基于多智能体的货物运输调度模型

应用MATSim（Multi-Agent Transport Simulation,多智能体运输仿真）技术,研究微观仿真和基于智能体的方法在交通政策分析中的应用.将货物运输车辆整合到MATSim运输仿真软件,建立了一个基于Multi-Agent的货物运输调度模型其中,将物流决策Agent分成运输服务提供商Agent和承运商Agent两类.这种货物运输调度模型,通过多智能体运输仿真迭代运行,得到了将货物从起始地运往目的地的最佳物流决策及行驶路线.应用案例分析,虚构一个货运经营商,为客户提供运输服务,验证了货物运输可以在不同的运输条件和政策措施下进行仿真.     

Men's influence on the onset and progress of fertility decline in Ghana, 1988–98

While lower fertility is commonly associated with women's reproductive autonomy, we demonstrate that the influence of men's education on reproductive decision-making increased during the first decade of rapid fertility decline in Ghana. Husband's education exerts a stronger influence on wife's fertility intentions than does her own education, and the magnitude of the effect of his education increased significantly from 1988 to 1998. Lower fertility in Ghana seems to be associated more with men's declining fertility desires than with women's increasing reproductive autonomy. Nevertheless, there is some indication that women's education may play a relatively greater role in reproductive decision-making as fertility decline progresses still further.     

The Protective Action Decision Model: Theoretical Modifications and Additional Evidence

The Protective Action Decision Model (PADM) is a multistage model that is based on findings from research on people's responses to environmental hazards and disasters. The PADM integrates the processing of information derived from social and environmental cues with messages that social sources transmit through communication channels to those at risk. The PADM identifies three critical predecision processes (reception, attention, and comprehension of warnings or exposure, attention, and interpretation of environmental/social cues)—that precede all further processing. The revised model identifies three core perceptions—threat perceptions, protective action perceptions, and stakeholder perceptions—that form the basis for decisions about how to respond to an imminent or long‐term threat. The outcome of the protective action decision‐making process, together with situational facilitators and impediments, produces a behavioral response. In addition to describing the revised model and the research on which it is based, this article describes three applications (development of risk communication programs, evacuation modeling, and adoption of long‐term hazard adjustments) and identifies some of the research needed to address unresolved issues.     

基于期权理论的清洁生产技术投资价值评估

清洁生产作为人类防治污染的一种方法,是实现社会可持续发展的重要途径,对其技术投资价值进行科学合理评估,具有重要现实意义。通过分析清洁生产技术价值的影响因素,识别出清洁生产技术实施中含有期权特性,提出基于期权理论的投资价值评估方法。由于清洁生产技术是典型的美式期权,通常美式期权没有解析解,在建立欧式看涨期权布莱克-斯克尔期权定价模型（B-S模型）的基础上,计算美式期权与欧式期权的差值来变相求解美式期权的价值,对清洁生产技术的投资价值进行评估。案例分析验证表明,实物期权法对清洁生产技术投资价值评估具有合理性和实用性。     

A paradox in decision theory and some experimental results: The relative nature of decisions

A simple two-choice single outcome valued decision under risk is presented which should show up the limitations in the classical approach of von Neumann, its extensions and its alternatives. An empirical testing of this hypothesis strongly supports this criticism. A rationale for explaining the apparent irrational decision is put forward and the case is made for understanding the relative nature of decision choices especially when multi-criteria are involved.     

Linear programming approach to solve interval-valued matrix games

Matrix game theory is concerned with how two players make decisions when they are faced with known exact payoffs. The aim of this paper is to develop a simple and an effective linear programming method for solving matrix games in which the payoffs are expressed with intervals. Because the payoffs of the matrix game are intervals, the value of the matrix game is an interval as well. Based on the definition of the value for matrix games, the value of the matrix game may be regarded as a function of values in the payoff intervals, which is proven to be non-decreasing. A pair of auxiliary linear programming models is formulated to obtain the upper bound and the lower bound of the value of the interval-valued matrix game by using the upper bounds and the lower bounds of the payoff intervals, respectively. By the duality theorem of linear programming, it is proven that two players have the identical interval-type value of the interval-valued matrix game. Also it is proven that the linear programming models and method proposed in this paper extend those of the classical matrix games. The linear programming method proposed in this paper is demonstrated with a real investment decision example and compared with other similar methods to show the validity, applicability and superiority.     

Confronting Deep Uncertainties in Risk Analysis

How can risk analysts help to improve policy and decision making when the correct probabilistic relation between alternative acts and their probable consequences is unknown? This practical challenge of risk management with model uncertainty arises in problems from preparing for climate change to managing emerging diseases to operating complex and hazardous facilities safely. We review constructive methods for robust and adaptive risk analysis under deep uncertainty. These methods are not yet as familiar to many risk analysts as older statistical and model‐based methods, such as the paradigm of identifying a single “best‐fitting” model and performing sensitivity analyses for its conclusions. They provide genuine breakthroughs for improving predictions and decisions when the correct model is highly uncertain. We demonstrate their potential by summarizing a variety of practical risk management applications.     

Cultural Competency and Achieving Styles in Clinical Social Work

Abstract

This paper attempts to build a cultural competency framework by reviewing the literature and laying a conceptual foundation for professional standards in clinical social work. It also explores the implications of cultural competency by relating some important factors to clinical decisions, alliance, and outcome in the mental health field. The pathways and directions of the relationships as well as the potential factors affecting cross-cultural clinical alliance are illuminated in a general model to guide hypothesis formulation in further research. Empirical data are presented on clinical social work practice with Asian American clients in light of a key factor in shaping cultural competency, i.e., clinicians' personal achieving styles. The findings suggest that such styles are culturally bound.     

Modeling Extreme Risks in Ecology

Extreme risks in ecology are typified by circumstances in which data are sporadic or unavailable, understanding is poor, and decisions are urgently needed. Expert judgments are pervasive and disagreements among experts are commonplace. We outline approaches to evaluating extreme risks in ecology that rely on stochastic simulation, with a particular focus on methods to evaluate the likelihood of extinction and quasi‐extinction of threatened species, and the likelihood of establishment and spread of invasive pests. We evaluate the importance of assumptions in these assessments and the potential of some new approaches to account for these uncertainties, including hierarchical estimation procedures and generalized extreme value distributions. We conclude by examining the treatment of consequences in extreme risk analysis in ecology and how expert judgment may better be harnessed to evaluate extreme risks.     

Aspects on the control of false alarms in statistical surveillance and the impact on the return of financial decision systems

In systems for online detection of regime shifts, a process is continually observed. Based on the data available an alarm is given when there is enough evidence of a change. There is a risk of a false alarm and here two different ways of controlling the false alarms are compared: a fixed average run length until the first false alarm and a fixed probability of any false alarm (fixed size). The two approaches are evaluated in terms of the timeliness of alarms. A system with a fixed size is found to have a drawback: the ability to detect a change deteriorates with the time of the change. Consequently, the probability of successful detection will tend to zero and the expected delay of a motivated alarm tends to infinity. This drawback is present even when the size is set to be very large (close to one). Utility measures expressing the costs for a false or a too late alarm are used in the comparison. How the choice of the best approach can be guided by the parameters of the process and the different costs of alarms is demonstrated. The technique is illustrated by financial transactions of the Hang Seng Index.