000069684 001__ 69684
000069684 005__ 20180411131042.0
000069684 0247_ $$2doi$$a10.1002/cav.1676
000069684 0248_ $$2sideral$$a92920
000069684 037__ $$aART-2015-92920
000069684 041__ $$aeng
000069684 100__ $$aZaldívar Pino, A.
000069684 245__ $$aModeling flocks with perceptual agents from a dynamicist perspective
000069684 260__ $$c2015
000069684 5060_ $$aAccess copy available to the general public$$fUnrestricted
000069684 5203_ $$aComputational simulations of flocks and crowds have typically been processed by a set of logic or syntactic rules. In recent decades, a new generation of systems has emerged from dynamicist approaches in which the agents and the environment are treated as a pair of dynamical systems coupled informationally and mechanically. Their spontaneous interactions allow them to achieve the desired behavior. The main proposition assumes that the agent does not need a full model or to make inferences before taking actions; rather, the information necessary for any action can be derived from the environment with simple computations and very little internal state. In this paper, we present a simulation framework in which the agents are endowed with a sensing device, an oscillator network as controller and actuators to interact with the environment. The perception device is designed as an optic array emulating the principles of the animal retina, which assimilates stimuli resembling optic flow to be captured from the environment. The controller modulates informational variables to action variables in a sensory-motor flow. Our approach is based on the Kuramoto model that describes mathematically a network of coupled phase oscillators and the use of evolutionary algorithms, which is proved to be capable of synthesizing minimal synchronization strategies based on the dynamical coupling between agents and environment. We carry out a comparative analysis with classical implementations taking into account several criteria. It is concluded that we should consider replacing the metaphor of symbolic information processing by that of sensory-motor coordination in problems of multi-agent organizations.
000069684 536__ $$9info:eu-repo/grantAgreement/ES/MICYT/TIN2011-24660
000069684 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000069684 590__ $$a0.548$$b2015
000069684 591__ $$aCOMPUTER SCIENCE, SOFTWARE ENGINEERING$$b88 / 105 = 0.838$$c2015$$dQ4$$eT3
000069684 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000069684 700__ $$0(orcid)0000-0002-8263-2444$$aGonzález Bedia, M.$$uUniversidad de Zaragoza
000069684 700__ $$0(orcid)0000-0003-1683-4694$$aSerón Arbeloa, F. J.$$uUniversidad de Zaragoza
000069684 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDepartamento de Informática e Ingeniería de Sistemas$$cLenguajes y Sistemas Informáticos
000069684 773__ $$g28,  1 (2015), e1676 [18 pp.]$$pComput. Animat. Virtual Worlds$$tComputer animation and virtual worlds$$x1546-4261
000069684 8564_ $$s1465038$$uhttp://zaguan.unizar.es/record/69684/files/texto_completo.pdf$$yPostprint
000069684 8564_ $$s34406$$uhttp://zaguan.unizar.es/record/69684/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000069684 909CO $$ooai:zaguan.unizar.es:69684$$particulos$$pdriver
000069684 951__ $$a2018-04-11-11:56:07
000069684 980__ $$aARTICLE