35439746
Role-Based and Agent-Oriental Teamwork Modeling
14270166
A Role-Based Approach in Dynamic Task Delegation in Agent Teamwork
This paper presents a role-based agent teamwork language called RoB-MALLET (Role-Based Multi-Agent Logic Language for Encoding Teamwork). Roles have been used to form multi-agent theories and guide the construction of multi-agent architectures and systems. Different from the most existing agent teamwork models that emphasize practical reasoning based on beliefs, desires and intentions (BDI), a role-based teamwork language stresses the concept of organization and thereby cooperation. RoB-MALLET is able to handle unexpected uncertainties and allow for the conceptual specification of teamwork knowledge for reuse. Finally, we present several experiments that explore plan reusability of RoB-MALLET, show that it is flexible in supporting simultaneity of invocation and evaluate its efficiency in supporting teamwork.
40423470
Proactive Communication in Observation-Based Agent Team Corporation
2679883
Observation-based proactive communication in team cooperation
Observation and communication are important aspects of agent teamwork. We employ the agent's observability as the major means for individual agents to reason about the environment and other team members. We focus on how to represent agents' observability and how to include it into the basic reasoning for proactive communication. The syntax and the operational semantics of observability are given. Preliminary experiments are carried out to study the effectiveness of different aspects of observability.
2560128
Towards Human Decision-Making in Multi-Agent Systems
2 Decision theory finds its roots as a formal topic of research in the fields of economics and psychology. It traditionally relied upon the formal description of decision making embodied principle of maximum expected utility (EUT). But EUT can not capture the common human decision-making attitudes because it does not model the domain of human intuitions – thoughts or preferences that come to mind quickly and without much reflection. This paper models one human’s intuitive attitudes toward risk: risk-aversive and risk-seeking. Rather than immediately making a choice directly from the set of alternatives, agents first form an attitude concerning each possible alternative and likewise solve the corresponding decision problem with a preference order. Correspondingly, this preference order should not be constructed solely on the basis of the individual agent’s own attitudes but with the attitudes of all agents which are relevant. This paper presents our work on above two issues: capturing human intuitive decision-making under risk and extending it to social settings. Finally, we present two experiments that explore risk management behaviors of agents in social settings.
2366521
Observant and Proactive Communication in Multi-agent Teamwork
This paper investigates effective human team cooperation and incorporated the findings into multi-agent teamwork. We describe how to give agents the same cooperative capabilities, observability and proactivity, that humans use. We show how agents can use observation of the environment and of teammates' actions to estimate the teammates' beliefs without generating unnecessary messages; we also show how agents can anticipate information needs among the team members and proactively communicate the information. Finally, we present two experiments that explore the effectiveness and the scalability of the use of observability and proactivity.
6483143
Using Proximity in Query Focused Multi-document Extractive Summarization
The query focused multi-document summarization tasks usually tend to answer the queries in the summary. In this paper, we suggest introducing an effective feature which can represent the relation of key terms in the query. Here, we adopt the feature of term proximity commonly used in the field of information retrieval, which has improved the retrieval performance according to the relative position of terms. To resolve the problem of data sparseness and to represent the proximity in the semantic level, concept expansion is conducted based on WordNet. By leveraging the term importance, the proximity feature is further improved and weighted according to the inverse term frequency of terms. The experimental results show that our proposed feature can contribute to improving the summarization performance.
37364297
Design Of Fuzzy Neural Network Controller For Marine Steam Turbine System
Due to the complication of marine steam turbine system, and the nonlinearity, uncertainty and complexity of the steam turbine model, the conventional speed regulation system can no longer meet our requirement. Fuzzy neural network (FNN) is applied to the complex process modeling and logical inference. In this paper modular modeling methods is used to establish the model of steam turbine. So a new type speed regulation system based on neural network is presented by combining the fuzzy and neural network in this paper.
43457446
Synthesis of facial expressions using a 3D anatomical model
In this paper we propose an individualized 3D facial model constructed from the anatomical perspective for realistic facial expression synthesis. Our model incorporates a physically-based approximation to facial skin tissue, a set of anatomically-motivated facial muscle actuators and underlying skull structure. The skin is modeled as a multi-layer mass-spring lattice by taking into account the nonlinear stress-strain relationship of the real skin. The 3D face model incorporates a skull structure which extends the scope of facial motion and facilitates facial muscle definition. The automatic facial muscle construction is achieved by using an efficient muscle mapping approach that ensures different muscles to be located at the anatomically correct positions between the skin and skull layers. For computational efficiency, we devise a semi-implicit integration method to numerically solve the governing dynamics. The dynamic facial animation algorithm runs at an interactive rate with realistic facial expressions to be synthesized.
19419085
Computer Virus Evolution Model Inspired by Biological DNA
There has been considerable interest in computer viruses since they appeared. Firstly, computer viruses make software developers pay more attention to security and develop anti-virus technology more carefully. Secondly, computer viruses are vital simulation platforms to study biological viruses. Moreover, computer viruses (a form of artificial life) are helpful to enhance the understanding of the philosophy of life. Therefore, computer viruses and their evolutions are worth thoroughly studying in scientific research sense. To further investigate the evolution of computer viruses, a DNA-based model for computer viruses evolution, which draws inspiration from biological DNA and artificial life, is proposed. The formal definition of computer virus is introduced, and the evolution operators which include selection, mutation, and recombination operator are presented. The simulation experiments were conducted and the results indicate that computer viruses have enormous capabilities of self-propagation and self-evolution.
5397904
Modeling and Throughput Analysis for Wireless Ad Hoc Networks
This paper presents a novel analytical model for wireless ad hoc networks. Based on the strong points in the literature, an accurate performance model for IEEE 802.11 MAC protocol is proposed. Moreover, by introducing the properties of spatial reuse, we extend the proposed model to support the throughput analysis of wireless ad hoc networks with directional antenna. An extensive set of simulations and numerical calculations validate our model by showing high accurate results.