59	107	Finding Optimal Solutions to Rubik's Cube Using Pattern Databases	claim
60	107	Case-Based Similarity Assessment: Estimating Adaptability from Experience	claim
61	105	Detecting and Reacting to Unplanned-for World States	claim
62	105	Applications of Rule-Base Coverage Measures to Expert System Evaluation	claim
63	105	Symbolic Nearest Mean Classifiers	claim
64	105	A Script-Based Approach to Modifying Knowledge Bases	claim
65	103	Evidence for Invariants in Local Search	claim
66	103	The Sounds of Silence: Towards Automated Evaluation of Student Learning in a Reading Tutor that Listens	claim
67	103	Attributing Intelligence to Humans and Machines: Between the Devil and the Deep Blue, See?	claim
68	101	From MiniMax to Manhattan	claim
69	100	Detecting Unsatisfiable CSPs by Coloring the Micro-Structure	claim
70	98	Machine Learning for Intelligent Systems	claim
71	98	Qualified Ramifications	claim
72	97	Chess Isn't Tough Enough: Better Games for Mind-Machine Competition	claim
73	97	Detecting Redundant Production Rules	claim
74	96	Using a Robot Control Architecture to Automate Space Shuttle Operations	claim
75	93	Maximizing the Benefits of Parallel Search Using Machine Learning	claim
76	93	Deep Blue is Still an Infant	claim
77	93	An Empirical Evaluation of Bagging and Boosting	claim
78	92	Tools for Assembling Modular Ontologies in Ontolingua	claim
79	92	The Scaling of Search Cost	claim
80	90	The Future of Chess-Playing Technologies and the Significance of Kasparov Versus deep Blue	claim
81	89	Dynamic Abstraction Planning	claim
82	89	If at First You Don't Succeed..	claim
83	84	Local Search Algorithms for Partial MAXSAT	claim
84	83	Stochastic Procedures for Generating Feasible Schedules	claim
85	80	Presenting and Analyzing the Results of AI Experiments: Data Averaging and Data Snooping	claim
86	78	Problem Structure in the Presence of Perturbations	claim

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