The DOI matches its Crossref record; 168 of the 168 references it cites were found in a registry or an index.
A Survey of Artificial Cognitive Systems: Implications for the Autonomous Development of Mental Capabilities in Computational Agents
Abstract
This survey presents an overview of the autonomous development of mental capabilities in computational agents. It does so based on a characterization of cognitive systems as systems which exhibit adaptive, anticipatory, and purposive goal-directed behavior. We present a broad survey of the various paradigms of cognition, addressing cognitivist (physical symbol systems) approaches, emergent systems approaches, encompassing connectionist, dynamical, and enactive systems, and also efforts to combine the two in hybrid systems. We then review several cognitive architectures drawn from these paradigms. In each of these areas, we highlight the implications and attendant problems of adopting a developmental approach, both from phylogenetic and ontogenetic points of view. We conclude with a summary of the key architectural features that systems capable of autonomous development of mental capabilities should exhibit
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Cites
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Cited by
The iCub humanoid robot: An open-systems platform for research in cognitive development
Metta, G., Natale, L., Nori, F., Sandini, G., Vernon, D., Fadiga, L., von Hofsten, C., Rosander, K., Lopes, M., Santos-Victor, J., et al. (2010) · Neural Networks · doi:10.1016/j.neunet.2010.08.010 · Cited by 580
Self-citationCognitive Developmental Robotics: A Survey
Asada, M., Hosoda, K., Kuniyoshi, Y., Ishiguro, H., Inui, T., Yoshikawa, Y., Ogino, M., & Yoshida, C. (2009) · IEEE Transactions on Autonomous Mental Development · doi:10.1109/tamd.2009.2021702 · Cited by 554
40 years of cognitive architectures: core cognitive abilities and practical applications
Kotseruba, I., & Tsotsos, J. K. (2020) · Artificial Intelligence Review · doi:10.1007/s10462-018-9646-y · Cited by 539
A Multi-Facet Survey on Memetic Computation
Chen, X., Ong, Y.-S., Lim, M.-H., & Tan, K. C. (2011) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2011.2132725 · Cited by 512
Enactive artificial intelligence: Investigating the systemic organization of life and mind
Froese, T., & Ziemke, T. (2009) · Artificial Intelligence · doi:10.1016/j.artint.2008.12.001 · Cited by 317
Metadata
- Authors
- Vernon, D., Metta, G., & Sandini, G.
- Venue
- IEEE Transactions on Evolutionary Computation
- Published
- 2007-04
- Volume
- 11
- Issue
- 2
- Pages
- 151-180
- ISSN
- 1089-778X (ISSN-L)
- OpenAlex
- W2125360619
- Cited by
- 414
- References
- 168
- FWCI
- 34.28
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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