An example of such spaces is the so-called 'Smart Room' or 'Intelligent Room': a laboratory space or environment that relies on artificial vision, voice recognition, and movement tracking, based on approximately fifty different communication software packages that are processed on interconnected computers.[3]​.

Another example is the so-called 'Cities with intelligence' or 'Intelligent cities', territories that support innovative processing that makes intensive use of new information and communication technologies (NTICs) as well as virtual representations of objects.[4] Varied examples of these approaches can be analyzed in the publications[5]​[6]​[7]​ of the 'Intelligent Community Forum (ICF)' or 'Intelligent Communities Forum', and especially in the implementations and experiments carried out in the cities identified by the 'ICF' as the most intelligent communities.[8]​.

The most important and important question is not whether we can actually build intelligent environments like those outlined in this article, but rather how we can use sketches or approximations of these intelligent environments as instruments for distributed problem solving.[9]​[10]​.

Furthermore, technical progress is required in key technological fields, such as microelectronics (e.g., miniaturization, electricity consumption), communication and network technologies (e.g., broadband and wireless networks), smart materials (e.g., bio implantations), intelligent agents, etc.[2]​.

An example of such spaces is the so-called 'Smart Room' or 'Intelligent Room': a laboratory space or environment that relies on artificial vision, voice recognition, and movement tracking, based on approximately fifty different communication software packages that are processed on interconnected computers.[3]​.

Another example is the so-called 'Cities with intelligence' or 'Intelligent cities', territories that support innovative processing that makes intensive use of new information and communication technologies (NTICs) as well as virtual representations of objects.[4] Varied examples of these approaches can be analyzed in the publications[5]​[6]​[7]​ of the 'Intelligent Community Forum (ICF)' or 'Intelligent Communities Forum', and especially in the implementations and experiments carried out in the cities identified by the 'ICF' as the most intelligent communities.[8]​.

The most important and important question is not whether we can actually build intelligent environments like those outlined in this article, but rather how we can use sketches or approximations of these intelligent environments as instruments for distributed problem solving.[9]​[10]​.