Social Feedback in Display Ecosystems

Anzengruber, Bernhard; Castelli, Gabriella; Rosi, Alberto; Ferscha, Alois; Zambonelli, Franco

doi:10.1109/smc.2013.493

Cited by 4 publications

(3 citation statements)

References 19 publications

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“…In a wider context, Stranders et al proposes decentralized coordination algorithms for multiple sensors (Stranders et al, 2009), and Zambonelli's SAPERE project is pursuing a pervasive services in context-aware systems (Anzengruber et al, 2013;Montagna et al, 2013). Their approaches are similar to our proposal approach even though none of them considers using MANET and mobile agents.…”

Section: Discussionmentioning

confidence: 93%

Multi-agent Approach for Return Route Support System Simulation

Taga

Matsuzawa

Takimoto

et al. 2016

Proceedings of the 8th International Conference on Agents and Artificial Intelligence

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We propose a system that supports stranded commuters caused by a large-scale disaster. When a large-scale disaster breaks out, buildings may collapse and roads may be damaged and the public transportation systems would be paralyzed. Thus, people working in the city center have to walk back home on foot. The problem is that when those people start walking, the situation along the routes for returning home may be different from that of the pre-disaster. Not only may it be the first time for most of them to walk home, but also the return route may be extremely complex due to many detours. They have to look for alternative routes whenever bridges collapse and fires break out. Making situation become worse, modern people intensively use navigation systems, those systems may be unavailable due to the paralyzed Internet. A large scale disaster may destroy base stations of wireless phones, and even if it does not completely destroy them, extreme congestion may paralyze the communication infrastructure so that not only net-surfing using smartphone, but also collecting information by e-mail may become impossible. To deal with such situations, we are designing a system that provides those unfortunate pedestrians appropriate return routes to their homes without depending on the communication infrastructures. Instead, our proposed system only depends on smartphones of those pedestrians and constructs mobile ad hoc networks (MANET) to collect and disperse useful information. We employ multiple mobile agents extensively for information collection and dispersion. In order to demonstrate the feasibility of our system, we have constructed a preliminary prototype of the simulation system and have conducted numerical experiments.

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Section: Discussionmentioning

confidence: 93%

Multi-agent Approach for Return Route Support System Simulation

Taga

Matsuzawa

Takimoto

et al. 2016

Proceedings of the 8th International Conference on Agents and Artificial Intelligence

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“…Applications to help people socialize via the mediation of interactive displays, i.e., by sharing via them information and comments about events around (Anzengruber et al, 2013;Castelli et al, 2013). In this way, we can help people reach some forms of collective awareness and increase the feeling of being part of a community.…”

Section: Addressing the Challengesmentioning

confidence: 99%

Engineering self-organizing urban superorganisms

Zambonelli

2015

Engineering Applications of Artificial Intelligence

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Progresses in ubiquitous, embedded, and social networking and computing make possible for people in urban areas to dynamically interact with each other and with ICT devices around. This can result in a system with a very large number of agents working together in an orchestrated and self-organizing way to achieve specific urban-level goals, i.e., as if they were a “superorganism”. In this paper, we sketch the future vision of urban superorganisms and overview some emerging application areas heading towards the vision. Following, we identify the key challenges in engineering self-organizing multi-agent systems that can work as a superorganism, i.e., seamlessly involving ICT agents and human agents so to achieve some required urban level goals. Finally, we introduce the reference architecture for an infrastructure to support our future vision of self-organizing urban superorganisms

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“…As a second example, we have implemented a "social feedback" application [1], where public displays receive LSAs by users expressing their personal food preferences, and are able guide users to individually optimized food providers (e.g., restaurants, pub, cafeteria, etc.). This selection is based on (i) the food preferences of users and on(ii) the estimated waiting time at the various lunch locations, computed by aggregating (via the aggregate eco-law) the overall number of users in that location; Users can then be directed towards the most proper locations by following the gradients of appropriate computational fields.…”

Section: Application Areasmentioning

confidence: 99%

Engineering Environment-Mediated Coordination via Nature-Inspired Laws

Zambonelli

2015

Lecture Notes in Computer Science

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SAPERE is a general multiagent framework to support the development of self-organizing pervasive computing services. One of the key aspects of the SAPERE approach is to have all interactions between agents take place in an indirect way, via a shared spatial environment. In such environment, a set of nature-inspired coordination laws have been defined to rule the coordination activities of the application agents and promote the provisioning of adaptive and self-organizing services.

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Social Feedback in Display Ecosystems

Cited by 4 publications

References 19 publications

Multi-agent Approach for Return Route Support System Simulation

Multi-agent Approach for Return Route Support System Simulation

Engineering self-organizing urban superorganisms

Engineering Environment-Mediated Coordination via Nature-Inspired Laws

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