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Biggiero, Lucio

doi:10.1023/a:1009515211632

Cited by 50 publications

(15 citation statements)

References 56 publications

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“…Later this number increased to 45 [15]. In other writings numerous definitions and interpretations of complexity and of its characteristics have been formulated and scrutinized - [1,3,9,[16][17][18][19][20][21][22][23].…”

Section: Characteristics Of Complexitymentioning

confidence: 99%

“…As a foundation he proposes an interpretation of complexity as a property of objects which are neither deterministically nor stochastically predictable. "Complexity refers to objects which are predictable only in a short run and that can be faced only with heuristic and not optimizing strategies" ( [22], p. 6]).…”

Section: Types and Sources Of Complexitymentioning

confidence: 99%

“…Coming from this typology, he defined "observed irreducible complexity (OIC)" as those states of unpredictability, which allow to classify an object in one of those three classes ( [22], p. 5). Taking this typology and definition as a point of departure, it is proposed to distinguish semantically different meaning of complexity and identify its sources.…”

Section: Types and Sources Of Complexitymentioning

confidence: 99%

“…not certainly true or certainly false. It creates insurmountable limits to knowledge which can be overcome neither in infinite time nor with infinite computation power [22].…”

Section: Types and Sources Of Complexitymentioning

confidence: 99%

“…In a radical constructivist approach, any single cognitive (observing) system, and specifically a human being, is also affected by self--reference due to the fact that self is also thinking itself (and about itself) [22,25,[28][29][30]. Therefore undecidability affects also the observer and the very process of observation.…”

Section: Types and Sources Of Complexitymentioning

confidence: 99%

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Complexity of Social Systems

Mesjasz

2010

Acta Phys. Pol. A

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The term "complexity" used frequently as a kind of "buzzword" has gained a specific role in the language of modern social sciences and social practice. A question is arising -how can we understand complexity of social systems/social phenomena which are characterized by limited possibility of explanation, unpredictability or low reliability of prediction? The aim of the paper is to provide a partial answer to this question. A survey of characteristics of complex systems and typology of various kinds of complexity, and of their sources is presented. It is also shown that broadly defined social systems (human systems) are affected by all kinds of complexitythey are "complexities of complexities". Using the typology of interpretations of complexity as an example, it is shown what are the limitations of transferring knowledge from physics, chemistry, information theory and biology to the studies of complexity of social systems. It is especially emphasized that mathematical models, which are treated as objective when applied in social sciences must be considered as an element of intersubjective discourse.

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Section: Characteristics Of Complexitymentioning

confidence: 99%

Section: Types and Sources Of Complexitymentioning

confidence: 99%

Section: Types and Sources Of Complexitymentioning

confidence: 99%

“…not certainly true or certainly false. It creates insurmountable limits to knowledge which can be overcome neither in infinite time nor with infinite computation power [22].…”

Section: Types and Sources Of Complexitymentioning

confidence: 99%

Section: Types and Sources Of Complexitymentioning

confidence: 99%

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Complexity of Social Systems

Mesjasz

2010

Acta Phys. Pol. A

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What makes anglers happy: A sentiment analysis of Walleye angler forums in the United States

2023

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Angler attitudes and behavior are important factors in fisheries management, but time consuming and expensive to quantify. Analyzing the text that anglers contribute to online forums may be a fast and cost‐effective alternative. We applied sentiment analysis to almost 3 years of management‐related posts on online angling forums to estimate the long‐term satisfaction of walleye (Sander vitreus) anglers in nine U.S. states. Sentiment varied four‐fold among states. Consistent with the literature, our random forest model found that sentiment increased with angler density, bag limit, and season length. Relatively unimportant factors were fishing license cost, the frequency of special walleye regulations, the degree to which management agencies communicated with anglers through social media, and the importance of angling to the state economy. Our results support the hypothesis that online text can provide insight into the satisfaction of anglers who post on online forums. Future research should explore social listening as a low‐cost method for tracking angler satisfaction at finer spatial and temporal scales, and for other game fishes. This work contributes to a growing interest in exploring and validating the use of online data within systems of harvest management and governance.

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The Impact of Email on System Identity and Autonomy: A Case Study in Self-Observation

Biggiero

2006

Systemics of Emergence: Research and Development

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Untitled

Cited by 50 publications

References 56 publications

Complexity of Social Systems

Complexity of Social Systems

What makes anglers happy: A sentiment analysis of Walleye angler forums in the United States

The Impact of Email on System Identity and Autonomy: A Case Study in Self-Observation

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