Amherst, USA. He has been trained under a number of very bright and knowledgeable scholars from different fields. Besides his basic training as an electronics engineer and a computer scientist, he studied formal semantics and computational linguistics from Jan Landsbergen and Remko Scha at the Philips Research Labs in Eindhoven. During his Ph.D course, he studied brain theory and cybernetics with Michael Arbib and Nico Spinelli, formal semantics and linguistics with Barbara Partee, category theory and topos theory from Ernie Manes, and philosophy of language with Ed Gettier. All these experiences have resulted in a deeply interdisciplinary research work. After that he taught and carried out research in the USA, Asia and Europe. His main research interests are creative metaphors and analogies, and their formal and computational modeling. Indurkhya’s best known book, Metaphor and Cognition: An Interactionist Approach (1992), sets out an original and comprehensive theory of metaphor in which the interaction between the cognitive agent and his physical and cultural environment stands as a key explanatory principle for a set of issues related to cognition, such as categorization, inductive inference, change of theoretical paradigm, analogical reasoning, creativity etc. The various aspects described within this theoretical framework are discussed, deepened and declined with regard to specific issues in a long series of articles. Currently he has been facing the issue of perceptual similarity related to imagery, setting out an account of the mechanisms involved in visual metaphor

This paper reviews the current state of the art in the research concerning the development of autonomous artificial intelligent agents. First, the meaning of specific terms, like agency, automaticity, autonomy, embodiment, situatedness, and intelligence, are discussed in the context of this domain. The motivations for conducting research in this area are then exposed. We focus, in particular, on the importance of autonomous embodied agents as support for genuine artificial intelligence. Several principles that should guide autonomous agent research are reviewed. Of particular importance are the embodiment and situatedness of the agent, the principle of sensorimotor coordination, and the need for epigenetic development and learning capabilities. They ensure the adaptability, flexibility and robustness of the agent. Several design and evaluation considerations are then discussed. Four approaches to the design of autonomous agents—the subsumption architecture, evolutionary methods, biologically-inspired methods and collective approaches—are