Towards Parallel Selective Attention Using Psychophysiological States as the Basis for Functional Cognition
Attention is a complex cognitive process with innate resource management and information selection capabilities for maintaining a certain level of functional awareness in socio-cognitive service agents. The human-machine society depends on creating illusionary believable behaviors. These behaviors i...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/18/7002 |
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| author | Asma Kanwal Sagheer Abbas Taher M. Ghazal Allah Ditta Hani Alquhayz Muhammad Adnan Khan |
| author_facet | Asma Kanwal Sagheer Abbas Taher M. Ghazal Allah Ditta Hani Alquhayz Muhammad Adnan Khan |
| author_sort | Asma Kanwal |
| collection | DOAJ |
| description | Attention is a complex cognitive process with innate resource management and information selection capabilities for maintaining a certain level of functional awareness in socio-cognitive service agents. The human-machine society depends on creating illusionary believable behaviors. These behaviors include processing sensory information based on contextual adaptation and focusing on specific aspects. The cognitive processes based on selective attention help the agent to efficiently utilize its computational resources by scheduling its intellectual tasks, which are not limited to decision-making, goal planning, action selection, and execution of actions. This study reports ongoing work on developing a cognitive architectural framework, a Nature-inspired Humanoid Cognitive Computing Platform for Self-aware and Conscious Agents (NiHA). The NiHA comprises cognitive theories, frameworks, and applications within machine consciousness (MC) and artificial general intelligence (AGI). The paper is focused on top-down and bottom-up attention mechanisms for service agents as a step towards machine consciousness. This study evaluates the behavioral impact of psychophysical states on attention. The proposed agent attains almost 90% accuracy in attention generation. In social interaction, contextual-based working is important, and the agent attains 89% accuracy in its attention by adding and checking the effect of psychophysical states on parallel selective attention. The addition of the emotions to attention process produced more contextual-based responses. |
| first_indexed | 2024-03-09T22:34:03Z |
| format | Article |
| id | doaj.art-a2dbd87362eb4e468a84d0b83e23a497 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T22:34:03Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a2dbd87362eb4e468a84d0b83e23a4972023-11-23T18:52:47ZengMDPI AGSensors1424-82202022-09-012218700210.3390/s22187002Towards Parallel Selective Attention Using Psychophysiological States as the Basis for Functional CognitionAsma Kanwal0Sagheer Abbas1Taher M. Ghazal2Allah Ditta3Hani Alquhayz4Muhammad Adnan Khan5School of Computer Science, National College of Business Administration & Economics, Lahore 54000, PakistanSchool of Computer Science, National College of Business Administration & Economics, Lahore 54000, PakistanSchool of Information Technology, Skyline University College, University City Sharjah, Sharjah 1797, United Arab EmiratesDepartment of Information Sciences, Division of Science and Technology, University of Education, Lahore 54000, PakistanDepartment of Computer Science and Information, College of Science in Zulfi, Majmaah University, Al-Majmaah 11952, Saudi ArabiaDepartment of Software, Gachon University, Seongnam 13120, KoreaAttention is a complex cognitive process with innate resource management and information selection capabilities for maintaining a certain level of functional awareness in socio-cognitive service agents. The human-machine society depends on creating illusionary believable behaviors. These behaviors include processing sensory information based on contextual adaptation and focusing on specific aspects. The cognitive processes based on selective attention help the agent to efficiently utilize its computational resources by scheduling its intellectual tasks, which are not limited to decision-making, goal planning, action selection, and execution of actions. This study reports ongoing work on developing a cognitive architectural framework, a Nature-inspired Humanoid Cognitive Computing Platform for Self-aware and Conscious Agents (NiHA). The NiHA comprises cognitive theories, frameworks, and applications within machine consciousness (MC) and artificial general intelligence (AGI). The paper is focused on top-down and bottom-up attention mechanisms for service agents as a step towards machine consciousness. This study evaluates the behavioral impact of psychophysical states on attention. The proposed agent attains almost 90% accuracy in attention generation. In social interaction, contextual-based working is important, and the agent attains 89% accuracy in its attention by adding and checking the effect of psychophysical states on parallel selective attention. The addition of the emotions to attention process produced more contextual-based responses.https://www.mdpi.com/1424-8220/22/18/7002bottom-up attentioncognitive agentparallel selective attentionpsychophysiological statestop-down attention |
| spellingShingle | Asma Kanwal Sagheer Abbas Taher M. Ghazal Allah Ditta Hani Alquhayz Muhammad Adnan Khan Towards Parallel Selective Attention Using Psychophysiological States as the Basis for Functional Cognition Sensors bottom-up attention cognitive agent parallel selective attention psychophysiological states top-down attention |
| title | Towards Parallel Selective Attention Using Psychophysiological States as the Basis for Functional Cognition |
| title_full | Towards Parallel Selective Attention Using Psychophysiological States as the Basis for Functional Cognition |
| title_fullStr | Towards Parallel Selective Attention Using Psychophysiological States as the Basis for Functional Cognition |
| title_full_unstemmed | Towards Parallel Selective Attention Using Psychophysiological States as the Basis for Functional Cognition |
| title_short | Towards Parallel Selective Attention Using Psychophysiological States as the Basis for Functional Cognition |
| title_sort | towards parallel selective attention using psychophysiological states as the basis for functional cognition |
| topic | bottom-up attention cognitive agent parallel selective attention psychophysiological states top-down attention |
| url | https://www.mdpi.com/1424-8220/22/18/7002 |
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