218,714 research outputs found
Explaining Knowledge-Based Economic Dynamism in a Global Scale
This paper uses the concept of knowledge-based economic dynamism to overcome the simplified perspective on economic performance implied by the economic growth variable. Knowledge-based economic dynamism refers to the potential an area has for generating and maintaining high rates of economic performance. Furthermore, this study develops econometric models to detect the determinants of knowledge-based economic dynamism at the international level. The analysis covers the period 1990-2002. Econometric models provide critical insight relative to the factors driving dynamism with important implications for theory and policy.DYNREG
Using Self-Adaptive Evolutionary Algorithms to Evolve Dynamism-Oriented Maps for a Real Time Strategy Game
9th International Conference on Large Scale Scientific Computations. The final publication is available at link.springer.comThis work presents a procedural content generation system that uses an evolutionary algorithm in order to generate interesting maps for a real-time strategy game, called Planet Wars. Interestingness is here captured by the dynamism of games (i.e., the extent to which they are action-packed). We consider two different approaches to measure the dynamism of the games resulting from these generated maps, one based on fluctuations in the resources controlled by either player and another one based on their confrontations. Both approaches rely on conducting several games on the map under scrutiny using top artificial intelligence (AI) bots for the game. Statistic gathered during these games are then transferred to a fuzzy system that determines the map's level of dynamism. We use an evolutionary algorithm featuring self-adaptation of mutation parameters and variable-length chromosomes (which means maps of different sizes) to produce increasingly dynamic maps.TIN2011-28627-C04-01, P10-TIC-608
Resumption of dynamism in damaged networks of coupled oscillators
Deterioration in the dynamical activities may come up naturally or due to
environmental influences in a massive portion of biological and physical
systems. Such dynamical degradation may have outright effect on the substantive
network performance. This enforces to provide some proper prescriptions to
overcome undesired circumstances. Through this article, we present a scheme
based on external feedback that can efficiently revive dynamism in damaged
networks of active and inactive oscillators and thus enhance the network
survivability. Both numerical and analytical investigations are performed in
order to verify our claim. We also provide a comparative study on the
effectiveness of this mechanism for feedbacks to the inactive group or to the
active group only. Most importantly, resurrection of dynamical activity is
realized even in time-delayed damaged networks, which are considered to be less
persistent against deterioration in form of inactivity in the oscillators.
Furthermore, prominence in our approach is substantiated by providing evidence
of enhanced network persistence in complex network topologies taking
small-world and scale-free architectures, which makes the proposed remedy quite
general. Besides the study in network of Stuart-Landau oscillators, affirmative
influence of external feedback has been justified in network of chaotic Rossler
systems as well.Comment: 10 pages, 12 figure
2010 State New Economy Index
Measures states' economic structures on twenty-six indicators of their competitiveness in the New Economy: the prominence of knowledge jobs, globalization, economic dynamism, transformation to a digital economy, and technological innovation capacity
Business Environment of Enterprise
Summing up, we note that the business environment has high dynamism, information uncertainty and unpredictability of events and results of their activities, which requires a revision of traditional approaches to the formation of competitive strategies and management in the global economic space
The vulnerability of rules in complex work environments: dynamism and uncertainty pose problems for cognition
Many complex work environments rely heavily on cognitive operators using rules. Operators sometimes fail to implement rules, with catastrophic human, social and economic costs. Rule-based error is widely reported, yet the mechanisms of rule vulnerability have received less attention. This paper examines rule vulnerability in the complex setting of airline transport operations. We examined ‘the stable approach criteria rule’, which acts as a system defence during the approach to land. The study experimentally tested whether system state complexity influenced rule failure. The results showed increased uncertainty and dynamism led to increased likelihood of rule failure. There was also an interaction effect, indicating complexity from different sources can combine to further constrain rule-based response. We discuss the results in relation to recent aircraft accidents and suggest that ‘rule-based error’ could be progressed to embrace rule vulnerability, fragility and failure. This better reflects the influence that system behaviour and cognitive variety have on rule-based response. Practitioner Summary: In this study, we examined mechanisms of rule vulnerability in the complex setting of airline transport operations. The results suggest work scenarios featuring high uncertainty and dynamism constrain rule-based response, leading to rules becoming vulnerable, fragile or failing completely. This has significant implications for rule-intensive, safety critical work environments
Innovation and Dynamism: Interaction between Systems and Technical Progress
Literature on post-socialist transformation usually deals with the political, economic and social sides of it, although there have also been important changes in the field of technical advance in the last 20 years. One of capitalism’s main virtues is the strong incentive it gives to dynamism, enterprise and the innovation process. Every revolutionary new product (for civilian use) has been brought about by the capitalist system. The socialist system was capable, at most, of developing new military products. The article analyzes how far the radical difference can be explained by the innate tendencies and basic attributes of the two systems. Our daily lives have been transformed by these new products (for instance, the sphere of information and communications by the computer, the mobile phone and the internet). While many people see all these as favorable changes, fewer discern the causal relation between the capitalist system and rapid technical progress. Yet the usual syllabus of microeconomics does not enlighten students on this important virtue of capitalism, which is not adequately emphasized in the statements of leading politicians either.systems, capitalist system, socialist system, innovation, technical progress, Schumpeterian entrepreneurship
Scheduling Activity in an Agent Architecture
Proceedings of the AISB’00 Symposium on AI Planning and Intelligent Agents. Birmingham, UK, 17-20 April, 2000.Agents for applications in dynamic environments require artificial intelligence techniques to solve problems to achieve their objectives. For example, they must develop plans of actions to carry out missions in their environment, in other words, to achieve some state in the world. But also, the agents must fulfill real-time requirements that arise because the characteristics of the applications and the dynamism of the environment. In this paper we analyze the use of a schedule of activity in an agent architecture to control the resources (time) needed by agents to accomplish their objectives.Publicad
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