Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 15 of 15 for “"Ai Planning"”.
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Heuristically guided constraint satisfaction for AI planning
Standard Planning Domain Definition Language (PDDL) planning problem definitions may be reformulated and solved using alternative techniques. One such paradigm, Constraint Programming (CP), has successfully been used in various planner architectures in recent years. The efficacy of a given …
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Enabling mechanisms for AI planning knowledge sharing, merging, and reuse
With the availability of cheap, powerful computers and the proliferation of the internet to connect them, recent trends in computing are focusing on peer-to-peer interoperation. From an intelligent systems perspective, cooperation and knowledge sharing between peer systems can enable each peer to …
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PDDL.jl: An Extensible Interpreter and Compiler Interface for Fast and Flexible AI Planning
The Planning Domain Definition Language (PDDL) is a formal specification language for symbolic planning problems and domains that is widely used by the AI planning community. However, most implementations of PDDL are closely tied to particular planning systems and algorithms, and are not designed …
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Application of AI planning and MBSE to the Study and Optimization of ConOps for Autonomous Robotic Space Exploration Systems
L'abstract è presente nell'allegato / the abstract is in the attachment
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Solving Nonlinear Constrained Optimization Problems Through Constraint Partitioning
… improvements over existing methods in AI planning and mathematical programming. We have applied our method to solve some large-scale AI planning problems, as well as some continuous and mixed-integer NLPs in standard benchmarks. We have solved some large-scale problems that were not …
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ALFA-Chains: An Artificial Intelligence Approach to Exploit Chain Discovery in Networks
Exploit chains play a crucial role in advanced persistent threats (APTs) and other malicious cyber campaigns. Sophisticated attackers can navigate across a network, escalate their privileges, and compromise valuable targets by executing the right exploits in the right order. However, finding these …
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INVESTIGATION INTO GAME-BASED CRISIS SCENARIO MODELLING AND SIMULATION SYSTEM
… is an infrequent and unpredictable event. Training and preparation process requires tools for representation of crisis context. Particularly, crisis events consist of different situations, which can occur at the same time combining into complex situation and becoming a challenge in …
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A Study of Autonomous Agents in Decision Support Systems
… on the topic of Artificial Intelligence (AI) planning. This review of the relevant literature provides a general background for the conceptual analyses and implementations that are carried out in the next two sections. In the second part, the literature on software agents is synthesized to …
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A comparison of block-stacking heuristics used by preschool children and classic artificial intelligence planning paradigms
… body of research in Psychology concerning human planning and problem-solving both by adults and children, the study of planning and problem-solving in the field of Artificial Intelligence has proceeded along its own development with very little concurrent exploration of the methods people use to …
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Optimal temporal planning using the plangraph framework
… past few years have seen a rapid development in AI Planning and Scheduling. Many algorithms and techniques have been studied and improved to deal with more complex and difficult planning domains. One such innovation was Graphplan, first developed by Blum and Furst in 1995 and soon became one of …
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Knowledge engineering techniques for automated planning
Formulating knowledge for use in AI Planning engines is currently some-thing of an ad-hoc process, where the skills of knowledge engineers and the tools they use may significantly influence the quality of the resulting planning application. There is little in the way of guidelines or standard …
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Approximate Dynamic Programming with Parallel Stochastic Planning Operators
… The agent learns a set of parallel stochastic planning operators (P-SPOs) by evaluating changes in its environment in response to actions, using an association rule mining approach. An approximate policy is then derived by iteratively improving state value aggregation estimates attached to the …
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Reasoning and decisions in partially observable games
… of decisions, possibly in the face of uncertainty about the state of the world and the decisions made by other agents. Such games can be expressed in the form of a tree. Game-theoretic solutions to two-player extensive form games are intractable in many cases. This thesis presents a complete …
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Optimized planning for managed wireless network management
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-05-01
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Flow Chemistry Guided by Computer-Aided Synthesis Planning
… advances, in part due to lack of experience in planning and executing synthetic sequences as well as often times incomplete communication of procedural information known only to expert practitioners. New tactics for planning and executing syntheses that disrupt conventional approaches to process …