Incrementally Autonomous Light Weight Agent Architectures For Optimization Task
Computer Engineering Project Topics
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An agent oriented software engineering paradigm has been applied in solving engineeringrnproblems. In this work, agent architecture is developed that is suitable to solve a givenrnproblem. The system is developed progressively beginning from simple expert system torna system where agents learn to solve a given task based on some performance measurernand agent architecture. Self-organization, emergence of global behavior and learning atrnpopulation are considered while designing the agent architecture. Different ways ofrninteraction and cooperation between agents are used to realize the collaboration amongrnthem. The transfer of problem solving task from human being to agents is clearlyrnelaborated in the test scenario chosen for the wor
Subsurface Intelligence & Critical Mineral Exploration
Modern Geology projects now focus on Machine Learning in Mineral Targeting, Carbon Capture & Storage (CCS) Geologic Modeling, and Critical Mineral Systems (Lithium, REEs). If your research involves Hydrogeological Connectivity, Seismic Inversion, or Geotechnical Site Characterization, ensure your analysis follows the JORC or NI 43-101 reporting standards and utilizes robust 3D Subsurface Visualization and Geochemical Fingerprinting frameworks.
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