The hive decision versus the individualized decision in Artificial Intelligence

Ton Carrera by Ton Carrera
The hive decision versus the individualized decision in Artificial Intelligence

In certain scenarios, where individual decision is conditioned by collective decisions, an AI, or rather many, with a hive behavior is necessary. The best decision does not always depend on the current scenario but on the future in which many decision-makers will take part. Determining the best decision will depend on considering the decisions of the rest. The most optimal options can become inefficient if we all choose the same option.

The best decision does not always depend on the current or past scenario but on the future. When we choose the best route to get to our homes, it is not enough to assess the traffic levels in the present, but we must consider the convergence points of the other routes chosen by other drivers. When we use an application with GPS, in many cases the route is determined by evaluating the current situation, however, if all drivers used the same APP, this would create unexpected point of collapse. The decision that initially seemed more efficient becomes inadequate.

Individual decisions must consider other decision-makers at all times

The best decision is based on efficiency and collective agreement. This concept carries great value and meaning when we think about the daily life of the human being. The choice of the best place to spend the day may have factors as relevant as the views, the temperature, the distance and many others, however the greater or lesser value of the place where we intend to go will also be conditioned by the number of people converging there. When an AI must make a value decision, it must communicate collectively to assess the suitability of the place, not only based on past data but also on present data in real time. A more interconnected world has to go further, helping everyone to make decisions that take into account the community and the correct distribution of resources and spaces.

The future potential of the AIs, integrated into our APPs, will be based on real-time communication in decision-making

The most optimal decisions can become ineffective if there is a massive predilection. A park that historically tends to be empty on Thursdays can become overcrowded by a massive wrong decision. Gathering information in real time from people, not only who are in that park but also from those who go to there, is a job for an AI or several if we think about hive decisions.

These concepts, presented for everyday situations, represent a key point for the conception and development of more interconnected future AIs in real time. The assessment of situations must go beyond the historical, focusing on offering present value for better use of the time and the presentation of opportunities to users. Transcending privacy, which can be easily guaranteed through the anonymity of the decision maker, we can see the great advantage and future potential that this line of development could provide us. With a growing society, and an increase in population density in cities, it is very necessary to take advantage of AIs to value and communicate efficiently, quickly and in real time to guarantee a use of our time and an improvement in our individual and collective well-being.