2003
DOI: 10.1007/978-3-540-45002-3_7
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Mathematical Foundations of Discrete and Functional Systems with Strong and Weak Anticipations

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Cited by 103 publications
(87 citation statements)
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“…These models are based on situations regularities, inducing short-term predictions about the occurrence of the onset signal. Dubois [2] defined this local, model-based anticipation as "weak anticipation". This kind of anticipatory processes seems however unable to explain the synchronization between an agent and a more complex environment, i.e.…”
Section: On Strong Anticipationmentioning
confidence: 99%
See 1 more Smart Citation
“…These models are based on situations regularities, inducing short-term predictions about the occurrence of the onset signal. Dubois [2] defined this local, model-based anticipation as "weak anticipation". This kind of anticipatory processes seems however unable to explain the synchronization between an agent and a more complex environment, i.e.…”
Section: On Strong Anticipationmentioning
confidence: 99%
“…the synchronization with an environment containing a complex structure. Dubois [2] suggests in that case the presence of a strong anticipatory process, based not on a local scale but rather on a global coordination of the entire system (agent + environment) on multiple time scales. Strong anticipation is a consequence of the coupling between the agent and the environment rather than predictions of the environment's states by the model constructed by the agent [3].…”
Section: On Strong Anticipationmentioning
confidence: 99%
“…The organized interfacing of these two types of expectations has provided room for hyper-incursion and the consequent development of incursive decision rules at the systems level. 39 Decisions first induce a local trajectory in a global space of other possibilities. When this trajectory is reflexively recognized as one among other possible trajectories, decisions can be made the subject of discursive analysis and consequential codification.…”
Section: Resultsmentioning
confidence: 99%
“…as perceivers, learners, modellers and actors. This topic is related to computing anticipatory systems for which the concepts of incursion and hyperincursion were defined [2,3,4], in relation to weak and strong anticipations [5].…”
Section: Introductionmentioning
confidence: 99%
“…For an artificial anticipator, it is possible to define weak and strong anticipations [5], because man is the designer of the artificial systems. For a natural anticipator, man is only able to construct a model, which will be always a weak representation of this.…”
Section: Introductionmentioning
confidence: 99%