AI-based Problem Solving and Planning

This study proposes a methodology to improve the quality of decision-making in the software development project under uncertain conditions. To deal with the uncertainty and vagueness from subjective perception and experience of humans in the decision process, a methodology based on the extent fuzzy analytic hierarchy…

• GÜLÇİN BÜYÜKÖZKAN FEYZİOĞLU

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• KUTLUHAN EROL

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• KUTLUHAN EROL

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• MEHMET REŞİT TOLUN
• SEDA ŞAHİN

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• REZA ZARE HASSANPOUR

We present a formal framework that combines high-level representation and causality-based reasoning with low-level geometric reasoning and motion planning. The frame-work features bilateral interaction between task and motion planning, and embeds geometric reasoning in causal reasoning, thanks to several advantages in…

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• TONGUÇ ÜNLÜYURT

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• VOLKAN PATOĞLU

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• ESRA ERDEM PATOĞLU

We introduce a novel computational method for geometric rearrangement of multiple movable objects on a cluttered surface, where objects can change locations more than once by pick and/or push actions. This method consists of four stages: (i) finding tentative collision-free final configurations for all objects (all th…

This work aims for bottom-up and autonomous development of symbolic planning operators from continuous interaction experience of a manipulator robot that explores the environment using its action repertoire. Development of the symbolic knowledge is achieved in two stages. In the first stage, the robot explores the env…

To increase the quality of decision making in construction companies, organizational memory should be enhanced and utilized effectively. Experiences of other companies should constitute an important part of organizational memory so that a construction company may have the chance to learn from the experiences of others…