Redirigiendo al acceso original de articulo en 20 segundos...
Inicio  /  Applied Sciences  /  Vol: 10 Par: 20 (2020)  /  Artículo
ARTÍCULO
TITULO

Framework for Incorporating Artificial Somatic Markers in the Decision-Making of Autonomous Agents

Daniel Cabrera    
Claudio Cubillos    
Enrique Urra and Rafael Mellado    

Resumen

The somatic marker hypothesis proposes that when a person faces a decision scenario, many thoughts arise and different ?physical consequences? are fleetingly observable. It is generally accepted that affective dimension influences cognitive capacities. Several proposals for including affectivity within artificial systems have been presented. However, to the best of our knowledge, a proposal that considers the incorporation of artificial somatic markers in a disaggregated and specialized way for the different phases that make up a decision-making process has not been observed yet. Thus, this research work proposes a framework that considers the incorporation of artificial somatic markers in different phases of the decision-making of autonomous agents: recognition of decision point; determination of the courses of action; analysis of decision options; decision selection and performing; memory management. Additionally, a unified decision-making process and a general architecture for autonomous agents are presented. This proposal offers a qualitative perspective following an approach of grounded theory, which is suggested when existing theories or models cannot fully explain or understand a phenomenon or circumstance under study. This research work represents a novel contribution to the body of knowledge in guiding the incorporation of this biological concept in artificial terms within autonomous agents.

 Artículos similares

       
 
Haibo Chu, Zhuoqi Wang and Chong Nie    
Accurate and reliable monthly streamflow prediction plays a crucial role in the scientific allocation and efficient utilization of water resources. In this paper, we proposed a prediction framework that integrates the input variable selection method and ... ver más
Revista: Water

 
Jih-Jeng Huang and Chin-Yi Chen    
The Analytic Hierarchy Process (AHP) has been a widely used multi-criteria decision-making (MCDM) method since the 1980s because of its simplicity and rationality. However, the conventional AHP assumes criteria independence, which is not always accurate ... ver más
Revista: Algorithms

 
Zhengwei Wang, Haitao Gu, Jichao Lang and Lin Xing    
This study verifies the effects of deployment parameters on the safe separation of Autonomous Underwater Vehicles (AUVs) and mission payloads. The initial separation phase is meticulously modeled based on computational fluid dynamics (CFD) simulations em... ver más

 
Fátima Trindade Neves, Manuela Aparicio and Miguel de Castro Neto    
In the rapidly evolving landscape of urban development, where smart cities increasingly rely on artificial intelligence (AI) solutions to address complex challenges, using AI to accurately predict real estate prices becomes a multifaceted and crucial tas... ver más
Revista: Applied Sciences

 
Bikram Kesharee Patra, Rocio L. Segura and Ashutosh Bagchi    
This study addresses the vital issue of the variability associated with modeling decisions in dam seismic analysis. Traditionally, structural modeling and simulations employ a progressive approach, where more complex models are gradually incorporated. Fo... ver más
Revista: Infrastructures