Artificial intelligence and grids: workflow planning and beyond

Brain Intelligence: Go Beyond Artificial Intelligence

Artificial intelligence (AI) is an important technology that supports daily social life and economic activities. It contributes greatly to the sustainable growth of Japan's economy and solves various social problems. In recent years, AI has attracted attention as a key for growth in developed countries such as Europe and the United States and developing countries such as China and India. The at...

Fuzzy models and modeling beyond Artificial Intelligence

In a great variety of application fields where decision making is based on a very large number of factors and/or vague or imprecise conditions it is necessary to introduce some new models and modeling techniques which go beyond the more traditional approaches offered by symbolic Artificial Intelligence. The key problem here is the combination of imprecision and uncertainty with high complexity ...

Symbolic Artificial Intelligence, Connectionist Networks and Beyond

Social Situatedness of Natural and Artificial Intelligence: Vygotsky and Beyond

The concept of ‘social situatedness’, i.e. the idea that the development of individual intelligence requires a social (and cultural) embedding, has recently received much attention in cognitive science and artificial intelligence research, in particular work on social or epigenetic robotics. The work of Lev Vygotsky who put forward this view already in the 1920s has influenced the discussion to...

Symbolic Artificial Intelligence, Connectionist Networks & Beyond

The goal of Artificial Intelligence, broadly defined, is to understand and engineer intelligent systems. This entails building theories and models of embodied minds and brains -both natural as well as artificial. The advent of digital computers and the parallel development of the theory of computation since the 1950s provided a new set of tools with which to approach this problem -through analy...