Mes: diciembre 2010

Publicado el

Científicos precoces

Uno grupo de niños de entre 8 y 10 años han publicado un artículo científico sobre el estudio que han realizado acerca del comportamiento de las abejas. En concreto, si son capaces de reconocer patrones y colores.

El artículo, Blackawton bees, se ha publicado en Biology Letters, una revista con un factor de impacto de 3,5. Mantiene el estilo original de los niños e incluso sus ilustraciones hechas a mano y pintadas con lápices de colores.

El artículo es el resultado de un proyecto de ciencia en la calle (Street Science) llevado acabo por el colegio de primaria Blackawton, en Devon (UK). Puedes consultar la página del proyecto.

Increíble lo que se puede hacer con unos buenos maestros y la motivación adecuada. ¿La enseñanza hoy en día es peor? Cosas como esta dicen que no ¿no te parece?

(fuente: Wired)

Publicado el

[EUMAS10] J-MADeM v1.0: A full-fledge AgentSpeak(L) multimodal social decision library in Jason

by Francisco Grimaldo

Trying to produce social intelligent agents that shows an acceptable behaviour in social envinronments. Applied to BDI agents and using an auction model as decision/making mechanism. It seems interesting for us, as the last step for reaching a concrete agreement after an agreement space has been created using a consensus network. And it is implemented over Jason, so we can integrate it in Mgx agents.

The API seems to extend a Jason agent with predicates that can be introducced in the rules. So if we get a network of jason-mgx agents, we can program agents with decision making procedires that maximizes the benefit of a concrete water rights distribution among participants.

An interesting work that can be useful for us. I’ll read the paper later

Publicado el

[CostAT] Trust as a Unifying Basis for Social Computing

by Munindar Signh

Trust underlies all interactions among autonomous parties over many social relationships: casual, familiar, communal, organizational, practical…. But trust it use to be a internal characteristics and it can not be extrapolated outside a single application.

A social applications specifies and configure (i) roles,, (Ii) social interactions and (iii) additional constraints. And the elements we have available to model these systems (architecture) are components, connectors, constraints (over both of them) and patterns (that generalize its behavior). In the case of a social systems, they are
components >> individuals
connector >> social relationships
constraint >> reciprocal (ej Facebook)
patterns >> ….

The claim of this presentations is that trust is what flues in the relationships and it is how individuals and social relationships can be characterized. The sample> an agent (Toto) that acts as a middleware and can provide with trust the interactions among real people in different applications. That is, a layer which can be used in social apps (for instance) to measure the confidence on other users (humans) interactions (NOTE. a very close concept to the trust bundle proposed in AT)

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