6533b856fe1ef96bd12b27f3
RESEARCH PRODUCT
A general theoretical framework for designing cognitive architectures: Hybrid and meta-level architectures for BICA
Valeria SeiditaAntonio ChellaMassimo CossentinoSalvatore Gagliosubject
Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industryCognitive NeuroscienceComputationDistributed computingMeta-computationHybrid architectureExperimental and Cognitive PsychologyCognitioncomputer.software_genreMeta-level architectureComplement (complexity)Task (project management)Biologically inspired cognitive architectureIntelligent agentArtificial IntelligenceMeta levelArtificial intelligenceAgent architecturebusinesscomputerAbstraction (linguistics)description
In this paper, we will discuss hybrid architectures in which different processing modules coexist and cooperate in a principled way. A fundamental and essential role is played by modules performing meta-computation, i.e., computation about computation itself. Meta-level architectures, therefore, become an essential complement of hybrid architectures for biologically inspired cognitive architectures (BICA). Engineering and modeling BICAs is a hard task due to the lack of techniques for developing and implementing their features. We propose a new concept of intelligent agent as a useful abstraction for developing BICAs and having means for representing all the involved entities together with the environment they live in. © 2012 Elsevier B.V. All rights reserved.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2012-10-01 | Biologically Inspired Cognitive Architectures |