Reasoning based on consolidated real world experience acquired by a humanoid robot
| Autor: | Gregoire Pointeau, Peter Ford Dominey, Maxime Petit |
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| Rok vydání: | 2016 |
| Předmět: |
Linguistics and Language
Reasoning system Knowledge representation and reasoning business.industry Communication 05 social sciences 02 engineering and technology Procedural knowledge 050105 experimental psychology Language and Linguistics Human-Computer Interaction Body of knowledge Knowledge-based systems Human–computer interaction 0202 electrical engineering electronic engineering information engineering Domain knowledge 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences Animal Science and Zoology Artificial intelligence business Psychology iCub Humanoid robot |
| Zdroj: | Interaction Studies. 17:248-278 |
| ISSN: | 1572-0381 1572-0373 |
| Popis: | The development of reasoning systems exploiting expert knowledge from interactions with humans is a non-trivial problem, particularly when considering how the information can be coded in the knowledge representation. For example, in human development, the acquisition of knowledge at one level requires the consolidation of knowledge from lower levels. How is the accumulated experience structured to allow the individual to apply knowledge to new situations, allowing reasoning and adaptation? We investigate how this can be done automatically by an iCub that interacts with humans to acquire knowledge via demonstration. Once consolidated, this knowledge is used in further acquisitions of experience concerning preconditions and consequences of actions. Finally, this knowledge is translated into rules that allow reasoning and planning for novel problem solving, including a Tower of Hanoi scenario. We thus demonstrate proof of concept for an interaction system that uses knowledge acquired from human interactions to reason about new situations. |
| Databáze: | OpenAIRE |
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