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Hence, in our research, we focus on the combination of symbolic and data-driven methods to hybrid methods for goal recognition and their application in the ...
Abstract—Recently, there is an increased research interest in context-aware systems that are able to autonomously and intelligently support users with their ...
Hence, in our research, we focus on the combination of symbolic and data-driven methods to hybrid methods for goal recognition and their application in the ...
Combining the symbolic with the data-driven skill recognition utilizes the strength of both approaches. We therefore define manipulation skills such as pick, ...
Goal recognition is the task of recognizing the goal(s) of an observed agent from a possibly incomplete sequence of actions executed by an observed agent.
method for online goal recognition that combines a symbolic planning landmark based approach and a data-driven goal recognition approach and evaluate it in ...
Aug 10, 2023 · Researchers are exploring how to combine these powerful statistical models with neurosymbolic methods that incorporate logical reasoning and structure.
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Jul 31, 2024 · Neuro-symbolic AI combines the pattern recognition strengths of neural networks with the logical reasoning and interpretability of symbolic AI, ...
Jun 10, 2024 · This article aims to explore the key advances in symbolic AI, tracing its development from the early theoretical foundations to contemporary hybrid approaches.
Jul 11, 2024 · This article explores the convergence of connectionist and symbolic artificial intelligence (AI), from historical debates to contemporary advancements.