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, 2008
"... Building autonomous robots that can operate in various scenarios has long been a goal of research in Artificial Intelligence. Recent progress has been made on space exploration systems, and systems for autonomous driving. In line with this work, we present HANS, an autonomous mobile robot that navig ..."
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is performed on a GPS coordinate database donated by MAPA Ltd., and local path planning is implemented using the A * algorithm on a local grid map constructed by Even before John McCarthy coined the term Artificial Intelligence (A.I.) in the famous 1956 Dartmouth Conference[1], researchers of A.I. have been
Hierarchical GUI test case generation using automated planning
- IEEE Transactions on Software Engineering
, 2001
"... AbstractĂThe widespread use of GUIs for interacting with software is leading to the construction of more and more complex GUIs. With the growing complexity come challenges in testing the correctness of a GUI and its underlying software. We present a new technique to automatically generate test cases ..."
Abstract
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Cited by 80 (25 self)
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, which are input into a plan-generation system. The test designer also creates scenarios that represent typical initial and goal states for a GUI user. The planner then generates plans representing sequences of GUI interactions that a user might employ to reach the goal state from the initial state. We
Abductive plan recognition and diagnosis: A comprehensive empirical evaluation
- In Proceedings of the Third International Conference on Principles of Knowledge Representation and Reasoning
, 1992
"... While it has been realized for quite some time within AI that abduction is a general model of explanation for a variety of tasks, there have been no empirical investigations into the practical feasibility of a general, logic-based abductive approach to explanation. In this paper we present extensive ..."
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Cited by 23 (4 self)
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While it has been realized for quite some time within AI that abduction is a general model of explanation for a variety of tasks, there have been no empirical investigations into the practical feasibility of a general, logic-based abductive approach to explanation. In this paper we present
Probabilistic plan recognition for proactive assistant agents Jean Oh
"... Human users dealing with multiple objectives in a complex environment, e.g., mili-tary planners or emergency response operators, are subject to a high level of cognitive workload. When this load becomes an overload, it can severely impair the quality of the plans created. To address these issues, in ..."
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complex problem with uncertainty, and thus on plan recognition algorithms suitable for the target problem domain. Specifically, we discuss a generative model of plan recog-nition that represents user activities as an integrated planning and execution problem. We describe a proactive assistant agent
SEMAPLAN: Combining Planning with Semantic Matching to Achieve Web Service Composition, IBM Research Report Dong X. et al. 2004. Similarity search for Web services
- In Proc. VLDB
"... In this paper, we present a novel algorithm to compose Web services in the presence of semantic ambiguity by combining semantic matching and AI planning algorithms. We use cues from domain-independent and domain-specific ontologies to compute an overall semantic similarity score between ambiguous te ..."
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Cited by 22 (2 self)
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In this paper, we present a novel algorithm to compose Web services in the presence of semantic ambiguity by combining semantic matching and AI planning algorithms. We use cues from domain-independent and domain-specific ontologies to compute an overall semantic similarity score between ambiguous
On the Application of Planning and Scheduling Techniques to E-learning
- Proc. Int. Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE). Springer, LNAI 6096
, 2010
"... Abstract. AI planning techniques have been widely used in e-learning settings to create fully adapted courses to the specific needs, background and profile of students, but the practical issues of the real setting in which the course must be given have been traditionally ignored. In this paper, we p ..."
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Cited by 3 (3 self)
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Abstract. AI planning techniques have been widely used in e-learning settings to create fully adapted courses to the specific needs, background and profile of students, but the practical issues of the real setting in which the course must be given have been traditionally ignored. In this paper, we
Scenario Generation and Reduction for Long-term and Short-term Power System Generation Planning under Uncertainties
"... ii ..."
Using Plan-Based Reward Shaping To Learn Strategies in StarCraft: Broodwar
"... AbstractâStarCraft: Broodwar (SC:BW) is a very popular commercial real strategy game (RTS) which has been extensively used in AI research. Despite being a popular test-bed reinforcement learning (RL) has not been evaluated extensively. A successful attempt was made to show the use of RL in a smallsc ..."
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Cited by 4 (3 self)
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approaches must be used to tackle the state-space explosion. In this paper, we demonstrate how plan-based reward shaping can help an agent scale up to larger, more complex scenarios and significantly speed up the learning process as well as how high level planning can be combined with learning focusing
VALIDATION DEPLOYMENT SCENARIO
, 2009
"... under the Secretary of State for Justice, which has statutory and policy responsibility for Knowledge and Information Management (IM) for public sector information. It therefore sets standards and supports innovation on information management across the UK, in order to ensure the survival of records ..."
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of records in whichever form they are created, be it paper or digital, and provides practical frameworks of best practice for use of public sector information. In recognition that almost all the information created in government is now electronic, but that there is a risk that information risks becoming
Results 1 - 10
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105
