Understanding the complexity of simple decisions: Modeling multiple behaviors and switching strategies.

Decision ◽  
2019 ◽  
Vol 6 (4) ◽  
pp. 335-368
Author(s):  
Michael D. Lee ◽  
Kevin A. Gluck ◽  
Matthew M. Walsh
2013 ◽  
Author(s):  
Patricia J. Jordan ◽  
Kerry E. Evers ◽  
Laurel King ◽  
Viil Lid ◽  
Claudio R. Nigg
Keyword(s):  

Robotics ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Victor Massagué Respall ◽  
Stefano Nolfi

We investigate whether standard evolutionary robotics methods can be extended to support the evolution of multiple behaviors by forcing the retention of variations that are adaptive with respect to all required behaviors. This is realized by selecting the individuals located in the first Pareto fronts of the multidimensional fitness space in the case of a standard evolutionary algorithms and by computing and using multiple gradients of the expected fitness in the case of a modern evolutionary strategies that move the population in the direction of the gradient of the fitness. The results collected on two extended versions of state-of-the-art benchmarking problems indicate that the latter method permits to evolve robots capable of producing the required multiple behaviors in the majority of the replications and produces significantly better results than all the other methods considered.


2021 ◽  
Vol 11 (8) ◽  
pp. 3430
Author(s):  
Erik Cuevas ◽  
Héctor Becerra ◽  
Héctor Escobar ◽  
Alberto Luque-Chang ◽  
Marco Pérez ◽  
...  

Recently, several new metaheuristic schemes have been introduced in the literature. Although all these approaches consider very different phenomena as metaphors, the search patterns used to explore the search space are very similar. On the other hand, second-order systems are models that present different temporal behaviors depending on the value of their parameters. Such temporal behaviors can be conceived as search patterns with multiple behaviors and simple configurations. In this paper, a set of new search patterns are introduced to explore the search space efficiently. They emulate the response of a second-order system. The proposed set of search patterns have been integrated as a complete search strategy, called Second-Order Algorithm (SOA), to obtain the global solution of complex optimization problems. To analyze the performance of the proposed scheme, it has been compared in a set of representative optimization problems, including multimodal, unimodal, and hybrid benchmark formulations. Numerical results demonstrate that the proposed SOA method exhibits remarkable performance in terms of accuracy and high convergence rates.


2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Vanessa D. Jonsson ◽  
Collin M. Blakely ◽  
Luping Lin ◽  
Saurabh Asthana ◽  
Nikolai Matni ◽  
...  

Author(s):  
Teppei Toyoizumi ◽  
Shogo Yonekura ◽  
Riichiro Tadakuma ◽  
Yoichiro Kawaguchi ◽  
Akiya Kamimura

2009 ◽  
Vol 12 (7) ◽  
pp. A425 ◽  
Author(s):  
C Claes ◽  
T Mittendorf ◽  
U Kuchenbecker ◽  
M Rose ◽  
RR Reinert

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Amy E. Pinkham ◽  
Robert A. Ackerman ◽  
Colin A. Depp ◽  
Philip D. Harvey ◽  
Raeanne C. Moore

AbstractIndividuals with severe mental illnesses (SMIs) may be disproportionately vulnerable to COVID-19 infection and psychological distress. This study investigated the prevalence of engagement in COVID-19 preventative behaviors, predictors of these behaviors, and COVID-19-related psychological distress. One hundred and sixty-three individuals with SMIs (94 with schizophrenia spectrum illnesses and 69 with affective disorders) and 27 psychiatrically healthy comparison participants were recruited from ongoing studies across 3 sites, to complete a phone survey querying implementation of 8 specific COVID-19 preventative behaviors that participants engaged in at least once in the past month as well as standard assessments of depression, anxiety, perceived stress, loneliness, and coping. Data were collected between 3 April 2020 and 4 June 2020. The large majority of our SMI sample, which consisted of outpatients with relatively mild symptom severity, endorsed engaging in multiple preventative behaviors. Relatively few differences were found between groups; however, individuals with SMI were less likely to work remotely than healthy individuals and individuals with schizophrenia spectrum illness were less likely to stay home as a preventative measure, wear face masks, and work remotely than individuals with affective disorders. Differences in staying home remained after controlling for potential confounds. Although individuals with SMI reported more psychological distress related to COVID-19, this distress was largely unrelated to engagement in preventative behaviors. The large majority of individuals with SMI in this outpatient sample, regardless of broad diagnostic category, reported performing multiple behaviors intended to prevent COVID-19 infection at least once a month and reported distress associated with the pandemic. These findings suggest a good level of awareness of COVID-19 among stable outpatients with SMI. The degree to which more acutely ill persons with SMI engage in such preventative behaviors, however, remains to be examined.


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