Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloWhat does it take to evolve behaviorally complex organisms?
Anno di pubblicazione2003
Formato-
Autore/iCalabretta R., Di Ferdinando A., Wagner G.P., Parisi D.
Affiliazioni autoriRaffaele Calabretta, Institute of Cognitive Sciences and Technologies National Research Council, Rome, Italy Andrea Di Ferdinando, Institute of Cognitive Sciences and Technologies National Research Council, Rome, Italy and University of Rome “La Sapienza” Rome, Italy Günter P. Wagner, Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, U.S.A Domenico Parisi, Institute of Cognitive Sciences and Technologies National Research Council, Rome, Italy
Autori CNR e affiliazioni
  • DOMENICO PARISI
  • RAFFAELE CALABRETTA
Lingua/e-
AbstractWhat genotypic features explain the evolvability of organisms that have to accomplish many different tasks? The genotype of behaviorally complex organisms may be more likely to encode modular neural architectures because neural modules dedicated to distinct tasks avoid neural interference, i.e., the arrival of conflicting messages for changing the value of connection weights during learning. However, if the connection weights for the various modules are genetically inherited, this raises the problem of genetic linkage: favorable mutations may fall on one portion of the genotype encoding one neural module and unfavorable mutations on another portion encoding another module. We show that this can prevent the genotype from reaching an adaptive optimum. This effect is different from other linkage effects described in the literature and we argue that it represents a new class of genetic constraints. Using simulations we show that sexual reproduction can alleviate the problem of genetic linkage by recombining separate modules all of which incorporate either favorable or unfavorable mutations. We speculate that this effect may contribute to the taxonomic prevalence of sexual reproduction among higher organisms. In addition to sexual recombination, the problem of genetic linkage for behaviorally complex organisms may be mitigated by entrusting evolution with the task of finding appropriate modular architectures and learning with the task of finding the appropriate connection weights for these architectures.
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Pagine da245
Pagine a262
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RivistaBiosystems (Amst. Print)
Attiva dal 1974
Editore: Elsevier Science Ireland - Shannon
Paese di pubblicazione: Paesi Bassi
Lingua: inglese
ISSN: 0303-2647
Titolo chiave: Biosystems (Amst. Print)
Titolo proprio: Biosystems. (Amst. Print)
Titolo abbreviato: Biosystems (Amst. Print)
Titolo alternativo: Bio systems (Amst. Print)
Numero volume della rivista69
Fascicolo della rivista-
DOI-
Verificato da referee-
Stato della pubblicazione-
Indicizzazione (in banche dati controllate)-
Parole chiavegenetic interference, modularity, neural networks, genetic algorithms
Link (URL, URI)-
Titolo parallelo-
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Data di accettazione-
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Strutture CNR
  • ISTC — Istituto di scienze e tecnologie della cognizione
Moduli/Attività/Sottoprogetti CNR
  • ICT.P08.006.001 : Tecnologie avanzate per l'interazione uomo, robot ed agenti intelligenti
Progetti Europei-
Allegati

Dati storici
I dati storici non sono modificabili, sono stati ereditati da altri sistemi (es. Gestione Istituti, PUMA, ...) e hanno solo valore storico.
Area disciplinareAI, Robotics & Automatic Control
Area valutazione CIVRIngegneria industriale e informatica
Rivista ISIBIOSYSTEMS [20615J0]
NoteBiosystems (Elsevier)