[Apologies if you receive multiple copies of this Call for Papers]
This is a reminder about the submission deadline for 2014 IEEE World Conference on Complex Systems(Agadir-Morocco): May 15, 2014
For additional information, please visit the official page for the conference:
Here are some news we would like to recall:
(I) The proceedings will be included in the IEEE digital library (IEEE Xplore). Extended versions of best papers will be invited for publication in one of the following prestigious journals:
1- International Journal of Intelligent Systems (Impact factor: 1.416 ISI Journal Citation Reports)
2- Journal of Software Engineering and Applications (Impact factor 0.1 Thomson Reuters Journal Citation Reports)
3- International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS) (Indexed)
4- International Journal of Systems, Control and Communications (IJSCC) (Indexed)
5- International Journal of Applied Evolutionary Computation (IJAEC) (Indexed)
(II) Six great keynote speakers confirmed:
1- Prof. Ronald R. Yager: Director of the Machine Intelligence Institute,Iona College (New York) USA.
Talk Title:Computational Intelligence for Information Fusion and Decision Making:
Abstract: Intelligent decision-making requires the use of all available information. However the information used for decision-making generally comes from multiple sources and is expressed in various modalities. We are interested in the problem of multi-source information fusion in the case when the information provided has some uncertainty. In order to address this problem we need to provide methods for the representation of different types of uncertain information. Here we shall discuss some computational intelligence based approaches for attaining this capability. One approach we consider is the use of a set measure for the representation of uncertain information. . We look at some non-standard representations of imprecise information particularly Pythagorean fuzzy sets. We shall also look at some aggregation approaches for the fusion of this information.
2- Prof. Nigel Gilbert: Director of the Centre for Research in Social Simulation (CRESS), University of Surrey, UK.
Talk Title:Predictions, forecasts and scenarios: what can models of complex socio-economic systems tell us?
Abstract: Almost all social systems are complex, in the sense that they are composed of many interacting units, and have emergent behaviour and sensitivity to initial conditions. This makes it both theoretically and practically problematic to expect models of social systems to be useful for making predictions about their future behaviour, yet such predications are what many policy-oriented models are expected to provide. In this talk, I shall suggest why social systems need to be treated as complex, consider the implications for making predictions, and review current approaches for deriving policy conclusions from models, focussing mainly on agent-based modelling. I shall propose that scenario analysis is the way to go and show what we can learn from scenarios generated from agent-based simulations.
3- Prof. Matjaž Mulej : Vice-president of IASCYS,University of Maribor, Slovenia.
Talk Title:SOCIAL REPONSIBILITY BY OPEN INNOVATION:
Abstract: Social responsibility (SR) provides a chance for innovative change by its basis:
Interdependence and holism as SR’s essence in the ISO 26000 (ISO, 2010) on SR (supported by its 7 principles and 7 steps of making SR normal) and European Union’s (2011) support SR it by EU’s definition that SR means one’s responsibility for one’s impact on society.
Innovation makes a crucial impact on society. It results from idea-suggestion-invention-potential innovation-innovation-diffusion process (IIDP). In IIDP, specialists of several professions are necessary. Narrow specialization is necessary, but equally so is one more specialists’ capacity: cooperation helps humans prevent oversights and resulting failures, because it enables more holistic thinking/behavior. The narrow specialization is so strong that many hardly see that (requisitely) holistic thinking/behavior – enabled by interdisciplinary creative cooperation, backed by (ethics of) interdependence – makes specialization of any profession and organization much more beneficial than any operation inside itself alone. Owners, managers and staff can benefit from SR, but need knowledge and values to implement SR. Government and other influential entities should support them with the model suggested here.
4- Prof. Hans Van Vliet: Vrije Universiteit, Amsterdam, The Netherlands.
Talk Title:Social Structures in Software Engineering:
Abstract: Software is designed and written by groups of people, often distributed across sites and continents. These groups form social communities, with different ties, governance structures, membership structures, and so on. In this talk I explore ways to map the actual structure of a software development project onto well-known Organizational Social Structures in order to assess quality aspects of a software development organization, and software developed, in terms of this mapping.
5- Prof. Alain ABRAN : University of Québec, Canada
Talk Title:Software Estimation & Measurement: From Malpractices to Engineering:
Abstract: In the Dark Ages the ‘Lords of the country’ were expecting that their ‘alchemists’ - the ‘gurus’ of their era - would come up with mysterious formula that would transform ‘dust’ into ‘pots of gold!
A lot of current software estimation models, practices and metrics, including in Agile and COCOMO-like models, share characteristics observed in the Dark Ages. Furthermore, when compared to current practices from engineering and sciences, quite a few could be associated to professional malpractices in this 21st century!
This talk will present criteria to assess the quality of estimation models and software measures, and will illustrate this with many instances where ‘feel good’ is preferred to ‘engineering strengths’.
6- Prof.Pierre Bricage, University of Pau & Pays de l'Adour, France. Talk Title:Survival Management by Living Systems. A General System Theory of the Space-Time Modularity and Evolution of Living Systems:
Abstract: To survive that is 'to eat and not to be eaten'. Any alive system, within its ecoexotope of survival, is integrated into a food chain: it eats and is eaten! To survive and live on, whatever its spatial and temporal organisation, it owns 7 invariant capacities (gauge invariance) . The system is built by embedments and juxtapositions of preexisting ones in a new whole (endophysiotope). Whatever the level of organisation, the ecoexotope has always a limited capacity of hosting. To survive and live on, the system needs a capacity to be hosted but it has 'to be lucky' for 'to be at the right place at the right time'. Soon or late it is impossible not to be eaten. Man is not an exception. The modularity of alive systems allows both a partial allocation and a global recycling of matter and energy. The pleiotropy of the structures and functions, allowing 'to make of a stone several knocks', is the mechanism of exaptation. Within any ecoexotope, the agoantagonistic balance ends soon or late with the disappearance of predators, resulting in a reduction of biodiversity. The merging into
'Associations for the Reciprocal and Mutual Sharing of Advantages and DisAdvantages' allows the emergence of a new biodiversity. These fruitful paradigm of ARMSADA is independent from the dimensional scaling: the local and global quantitative laws of space-time structuring and functioning are the same. Depending on how they become mutually integrated into their global whole, the local actors are more and less dependent from the new global level of organisation. Reversely (systemic constructal law), the global whole is reciprocally integrating the
local parceners ? The evolution of living systems is often seen as a “cooperative evolution”. Resulting from altruist behaviours it could be modelled and simulated using games like the prisoners' dilemma game. Is the same true for Man's artefacts like banking systems? In what manner is the prisoners' dilemma game justifying extrusion ? What can we learn from Reinforcement Learning Dynamics in Social Dilemmas ? In reality, humans display a systemic bias towards cooperative behaviour, much more so than predicted by models of "rational" self-interested action. Models based on different kinds of payoffs and driving forces, where people forecast how the game would be played if they formed coalitions to maximise their forecasts, are shown to make better predictions that resemble reality. How are the laws of spatial-temporal structuring and functioning of banking systems associated with the basic law of survival of living systems ? How do local actors become mutually integrated into their global whole? And reversely, why and how is the global whole reciprocally integrating the local parceners? Is victory a strategic success? What are the roots for interdependence, conflicts and strategic order challenges? How is emerging a new power balance? Can banking systems survive as parasitic systems ? Is a “money chain“ a way of violence escalade, like a “food chain“ is? Is not the ARMSADA paradigm the best way to improve the survival of our societies?
— WCCS14 Organizing Committee
President of Morroccan Society of Complex Systems
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