This chapter argues that the economic system is best perceived as a complex adaptive system, and as such, the traditional analytical methods of economics are not optimal for its study. Agent-based computational economics (ACE) studies the economic system from the bottom up and recognizes interaction between autonomous agents as the central mechanism in generating the self-organizing features of...

In this article, we consider contemporary theories of concepts, and Bayesian and self-organizing models of concept formation. After introducing the different models, we present our own experiment. It utilizes a multi-agent simulation framework, in which the emergence of a common vocabulary can be studied. In the experiment, we use jointly the self-organizing maps and probabilistic modeling of c...

The steady-state and nonequilibrium properties of the model of environmentaleconomic interactions are studied. The interacting heterogeneous agents are simulated on the platform of the emission dynamics of cellular automaton. The model possess the discontinuous transition between the safe and catastrophic ecology. Right at the critical line, the broad-scale power-law distributions of emission r...

Service composition is an important research problem in service computing systems, which combines simple and individual services into composite services to fulfill users’ complex requirements. Service composition usually consists of four stages, i.e., service discovery, candidate selection, service negotiation and task execution. In self-organising systems, there is the fifth stage of service c...

Aphasia diagnosis is a challenging medical diagnostic task due to the linguistic uncertainty and vagueness, large number of measurements with imprecision, inconsistencies in the definition of Aphasic syndromes, natural diversity and subjectivity in test objects as well as in options of experts who diagnose the disease. In this paper we present a new self-organized multi agent system that diagno...

For many DAI researchers, autonomy is a vital definitional prerequisite for an agent. We argue that a strict commitment o this view is too rigorous and insufficient in complex and large-scale systems and propose the holonic agent paradigm, where the degree of autonomy in an agent society is dynamically adjusted to the problem at hand. A holonic agent is an agent which is composed of subagents, ...

Based on some features of the immune system (the selection-based mechanism compatible with Edelman’s selectionist principle, self/nonself-reference and negative/positive selection), we proposed the immune algorithm. The algorithm proceeds in three steps: diversity generation, establishment of self-tolerance, and memorizing non-self. The algorithm may be used typically to deal with the system by...

Complex Systems usually consist of a large number of interacting components; therefore multi-agent models can play a valuable role in exploring and simulating their dynamic behavior. In the first part of this paper we address some conceptual issues associated with designing agent-based models for complex systems. In the second part we investigate the dynamics of a “minimalistic” multi-agent sys...