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Full-Text Articles in Social and Behavioral Sciences
Bayesian Learning And Predictability In A Stochastic Nonlinear Dynamical Model, John Parslow, Noel Cressie, Edward P. Campbell, Emlyn Jones, Lawrence Murray
Bayesian Learning And Predictability In A Stochastic Nonlinear Dynamical Model, John Parslow, Noel Cressie, Edward P. Campbell, Emlyn Jones, Lawrence Murray
Professor Noel Cressie
Bayesian inference methods are applied within a Bayesian hierarchical modelling framework to the problems of joint state and parameter estimation, and of state forecasting. We explore and demonstrate the ideas in the context of a simple nonlinear marine biogeochemical model. A novel approach is proposed to the formulation of the stochastic process model, in which ecophysiological properties of plankton communities are represented by autoregressive stochastic processes. This approach captures the effects of changes in plankton communities over time, and it allows the incorporation of literature metadata on individual species into prior distributions for process model parameters. The approach is applied …
Scenarios For Peer-To-Peer Learning In Construction With Emerging Forms Of Collaborative Computing, Teemu Leinonen, Jukka Purrna, Kiarii Ngua, Alexander Hayes
Scenarios For Peer-To-Peer Learning In Construction With Emerging Forms Of Collaborative Computing, Teemu Leinonen, Jukka Purrna, Kiarii Ngua, Alexander Hayes
Alexander Hayes Mr.
Many small and medium enterprises (SMEs) in Europe are interested in finding new methods of training and workplace learning. Technology-enhanced practices of peer-to-peer learning may offer various new possibilities for SMEs. In this study we consider emerging technologies for informal learning in construction work. These technologies include wearable computing, invisible and ambient computing, augmented reality and novel interaction technologies. Three preliminary scenarios presented in this paper demonstrate how these technologies may be used. These scenarios have been developed, with a focus on the use of technology within a community supporting peer-to-peer learning, that may negate some of the social concerns …
Information Visualization For Learning Words In The Qur’An, Raja Jamilah Raja Yusof Dr
Information Visualization For Learning Words In The Qur’An, Raja Jamilah Raja Yusof Dr
Raja Jamilah Raja Yusof Dr
Qur’an is a source of guidance to Muslims around the world. Although the language of the Qur’an is Arabic, many Muslims with different native languages attempt to learn the language to understand the message of the Qur’an. Qur’an contains many repeated words. Even though there are approximately 77 430 words in the Qur’an, there are only 5155 words used repeatedly or at least once to make up those words. This means that in theory for non-native Arabic speakers, these words can be added to their vocabulary to understand the literal meaning of the message of the Qur’an. In this paper, …
Emergence Of Social Norms Through Collective Learning In Networked Agent Societies, Chao Yu, Minjie Zhang, Fenghui Ren, Xudong Luo
Emergence Of Social Norms Through Collective Learning In Networked Agent Societies, Chao Yu, Minjie Zhang, Fenghui Ren, Xudong Luo
Dr Fenghui Ren
Social norms play a pivotal role in sustaining social order by regulating individual behaviors in a society. In normative multiagent systems, social norms have been used as an efficient mechanism to govern virtual agent societies towards cooperation and coordination. In this paper, we study the emergence of social norms via learning from repeated local interactions in networked agent societies. We propose a collective learning framework, which imitates the opinion aggregation process in human decision making, to study the impact of agent local collective behaviors on norm emergence in different situations. In the framework, each agent interacts repeatedly with all of …
An Adaptive Bilateral Negotiation Model Based On Bayesian Learning, Chao Yu, Fenghui Ren, Minjie Zhang
An Adaptive Bilateral Negotiation Model Based On Bayesian Learning, Chao Yu, Fenghui Ren, Minjie Zhang
Dr Fenghui Ren
Endowing the negotiation agent with a learning ability such that a more beneficial agreement might be obtained is increasingly gaining attention in agent negotiation research community. In this paper, we propose a novel bilateral negotiation model based on Bayesian learning to enable self-interested agents to adapt negotiation strategies dynamically during the negotiation process. Specifically, we assume that two agents negotiate over a single issue based on time-dependent tactic. The learning agent has a belief about the probability distribution of its opponent's negotiation parameters (i.e., the deadline and reservation offer). By observing opponent's historical offers and comparing them with the fitted …
Blessed Unrest: The Power Of Unreasonable People To Change The World, Stephanie Pace Marshall
Blessed Unrest: The Power Of Unreasonable People To Change The World, Stephanie Pace Marshall
Stephanie Pace Marshall, Ph.D.
In her keynote address at the 2008 NCSSSMST Professional Conference, Dr. Stephanie Pace Marshall addresses what work can be done with the collective resources of its Consortium members which beg to be shared and connected--and also explores what the source of "...our Blessed Unrest that will give us the courage to become unreasonable advocates for our children and for STEM transformation?"
Stem Talent: Moving Beyond Traditional Boundaries, Stephanie Pace Marshall
Stem Talent: Moving Beyond Traditional Boundaries, Stephanie Pace Marshall
Stephanie Pace Marshall, Ph.D.
The future well-being, prosperity and sustainability of our nation, the global community and our planet resides in igniting and nurturing decidedly different STEM minds that can advance both the new STEM frontier and the human future.