The Manifold Object Of Language

Coordination Languages and Models

The Mind As a Scientific Object

What holds together the various fields that are supposed to consititute the general intellectual discipline that people now call cognitive science? In this book, Erneling and Johnson identify two problems with defining this discipline. First, some theorists identify the common subject matter as the mind, but scientists and philosophers have not been able to agree on any single, satisfactory answer to the question of what the mind is. Second, those who speculate about the general characteristics that belong to cognitive science tend to assume that all the particular fields falling under the rubric--psychology, linguistics, biology, and son on--are of roughly equal value in their ability to shed light on the nature of mind. This book argues that all the cognitive science disciplines are not equally able to provide answers to ontological questions about the mind, but rather that only neurophysiology and cultural psychology are suited to answer these questions. However, since the cultural account of mind has long been ignored in favor of the neurophysiological account, Erneling and Johnson bring together contributions that focus especially on different versions of the cultural account of the mind.

Objective Coordination in Multi-Agent System Engineering

Based on a suitably defined coordination model distinguishing between objective (inter-agent) coordination and subjective (intra-agent) coordination, this book addresses the engineering of multi-agent systems and thus contributes to closing the gap between research and applications in agent technology. After reviewing the state of the art, the author introduces the general coordination model ECM and the corresponding object-oriented coordination language STL++. The practicability of ECM/STL++ is illustrated by the simulation of a particular collective robotics application and the automation of an e-commerce trading system. Situated at the intersection of behavior-based artificial intelligence and concurrent and distributed systems, this monograph is of relevance to the agent R&D community approaching agent technology from the distributed artificial intelligence point of view as well as for the distributed systems community.