Anticipation and Computation: Is Anticipatory Computing Possible?

Nadin, Mihai

doi:10.1007/978-3-319-22599-9_18

Cited by 5 publications

(3 citation statements)

References 50 publications

(38 reference statements)

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“…A development of such kind of "foresight" or "anticipation" should not surprise us (Rosen 2012;Nadin 2014), as the predictive capability (e.g. predictions based on previous data) is the central theme in algorithmic complexity (in Kolmogorov's sense) or channel capacity optimization by data compression in IT.…”

Section: Discussionmentioning

confidence: 99%

Genetic recombination as DNA repair

Parkhomchuk¹,

McHardy²,

Shadrin

2015

Preprint

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Maintenance of sexual reproduction and genetic recombination imposes physiological costs when compared to parthenogenic reproduction, most prominently: for maintaining the corresponding (molecular) machinery, for finding a mating partner, and through the decreased fraction of females in a population, which decreases the reproductive capacity. Based on principles from information theory, we have previously developed a new population genetic model, and applying it in simulations, we have recently hypothesized that all species maintain the maximum genomic complexity that is required by their niche and allowed by their mutation rate and selection intensity. Applying this idea to the complexity overhead of recombination maintenance, its costs must be more than compensated by an additional capacity for complexity in recombining populations. Here, we show a simple mechanism, where recombination helps to maintain larger biases of alleles frequencies in a population, so the advantageous alleles can have increased frequency. This allows recombining populations to maintain higher fitness and phenotypic efficiency in comparison with asexual populations with the same parameters. Random mating alone already significantly increases the ability to maintain genomic and phenotypic complexity. Sexual selection provides additional capacity for this complexity. The model can be considered as a unifying synthesis of previous hypotheses about the roles of recombination in Muller's ratchet, mutation purging and Red Queen dynamics, because the introduction of recombination both increases population frequencies of beneficial alleles and decreases detrimental ones. In addition, we suggest simple explanations for niche-dependent prevalence of transient asexuality and the exceptional asexual lineage of Bdelloid rotifers. IntroductionIn comparison with parthenogenic (or clonal or asexual) reproduction, recombination and sexual reproduction require the increase of complexity in a number of phenotypic features for mating partner choice, mating itself and recombination, e.g. by providing the corresponding (molecular) machinery. This creates additional costs for the organisms and must therefore provide some compensating advantages if it is not to be lost through selection. To explain these advantages, numerous hypotheses have been proposed (Maynard Smith 1978;Kondrashov 1993;Hartfield and Keightley 2012). They largely fall into two big groups (West et al. 1999;Meirmans and Strand 2010): The first one focuses on the effect of (deleterious) mutations at individual loci accumulated over time and is proposed by population geneticists (Mutational Deterministic hypothesis and Fisher-Muller hypothesis). These models were motivated by the mathematical formulations of classical population genetics and have emphasized respective parameters like mutation rate, population size, allele frequencies and interactions between (deleterious) mutations at different loci in the face of selection (epistasis). The

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Section: Discussionmentioning

confidence: 99%

Genetic recombination as DNA repair

Parkhomchuk¹,

McHardy²,

Shadrin

2015

Preprint

View full text Add to dashboard Cite

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“…As a data-driven and computation-based computer algorithm science [28], AC must be embodied in certain devices (e.g., agents, robots, artifacts, smart phones) in order to be expressed in action [16]. Moreover, these devices usually have the following core attributes.…”

Section: Theoretical Background a Anticipatory Computingmentioning

confidence: 99%

“…Second, they have a hardware foundation for storing a certain scale of data [29]. Third, a set of machine language, algorithms, and procedures are embedded in these devices [12], [16], [30] to analyze user behavioral patterns, obtain contextual inferences, and predict their future behavior using relevant data [12], [22]. Finally, these devices often have good HCI, which is embodied mainly in direct manipulation and authorization [1].…”

Section: Theoretical Background a Anticipatory Computingmentioning

confidence: 99%

Anticipatory Computing for Human Behavioral Change Intervention: A Systematic Review

Lin

Zhao

Wu³

et al. 2019

IEEE Access

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With the rapid development of computer and communication technology, anticipatory computing has been identified as one of the most important factors affecting human behavioral change. The future of anticipatory computing will not be bright if it fails to provide useful help to human life and work. Anticipatory computing applied to behavioral change intervention (BCI) is full of challenges and is a research topic of increasing interest and importance. This paper provides an overview of the concept of anticipatory computing, BCI, as well as anticipatory computing for the BCI and offers a multistage literature analysis. Also, a systematic analytical framework articulated from the existing literature is presented to reveal the progress and details of anticipatory computing for the BCI. This framework is divided into four dimensions: 1) sensing and context inferring; 2) context prediction; 3) behavioral guidance and intervention, and; 4) application. Based on our literature analysis, 11 elements of anticipatory computing for BCI are identified and discussed in terms of principles, enablers, and activities. Afterward, contributions and possible future directions for research are summarized at the end of this paper.INDEX TERMS Anticipatory computing, behavioral change intervention, context prediction, intelligent intervention, sensing and context inferring.

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Machine intelligence: a chimera

Nadin

2018

AI & Soc

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The notion of computation has changed the world more than any previous expressions of knowledge. However, as know-how in its particular algorithmic embodiment, computation is closed to meaning. Therefore, computer-based data processing can only mimic life's creative aspects, without being creative itself. AI's current record of accomplishments shows that it automates tasks associated with intelligence, without being intelligent itself. Mistaking the abstract (computation) for the concrete (computer) has led to the religion of "everything is an output of computation"-even the humankind that conceived the computer. The hypostatized role of computers explains the increased dependence on them. The convergence machine called deep learning is only the most recent form through which the deterministic theology of the machine claims more than what it actually is: extremely effective data processing. A proper understanding of complexity, as well as the need to distinguish between the reactive nature of the artificial and the anticipatory nature of the living are suggested as practical responses to the challenges posed by machine theology. Keywords Hypostatize • Convergence • Anticipatory • Meaning • G-complexity…it's just a block of wood! I burned half of it for heat and used it to bake my bread and roast my meat. How can the rest of it be a god? Should I bow down to worship a piece of wood? 1

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Anticipation and Computation: Is Anticipatory Computing Possible?

Cited by 5 publications

References 50 publications

Genetic recombination as DNA repair

Genetic recombination as DNA repair

Anticipatory Computing for Human Behavioral Change Intervention: A Systematic Review

Machine intelligence: a chimera

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