Using affective criteria in the decision-making of cognitive agents on flexible passenger transportation domain

Cabrera‐Paniagua, Daniel; Azola, César; Rubilar-Torrealba, Rolando

doi:10.1007/s12652-022-04344-4

Cited by 10 publications

(4 citation statements)

References 44 publications

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“…In this case, the passenger agent acquires information from his previous trips (from the somaticIndex variable). About the User Equilibrium criterion 56 and the present research work, it is possible to indicate that: (1) in the conformation of each route option, the information about each route segment is known during the route generation process itself (since the algorithm for path generation, presented by 51 , is a constructive algorithm in nature); (2) the passenger agent will not necessarily select the route option with the lowest cost or time; (3) the passenger agent profiles have different characteristics that differentiate them from each other.…”

Section: Discussionmentioning

confidence: 97%

“…Our artificial mental model presents three levels and two cognitive layers (whereas Minsky's model 50 suggested seven levels). The algorithm of the present research work, specifically in line (5), assumes that another additional algorithm operates generating routes (presented by 51 ). Meanwhile, the somatic marker hypothesis presented by Damasio 18 , was not applied by himself at an artificial level.…”

Section: Discussionmentioning

confidence: 99%

“…The passenger agent then submits their request. The algorithm utilizes the route determination algorithm designed and presented by 51 . Upon receiving travel proposals, the passenger agent calculates the travel time, distance, cost, and utility for each route.…”

Section: Mechanisms Descriptionmentioning

confidence: 99%

See 2 more Smart Citations

Bio-inspired artificial somatic index for reflecting the travel experience of passenger agents under a flexible transportation scenario

Cabrera-Paniagua,

Flores,

Rubilar-Torrealba

et al. 2023

Sci Rep

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This work analyzes the implementation of an artificial mechanism inspired by a biological somatic marker that ables a passenger agent to both, react to changes in the service, as well as keep said reactions as a memory for future decisions. An artificial mental model was designed, and the passenger agent was implemented as an autonomous decision-making system, where both, the choice of the transport operator and the evaluation of the received service were fully delegated to the system. The evaluation of the service experience is not only based on rational aspects (such as the cost of the trip) but also on subjective aspects related to the satisfaction level derived from the passenger's experience. The experimental scenario considered 10,000 trip requests simulated within an artificial map that emulates characteristics that are usually present in a city, such as vehicular congestion, the unsafety of certain streets, or the benefits of an area with tourist interest. The results show that the option to travel under a transport operator with a touristic profile is a trend. Unlike current cases in the industry, this research work explores the scenario where the passenger can have as a client a trip profile with memory, differentiated from other clients, and can receive more than one trip proposal for the same trip request, according to the different conditions that the passenger is looking for.

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Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Bio-inspired artificial somatic index for reflecting the travel experience of passenger agents under a flexible transportation scenario

Cabrera-Paniagua,

Flores,

Rubilar-Torrealba

et al. 2023

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…Static errors need to be eliminated by kinematic calibration which can be transformed into a multi-objective optimization problem. Multi-objective optimization methods are widely used in transportation [10], power systems [31,35], geophysics [38] and performance prediction [2,20] domains. It is necessary to reduce the function dimension [19,27,30] when solve multi-objective optimization problems of complex systems.…”

Section: Static Errors Self-calibrationmentioning

confidence: 99%

Calibration of Static Errors and Compensation of Dynamic Errors for Cable-driven Parallel 3D Printer

Qian,

Jiang,

Qian

et al. 2024

J Intell Robot Syst

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As rigid robots suffer from the higher inertia of their rigid links, cable-driven parallel robots (CDPRs) are more suitable for large-scale three-dimensional (3D) printing tasks due to their outstanding reconfigurability, high load-to-weight ratio, and extensive workspace. In this paper, a parallel 3D printing robot is proposed, comprising three pairs of driving cables to control the platform motion and three pairs of redundant cables to adjust the cable tension. To improve the motion accuracy of the moving platform, the static kinematic error model is established, and the error sensitivity coefficient is determined to reduce the dimensionality of the optimization function. Subsequently, the self-calibration positions are determined based on the maximum cable length error in the reachable workspace. A self-calibration method is proposed based on the genetic algorithm to solve the kinematic parameter deviations. Additionally, the dynamic errors are effectively reduced by compensating for the elastic deformation errors of the cable lengths. Furthermore, an experimental prototype is developed. The results of dynamic error compensation after the self-calibration indicate a 67.4% reduction in terms of the maximum error along the Z-axis direction. Finally, the developed prototype and proposed calibration and compensation methods are validated through the printing experiment.

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An energy flow analysis for multibody dynamic behavior of cable-membrane system

Hu,

Yu,

et al. 2024

Nonlinear Dyn

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Using affective criteria in the decision-making of cognitive agents on flexible passenger transportation domain

Cited by 10 publications

References 44 publications

Bio-inspired artificial somatic index for reflecting the travel experience of passenger agents under a flexible transportation scenario

Bio-inspired artificial somatic index for reflecting the travel experience of passenger agents under a flexible transportation scenario

Calibration of Static Errors and Compensation of Dynamic Errors for Cable-driven Parallel 3D Printer

An energy flow analysis for multibody dynamic behavior of cable-membrane system

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