<html><head><style type='text/css'>p { margin: 0; }</style></head><body><div style='font-family: times new roman,new york,times,serif; font-size: 12pt; color: #000000'><div style="font-family: times new roman,new york,times,serif; font-size: 12pt; color: #000000">Prezados colegas e alunos,<br><br>Esta mensagem é para divulgar a palestra desta semana do ciclo de Seminários de
Probabilidade e Sistemas Complexos, ICMC-USP & UFSCar, São Carlos.
Segue a informação.<br><h1>Imitative Learning as a Connector of Collective Brains</h1>
<b>Speaker: Jose Fernando Fontanari (IFSC-USP)</b>
<br><br>
Date: 20/03/2015<br>
Time: 16h00<br>
Room: Auditorio Fávaro do ICMC (4-111)<br><br>
<b>Abstract:</b> The notion that cooperation can aid a group of agents
to solve problems more efficiently than if those agents worked in
isolation is prevalent in computer science and business circles. Here we
consider a primordial form of cooperation - imitative learning - that
allows an effective exchange of information between agents, which are
viewed as the processing units of a social intelligence system or
collective brain. In particular, we use agent-based simulations to study
the performance of a group of agents in solving a cryptarithmetic
problem. An agent can either perform local random moves to explore the
solution space of the problem or imitate a model agent - the best
performing agent in its influence network. There is a trade-off between
the number of agents N and the imitation probability p, and for the
optimal balance between these parameters we observe a thirtyfold
diminution in the computational cost to find the solution of the
cryptarithmetic problem as compared with the independent search. If
those parameters are chosen far from the optimal setting, however, then
imitative learning can impair greatly the performance of the group.
<br>Uma lista atualizada dos seminários do ano será mantida no site <span class="Object" id="OBJ_PREFIX_DWT576_com_zimbra_url"><a target="_blank" href="http://www.icmc.usp.br/pessoas/pablor/seminar.html">http://www.icmc.usp.br/pessoas/pablor/seminar.html</a></span><br><br>Estão todos convidados! Favor divulgar a possíveis interessados.<br><br>Um abraço,<br><br><span></span>Pablo Martín Rodríguez<br><div>Professor Doutor (MS-3)<br>Department of Applied Mathematics and Statistics, ICMC-USP<br>C.P. 668 - São Carlos, SP, Brazil - CEP 13560-970<span></span><br></div></div></div></body></html>