On the emerging future of complexity sciences

Delic, Kemal A.; Dum, Ralph

doi:10.1145/1125357.1279681

Cited by 9 publications

(6 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Viewing forests as systems that are composed of more than trees but include innumerable physical and chemical, biotic and abiotic components, and their interactions, is a logical first step toward viewing forests as complex systems (Levin, 1999). Complexity science is a fairly recent development aimed at understanding the behavior of complex systems (Waldrop, 1992) that has received attention in a variety of disciplines, especially physics and economics (Delic & Dum, 2006) but less so in restoration and forestry . As stated by Puettmann (2011): Complex systems are more than just complicated, variable, or heterogeneous.…”

Section: Complex Systemsmentioning

confidence: 99%

Restoring the Adaptive Capacity of Forest Ecosystems

Puettmann¹

2014

Journal of Sustainable Forestry

View full text Add to dashboard Cite

Enhancing maintenance of desired goods and services in the face of perturbations-i.e., enhancing the ecosystems capacity to adapt-is a key consideration for restoration efforts. Complexity science provides a scientific framework for understanding and studying ecosystems, which can facilitate restoration efforts that increase or restore adaptive capacity. Many characteristics of complex systems have been integrated into ecosystem ecology. However, unifying these concepts under complexity theory provides new insights into ecosystem behavior. Several cases highlight how this can be useful for restoration efforts. For example, including cross-scale hierarchies in the analysis provided a better understanding of variability in ecosystems-e.g., in terms of the diversity in boreal forests and in terms of natural regeneration dynamics. Another example shows how a "mechanistic view" of diversity of traits can help understand how restoration treatments influence selected ecosystem functions, and how restoration treatments can enhance or maintain these functions under changing climate conditions. I conclude by highlighting challenges that need to be overcome to enhance our ability to utilize concepts from complexity science, including addressing uncertainty and quantification of complexity and characteristics of complex systems.

show abstract

Section: Complex Systemsmentioning

confidence: 99%

Restoring the Adaptive Capacity of Forest Ecosystems

Puettmann¹

2014

Journal of Sustainable Forestry

View full text Add to dashboard Cite

show abstract

“…The vision of Autonomic Computing [Delic et al (2006)] refers to the tendency of computers to become ubiquitous. Forming large networks and having complex and multiple interactions, they become increasingly difficult to manage.…”

Section: Autonomic Computingmentioning

confidence: 99%

Evolvable systems: an approach to self-X production

Onori

Semere

Lindberg

2011

International Journal of Computer Integrated Manufacturing

View full text Add to dashboard Cite

Current major road mapping efforts, such as ManuFuture, FutMan and EUPASS, have all clearly underlined that true industrial sustainability will require far higher levels of systems' autonomy and adaptability. In accordance with these recommendations, the Evolvable Production Systems (EPS) has aimed at developing such technological solutions and support mechanisms. Since its inception in 2002 as a next generation of production systems, the concept is being further developed and tested to emerge as a production system paradigm. The essence of evolvability resides not only in the ability of system components to adapt to the changing conditions of operation, but also to assist in the evolution of these components in time such that processes may become self-X, x standing for one more desirable properties of a system subjected to a variable operation condition such as self-evolvable, self-reconfigurable, self-tuning, self-diagnosing, etc. Characteristically, Evolvable systems have distributed control, and are composed of intelligent modules integrated. To assist the development and life cycle issues, comprehensive methodological framework is being developed. A concerted effort is being exerted through European research projects in collaboration with European manufacturers, technology/equipment suppliers, and universities. After briefly stating the fundamental concepts of EPS, this paper presents current developments and applications.

show abstract

“…Complexity theory looks for simple causes leading to complex behaviours (Delic and Dum, 2006). Complex systems are spatially and/or temporally extended non‐linear systems with many strongly coupled degrees of freedom.…”

Section: Mapping the Needsmentioning

confidence: 99%

Outlook report on the future of European assembly automation

Onori

Barata

2010

Assembly Automation

View full text Add to dashboard Cite

PurposeThis roadmap is primarily concerned with the adaptive assembly technology situation in Europe, a topic of particular interest as assembly is often the final process within manufacturing operations. Being the final set of operations on the product, and being traditionally labour‐intensive, assembly has been considerably affected by globalisation. Therefore, unlike most technology roadmaps, this report will not focus solely on particular technologies, but will strive to form a broader perspective on the conditions that may come to influence the opportunities, including political aspects and scientific paradigms. The purpose of this paper is to convey a complete view of the global mechanisms that may come to affect technological breakthroughs, and also present strategies that may better prepare for such a forecast.Design/methodology/approachThe paper describes a technological roadmap.FindingsThis paper provides a complete overview of all aspects that may come to affect assembly in Europe within the next 20 years.Originality/valueThe paper gives an original Evolvable Ultra Precision Assembly Systems FP6 project result which will be of general interest for strategic R&D.

show abstract

On the emerging future of complexity sciences

Cited by 9 publications

References 3 publications

Restoring the Adaptive Capacity of Forest Ecosystems

Restoring the Adaptive Capacity of Forest Ecosystems

Evolvable systems: an approach to self-X production

Outlook report on the future of European assembly automation

Contact Info

Product

Resources

About