Agents in a nutshell-a very brief introduction

Abstract

Agent-based approaches are becoming increasingly important because of their generality, flexibility, modularity, and ability to take advantage of distributed resources. Agents are used in information retrieval, entertainment, coordinating multiple robots, and modeling economic systems. Agents can recommend music, tell stories, and interact with people. They are useful for reducing humans' work and information load in tasks such as medical monitoring and battlefield reasoning. Agents are already changing the way in which we gather information, manage investments, and conduct business. This article provides an introduction to agent issues, outlines motivations for using agent-based paradigms, and describes some of their current uses.

Affinities between multi-agent systems and service-dominant logic: Interactionist implications for business marketing practice

“…A software architecture agent is an entity in a computing architecture that embodies certain properties said to be characteristic of agents (Hayes, 1999;Luck, McBurney, Shehory, & Willmott, 2005). This entity operates in the manner of an intelligent agent, which is understood to possess at least the characteristics detailed in Table 2.…”

Nutrient risk assessment in a decision theoretic context

“…This approach is based on the emergence of behaviour from populations of independent rational decision agents [24,25]. We selected 101 students of computer sciences as intelligent people from a reasonably wide background with no specific knowledge of the topic.…”

Personalized Intelligent Training on the Web: A Multi-Agent Approach

“…The paradigm is still forming. The roots of agent oriented (AO) methodology a ttain from OOP methodology [14], [15], [16] and AI studies [17]; hence, an intelligent agent may be defined as "a decision making system that acts on and reacts to the environment".…”