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1. Abstract

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development on sourceforge :

As our identities become less based on our geographical locations, what will be the future of moving? How can we reinterpret Archigram's Walking City?

Users in different locations entering constraints to find optimal locations
Hi-ve is a social search engine which links people with similar interests, by providing a platform to form socio-interest groups in physical space where users can collectively decide where to go and solve problems related to their interests.
The Hi-ve search returns a list of environments which would be ideal for you to go to, by comparing realtime Googlemap data with your likes, dislikes and interests related to a physical space. You can also view other people who have gathered near your results in real time, who are likely the people with similar interests. From there you can meet in physical space to collectively decide where to go, or even solve problems related to your interests and fears.

Hi-ve works in many scales. It can be used locally to find a good pub or used on a global scale to discover locations for avoiding threats such as Environmental Change, Tsunami and Pandemic.

Tribal Engine suggesting areas to avoid global threats
About Be-Global
Be-Global is the Hi-ve search applied on a global scale, using the global threat data provided by Cesar Harada's Open Sailing Platform project. Be-Global's suggested areas are calculated from realtime Goolgemap data compared with how much you consider certain parameters (e.g. Dry Land, Pandemic, or Military Conflicts) a threat to yourself.

The physical communities which emerge from the search reflect the social groups sharing similar concerns about the globe. These emerged social groups may collaborate to solve problems, decide where to go, or dissipate and merge as the people's interests shift.

Tribal Engine suggesting areas - you can adjust how much you like or dislike certain things with the sliders.
About Be-Local

Be-Local is the Hi-ve search applied on a city scale (London is used in this particular prototype). Be-Local pulls the data of shops, venues and restaurants from Googlemaps to compare with your likes and dislikes, to suggest the ideal areas for you to go out.

The system behind Hi-ve is inspired by how a group of bees or ants find their prey or predator. The system's technology is based on Swarm Intelligence, which is a type of intelligence which emerges from the collective behavior of decentralised, self-organized systems. Swarm Intelligence systems are typically made up of a group of simple agents interacting locally with one another and with their environment. The agents follow very simple rules, and although there is no centralised control structure determining how individual agents should behave, interactions between the agents lead to the emergence of "intelligent" global behavior, unknown to the individual agents.

In Hi-ve, each particle represented on the map is an agent following the basic swarming rules called the Boids rule which are:

* separation: steer to avoid crowding local flockmates
* alignment: steer towards the average heading of local flockmates
* cohesion: steer to move toward the average position of local flockmates

In addition the particles follow the rules set by the user's likes and dislikes (i.e. repulsion and attraction to certain areas)


Timeline Comparison of Google and Tribal Engine