Results 21 to 30 of about 297,292 (254)
Proceedings of the International Conference on Automated Planning and Scheduling, 2014 We propose a new problem we refer to as goal recognitiondesign (grd), in which we take a domain theory and a set ofgoals and ask the following questions: to what extent do theactions performed by an agent within the model reveal its objective, and what is the best way to modify a model so thatany agent acting in the model reveals its ...
Sarah Keren, Avigdor Gal, Erez Karpas
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IEEE Access, 2020 Recognizing the destination of a maneuvering agent is important to create intelligent AI players in Real Time Strategy (RTS) games. Among different ways of problem formulation, goal recognition can be solved as a model-based planning problem using off ...
Yunxiu Zeng +3 more
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Profile of Social Cohesion Ability of SDN 15 Pamatang Panjang Students, Sijunjung Regency
Soshum: Jurnal Sosial dan Humaniora, 2023 The importance of developing students' social cohesion attitudes cannot be separated from the heterogeneous conditions of Indonesian society. Cultural diversity, ethnicity, language, race, religion, and customs can cause differences in ...
Fadil Maiseptian +4 more
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Goal Identification Control Using an Information Entropy-Based Goal Uncertainty Metric
Entropy, 2019 Recent research has found situations where the identification of agent goals could be purposefully controlled, either by changing the underlying environment to make it easier, or exploiting it during agent planning to delay the opponent’s goal ...
Kai Xu, Quanjun Yin
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Behaviour Recognition with Kinodynamic Planning Over Continuous Domains
Frontiers in Artificial Intelligence, 2021 We investigate the application of state-of-the-art goal recognition techniques for behaviour recognition over complex continuous domains using model predictive control (MPC) for trajectory generation.
Grady Fitzpatrick +4 more
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Goal driven network pruning for object recognition
Pattern Recognition, 2021 Abstract Pruning studies up to date focused on uncovering a smaller network by removing redundant units, and fine-tuning to compensate accuracy drop as a result. In this study, unlike the others, we propose an approach to uncover a smaller network that is competent only in a specific task, similar to top-down attention mechanism in human visual ...
Cagri Kaplan, Abdullah Bulbul
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Comparison of Different Neural Network Training Algorithms with Application to Face Recognition [PDF]
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2018 Research in the field of face recognition has been popular for several decades. With advances in technology, approaches to solving this problems haves changed.
A. Vulovic +4 more
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The impact of temporally coherent visual and vibrotactile cues on speech recognition in noise [PDF]
JASA Express Letters, 2023 Inputs delivered to different sensory organs provide us with complementary speech information about the environment. The goal of this study was to establish which multisensory characteristics can facilitate speech recognition in noise.
Yonghee Oh +3 more
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, 2019 To coordinate with other systems, agents must be able to determine what the systems are currently doing and predict what they will be doing in the future---plan and goal recognition. There are many methods for plan and goal recognition, but they assume a passive observer that continually monitors the target system. Real-world domains, where information
Amato, Christopher, Baisero, Andrea
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Informatics in Education, 2021 The main goal of this research is to enhance the understanding of quality criteria for DB metadata for assessment and recognition as factors increasing their value in higher education (HE).
Elena TREPULĖ +4 more
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