Reasoning in Highly Reactive Environments
The aim of my Ph.D. thesis concerns Reasoning in Highly Reactive Environments. As reasoning in highly reactive environments, we identify the setting in which a knowledge-based agent, with given goals, is deployed in an environment subject to repeated, sudden and possibly unknown changes. This is fo...
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| Format: | Article |
| Language: | English |
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Open Publishing Association
2019-09-01
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| Series: | Electronic Proceedings in Theoretical Computer Science |
| Online Access: | http://arxiv.org/pdf/1909.08260v1 |
| _version_ | 1811278604869304320 |
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| author | Francesco Pacenza |
| author_facet | Francesco Pacenza |
| author_sort | Francesco Pacenza |
| collection | DOAJ |
| description | The aim of my Ph.D. thesis concerns Reasoning in Highly Reactive Environments. As reasoning in highly reactive environments, we identify the setting in which a knowledge-based agent, with given goals, is deployed in an environment subject to repeated, sudden and possibly unknown changes. This is for instance the typical setting in which, e.g., artificial agents for video-games (the so called "bots"), cleaning robots, bomb clearing robots, and so on are deployed. In all these settings one can follow the classical approach in which the operations of the agent are distinguished in "sensing" the environment with proper interface devices, "thinking", and then behaving accordingly using proper actuators. In order to operate in an highly reactive environment, an artificial agent needs to be: 1. Responsive –> The agent must be able to react repeatedly and in a reasonable amount of time; 2. Elastic –> The agent must stay reactive also under varying workload; 3. Resilient –> The agent must stay responsive also in case of internal failure or failure of one of the programmed actions in the environment.
Nowadays, thanks to new technologies in the field of Artificial Intelligence, it is already technically possible to create AI agents that are able to operate in reactive environments. Nevertheless, several issues stay unsolved, and are subject of ongoing research. |
| first_indexed | 2024-04-13T00:38:53Z |
| format | Article |
| id | doaj.art-57167f4cee5341d6b33ab20ea157c2dc |
| institution | Directory Open Access Journal |
| issn | 2075-2180 |
| language | English |
| last_indexed | 2024-04-13T00:38:53Z |
| publishDate | 2019-09-01 |
| publisher | Open Publishing Association |
| record_format | Article |
| series | Electronic Proceedings in Theoretical Computer Science |
| spelling | doaj.art-57167f4cee5341d6b33ab20ea157c2dc2022-12-22T03:10:15ZengOpen Publishing AssociationElectronic Proceedings in Theoretical Computer Science2075-21802019-09-01306Proc. ICLP 201942042610.4204/EPTCS.306.57:132Reasoning in Highly Reactive EnvironmentsFrancesco Pacenza0 University of Calabria - Department of Mathematics and Computer Science The aim of my Ph.D. thesis concerns Reasoning in Highly Reactive Environments. As reasoning in highly reactive environments, we identify the setting in which a knowledge-based agent, with given goals, is deployed in an environment subject to repeated, sudden and possibly unknown changes. This is for instance the typical setting in which, e.g., artificial agents for video-games (the so called "bots"), cleaning robots, bomb clearing robots, and so on are deployed. In all these settings one can follow the classical approach in which the operations of the agent are distinguished in "sensing" the environment with proper interface devices, "thinking", and then behaving accordingly using proper actuators. In order to operate in an highly reactive environment, an artificial agent needs to be: 1. Responsive –> The agent must be able to react repeatedly and in a reasonable amount of time; 2. Elastic –> The agent must stay reactive also under varying workload; 3. Resilient –> The agent must stay responsive also in case of internal failure or failure of one of the programmed actions in the environment. Nowadays, thanks to new technologies in the field of Artificial Intelligence, it is already technically possible to create AI agents that are able to operate in reactive environments. Nevertheless, several issues stay unsolved, and are subject of ongoing research.http://arxiv.org/pdf/1909.08260v1 |
| spellingShingle | Francesco Pacenza Reasoning in Highly Reactive Environments Electronic Proceedings in Theoretical Computer Science |
| title | Reasoning in Highly Reactive Environments |
| title_full | Reasoning in Highly Reactive Environments |
| title_fullStr | Reasoning in Highly Reactive Environments |
| title_full_unstemmed | Reasoning in Highly Reactive Environments |
| title_short | Reasoning in Highly Reactive Environments |
| title_sort | reasoning in highly reactive environments |
| url | http://arxiv.org/pdf/1909.08260v1 |
| work_keys_str_mv | AT francescopacenza reasoninginhighlyreactiveenvironments |