E’ andata. La mia prima lezione in quel di Plymouth e’ finita. Ammetto candidamente che non e’ andata particolarmente bene, ma non mi prendo piu’ della meta’ della colpa. Il problema di fondo e’ che la lezione era strutturata veramente male. Dalle slides (senza altro materiale didattico) che mi sono state date era difficile riuscire a capire dove chi le ha preparate volesse andare a parare. C’erano strafalcioni enormi ed in generale mancava un filo logico. Ho provato a rimediare un po’, riaggiustanto qualche diapositiva e riordinandole, ma per i miracoli ancora non sono attrezzato…

Posso pero’ imputarmi tutte le colpe per la gestione temporale. Studenti attenti e presenti in un discreto numero. Ma per un tragico errore di valutazione, dopo quaranta minuti di lezione (sull’ora originariamente prevista) mi sono accorto di essere arrivato all’ultima slide. Quindi la lezione, per la gioia dei presenti, si e’ conclusa con abbondante anticipo rispetto alla tabella di marcia prevista. Settimana prossima andra’ decisamente meglio, ne sono sicuro.
Chiuso il capitolo insegnamento, nel pomeriggio mi sono buttato nella stesura di una bozza dell’abstract che entro venerdi’ della settimana prossima dovro’ sottomettere agli editors di Advances in Cognitive Systems. Ho provato anche ad indicare, come richiesto, un provisional title. Posto il tutto qui di seguito, nel caso in cui abbiate commenti/consigli/quant’altro da proporre.
The importance of a dualistic nervous system: the advantages coming from equipping artificial organisms with a limbic system equivalent
In the work we are going to present we focus on the role played by the limbic system in human and artificial systems. We will first do a brief overview of what the limbic system is, and what is its presumably role from a neuropsychological perspective. We will then highlight the importance of reproducing it into artificial organisms in order to implement complex behaviours otherwise difficult to be reproduced.
We have decided to test our hypothesis about a possible implementation of a limbic system equivalent in artificial organisms employing typical Artificial Life (Langton, 1995) and Evolutionary Robotics (Nolfi and Floreano, 2000) methodologies. We will therefore describe the results obtained by two different sets of computer simulations run.
In the first set of simulations we aim to demonstrate the advantage in evolutionary terms provided by the presence of a sub-cortical circuit into the human/animal nervous system. What we are interesting in reproducing are situations characterised by a high emotional content – as prey/predator scenarios – which are the ones that typically prime the limbic system. The simulations run demonstrate that a fast but non-optimal processing of the sensorial information, as the one that the limbic system makes possible [some sort of references required!], could lead to better performances than a perfect but slower processing as it is typically guaranteed by the preminent employment of the brain’s cortical areas.
In the first simulations the two circuits (slow/accurate and fast/rough) have been used competitively – employing an evolutionary switch – just to demonstrate the non-obvious advantages generated by the latter. We are aware that, at least in mammals’ nervous systems, these two circuits are not mutually exclusive but they work together instead. In humans, for instance, the limbic system receives connections from other parts of the brain and gathers information from all the sensory system via parahippocampal gyrus (Neil Martin, 1997). The second set of simulations has been therefore targeted to clarify how the dualistic mechanism outlined above could actually work. We will see that the co-existence of two parallel circuits provides a general benefit to the individual. This result is achieved thanks to a better sensorial inputs filtering guaranteed by the limbic system, which allows the organism to concentrate itself on the stimulus relevant for its current activity only, while ignoring the others. Stated differently, when the two circuits are connected together, the limbic system aids the cortical circuit to filter out the sensorial information irrelevant for the current task.
The final discussion will touch both:
1) the plausibility, from a biological perspective, of the limbic system model sketched in this work;
2) the possibility to develop artificial agents able to cope with an increasing amount of emotional input stimulus, selecting the right action to perform at any given time.