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Decision support systems (DSS) are aimed at helping decision makers in devising appropriate solutions to business problems while negotiation support systems (NSS) are aimed at assisting stakeholders in reaching mutually satisfactory decisions. The successful use of these systems involves a combination of human ability and computer support. An implicit assumption underlying their use is that the business...
Mission planning scenarios in robotics typically involve one or more semi-autonomous agents and a human operator. The high-level goal is to find an optimal allocation of agents to tasks. Each individual task or collection of tasks may have subgoals, such as search, localization, or information gathering. Each of these lower-level goals are their own topics, and the high-level goal of task accomplishment...
A modular hierarchical structure is developed to describe human movement planning level. The modular feature of the proposed model enables it to generalize planning a task. The movements are planned based on decomposing a task into its corresponding subtasks (motion phases). There is a module responsible for one condition. The final plan is constructed using soft computing of the plans proposed by...
We investigate the problem of planning for a team of unmanned agents in the presence of constraints. The agents are allowed some probability of violating the constraints, a quantity defined as “risk”. The total risk allowed for the team must be allocated among the constituent agents, and in this work we propose an auctioning mechanism through which agents can bid for risk. Whether a particular bid...
Software architectures people use to control robots differ in their intended aptitudes, towards either a particular application area, or a particular phase of robot use (behavior design, tests, deployment, etc). They also differ in their physical appearance, and more importantly, in their logical structure. The question arises, do the idiosyncrasies reflect basic logical properties of the situation...
Traffic Managers and Supervisors at operational Air Traffic Control (ATC) facilities, and Air Traffic Control System Command Center (ATCSCC) Specialists, have a critical and significant responsibility in the Air Traffic Management (ATM) system to deal with widely varying contingencies and issues. In this regard, the role of these Traffic Management and Supervisory Specialists is to allow the Air Traffic...
Operational U.S. Navy missions require routine performance of multiple complex cognitive and macrocognitive tasks such as planning and sensemaking under demanding conditions. However, the Department of Defense systems acquisition process accounts for only simpler behavioral tasks. This disparity is most evident in command and control systems that are intended to coordinate and manage the employment...
One of the major components of Agent Based Crowd Simulation is motion planning. There have been various motion planning algorithms developed and they've become increasingly better and more efficient at calculating the most optimal path. We believe that this optimality is coming at the price of realism. Certain factors like social norms, limitations to human computation capabilities, etc. prevent humans...
In this paper we present representations and mechanisms that facilitate continuous learning of visual concepts in dialogue with a tutor and show the implemented robot system. We present how beliefs about the world are created by processing visual and linguistic information and show how they are used for planning system behaviour with the aim at satisfying its internal drive - to extend its knowledge...
In Programming by Demonstration (PbD), one of the key problems for autonomous learning is to automatically extract the relevant features of a manipulation task, which has a significant impact on the generalization capabilities. In this paper, task features are encoded as constraints of a learned planning model. In order to extract the relevant constraints, the human teacher demonstrates a set of tests,...
Handing over objects to humans is an essential capability for assistive robots. While there are infinite ways to hand an object, robots should be able to choose the one that is best for the human. In this paper we focus on choosing the robot and object configuration at which the transfer of the object occurs, i.e. the hand-over configuration. We advocate the incorporation of user preferences in choosing...
We propose a framework for the sensor-based estimation of manipulation-relevant object properties and the abstraction of known actions in a learning setup from the observation of humans. The descriptors consists of an object-centric representation of manipulation constraints and a scene-specific action graph. The graph spans between the typical places, where objects are placed. This framework allows...
In this study, we developed and tested a model of human resource management (HRM) systems by integrating performance-based rewards, organizational innovative climates and human resource planning to analyze the relationship between the HRM systems and innovative performance. Three hundred and nine employees from high technology industries of Taizhou City in Zhejiang Province of China participated,...
Analysis and evaluation on land carrying capacity is the key content of environmental impact assessment of urban master planning, even an important criterion of determining the feasibility of resource and environment in urban planning. Currently, most cities are all facing the problem of land resource shortage, land carrying capacity has become the pivotal factor for restricting the urban development,...
In this paper we address the problem of human-aware coverage planning. We first present an approach to learn and model human activity events in a probabilistic spatio-temporal map using spatial Poisson processes. We then propose a coverage planner for paths that minimize the interference probability with people. To this end, we pose the coverage problem as an asymmetric traveling salesman problem...
This paper deals with a multi-agent path planning problem for tracking humans in order to obtain detail information such like human behavior and characteristics. To achieve this, paths of agents are planned based on similarity between the predicted positions of humans and agents' field of views, and the path length in the path planning is determined according to the consistency between the current...
This article describes the dilemma of transformation of private enterprises facing inadequate supply of qualified personnel and a serious brain drain. The external factors of inadequate supply of qualified personnel are macro-policy, regional industrial restructuring and industry talent market, the internal factors are the lack of human resources planning, unstandardized recruitment, poor human resource...
Ontology is becoming popular as a powerful way to structure the knowledge sources for complex systems. Modeling of evolvable ontologies turns out to be a research challenge for many decades. This paper presents how the agent technology can be used to update their ontologies while they are in execution. This solution has been designed to work on a primitive ontology at the beginning. Interaction among...
Open Web-based and social platforms dramatically influence models of work. Today, there is an increasing interest in outsourcing tasks to crowd sourcing environments that guarantee professional processing. The challenge is to gain the customer's confidence by organizing the crowd's mixture of capabilities and structure to become reliable. This work outlines the requirements for a reliable management...
This study is based on the tests of the fitness and health of Year 2007 college girls in Jinggangshan University, located in the center of Jiangxi Province. The tests were performed in 2007 and 2010 twice. The result shows that the BMI and strength (grip strength) for the girl students has improved significantly (P<0.01), while the athletic performance (standing long jump) and the cardiopulmonary...
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