{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T04:20:33Z","timestamp":1777522833153,"version":"3.51.4"},"reference-count":59,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2019,1,23]],"date-time":"2019-01-23T00:00:00Z","timestamp":1548201600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Adaptive Behavior"],"published-print":{"date-parts":[[2020,4]]},"abstract":"<jats:p>A fundamental challenge for enactive theory and other radical varieties of non-representational \u201cE cognition\u201d is to reconceive the end-directed character of cognitive activity in naturally emergent but also experientially adequate terms. In short, it is necessary to show how cognitive activity is motivated. In this article, I present a preliminary analysis of the nature of motivation and the challenge that it presents to cognitive science. I make the case that a theory of motivation is a critical desideratum for dynamical theories of cognition, especially insofar as they understand cognition as a self-organized and \u201csoft assembled\u201d process. 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