Ubiquitous computing in emergency: Role-based situation response based on self-organizing resource network

Ubiquitous computing opens new possibilities in various aspects of human activities. The paper proposes an approach to emergency situation response that benefits from the ubiquitous computing. The approach is based on utilizing profiles to facilitate the coordination of the activities of the emergency response operation members. The major approach underlying idea is to represent the operation members jointly with information sources as a network of services that can be configured via negotiation of participating parties. Such elements as profile structure, role-based emergency response, negotiation scenarios, and negotiation protocols are described in detail.

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Ubiquitous Computing for Personalized Decision Support in Emergency

International Journal of Information Systems for Crisis Response and Management ◽

10.4018/jiscrm.2011100104 ◽

2011 ◽

Vol 3 (4) ◽

pp. 55-72 ◽

Cited By ~ 4

Author(s):

Alexander Smirnov ◽

Tatiana Levashova ◽

Nikolay Shilov ◽

Alexey Kashevnik

Keyword(s):

Decision Support ◽

Ubiquitous Computing ◽

Emergency Response ◽

Human Activities ◽

Information Sources ◽

Emergency Situation ◽

Role Based ◽

Negotiation Protocols

Ubiquitous computing opens new possibilities in various aspects of human activities. The paper proposes an approach to emergency situation response that benefits from the ubiquitous computing. The approach is based on utilizing profiles to facilitate the coordination of the activities of the emergency response operation members. The major approach underlying idea is to represent the operation members jointly with information sources as a network of services that can be configured via negotiation of participating parties. Such elements as profile structure, role-based emergency response, negotiation scenarios, and negotiation protocols are described in detail.

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Role-Based Modeling for Designing Agent Behavior in Self-Organizing Multi-Agent Systems

International Journal of Software Engineering and Knowledge Engineering ◽

10.1142/s0218194018500043 ◽

2018 ◽

Vol 28 (01) ◽

pp. 79-96

Author(s):

Kemas M. Lhaksmana ◽

Yohei Murakami ◽

Toru Ishida

Keyword(s):

Autonomous Systems ◽

Systems Design ◽

Role Modeling ◽

Modeling Method ◽

Multi Agent Systems ◽

Smart Transportation ◽

Agent Systems ◽

Multi Agent ◽

Role Based ◽

Self Organizing

Self-organization has been proposed to be implemented in complex systems which require the automation capabilities to govern itself and to adapt upon changes. Self-organizing systems can be modeled as multi-agent systems (MAS) since they share common characteristics in that they consist of multiple autonomous systems. However, most existing MAS engineering methodologies do not fully support self-organizing systems design since they require predefined goals and agent behaviors, which is not the case in self-organizing systems. Another feature that is currently not supported for designing self-organizing MAS is the separation between the design of agent behaviors and behavior adaptation, i.e. how agents adapt their behaviors to respond upon changes. To tackle these issues, this paper proposes a role modeling method, in which agent behaviors are represented as roles, to design how agents perform behavior adaptation at runtime by switching between roles. The applicability of the proposed role modeling method is evaluated in a case study of a self-organizing smart transportation system.

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Dual systems for all: Higher-order, role-based relational reasoning as a uniquely derived feature of human cognition

Behavioral and Brain Sciences ◽

10.1017/s0140525x19000451 ◽

2019 ◽

Vol 42 ◽

Author(s):

Daniel J. Povinelli ◽

Gabrielle C. Glorioso ◽

Shannon L. Kuznar ◽

Mateja Pavlic

Keyword(s):

Temporal Reasoning ◽

Higher Order ◽

Important Case ◽

Human Cognition ◽

Relational Reasoning ◽

Dual Systems ◽

First Order ◽

Reasoning System ◽

Role Based

Abstract Hoerl and McCormack demonstrate that although animals possess a sophisticated temporal updating system, there is no evidence that they also possess a temporal reasoning system. This important case study is directly related to the broader claim that although animals are manifestly capable of first-order (perceptually-based) relational reasoning, they lack the capacity for higher-order, role-based relational reasoning. We argue this distinction applies to all domains of cognition.

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