日本動物心理学会 第76回大会
Plenary Talk
Coevolution of learning and data-acquisition mechanisms:
a model for cognitive evolution

Date: 

25 November, 2016 (9:00-10:00)

Venue: 

学術交流会 2F講堂

Speaker Profile:

Arnon Lotem
Department of Zoology
Faculty of Life Sciences
Tel-Aviv University
Tel-Aviv, Israel

Arnon Lotem

Chair:

Toshiya Matsushima (Department of Biology, Hokkaido University)


Abstract:

A fundamental and frequently overlooked aspect of animal learning is its reliance on compatibility between the learning rules used and the attentional and motivational mechanisms directing them to process the relevant data (called here data-acquisition mechanisms). We propose that this coordinated action, which may first appear fragile and error prone, is in fact extremely powerful, and critical for understanding cognitive evolution. Using basic examples from imprinting and associative learning, we argue that by coevolving to handle the natural distribution of data in the animal's environment, learning and data-acquisition mechanisms are tuned jointly so as to facilitate effective learning using relatively little memory and computation. We then suggest that this coevolutionary process offers a feasible path for the incremental evolution of complex cognitive systems, because it can greatly simplify learning. This is illustrated by considering how animals and humans can use these simple mechanisms to learn complex patterns and represent them in the brain.

Lotem A, and Halpern J Y. 2012. Co-evolution of learning and data acquisition mechanisms: a model for cognitive evolution. Philosophical Transactions of the Royal Society, B . 367:2686-2694.

Kolodny, O., Edelman, S., & Lotem, A. 2014. The evolution of continuous learning of the structure of the environment. Journal of The Royal Society Interface, 11(92), 20131091.

Kolodny O, Lotem A & Edelman S 2014. Learning a generative probabilistic grammar of experience: a process-level model of language acquisition , Cognitive Science , 39: 227267, DOI: 10.1111/cogs.12140,

Kolodny, O., Edelman, S., & Lotem, A. 2015. Evolved to adapt: A computational approach to animal innovation and creativity. Current Zoology, 61, 350-367

Kolodny, O., Edelman, S., & Lotem, A. 2015. Evolution of protolinguistic abilities as a byproduct of learning to forage in structured environments. Proc. Roy. Soc. Lond. B. 282 (1811), 20150353.


◆This is the joint program between JSAP and Research and Education Center for Brain Science, Hokkaido university. This Plenary Talk was supported by JSPS KAKENHI (Grant-in-Aid for Challenging Exploratory Research 26650114).

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