An introduction to agent technology

Product intelligence: its conceptualization, measurement and impact on consumer satisfaction

“…Deliberative agents collect and store information on their environment and use this information to build an internal model that represents this environment. This internal model is used when these agents perform complex decision-making tasks (Nwana and Ndumu 1997). The decisions that deliberative agents make depend on their environment and may vary along with changes in this environment.…”

“…The decisions that deliberative agents make depend on their environment and may vary along with changes in this environment. Reactive agents, on the other hand, react to an event in their environment without consulting an internal model and act using a stimulus/ response type of behavior (Nwana and Ndumu 1997). The actions of reactive agents to a certain event are the same in different environments and also remain the same over time.…”

Computing with Mobile Agents in Distributed Networks

“…According to Bradshaw [Bra97] an agent that inhabits an environment with other agents and processes is expected to be able to communicate and cooperate with them, and perhaps move from place to place in doing so. Nwana et al [NN97] attempt to divide mobile agents in categories of either simple (cooperative, learning, autonomous) or composite (collaborative, collaborative learning, interface, smart) behavior.…”

A Multi-Agent Based Approach for Particle Swarm Optimization

“…The basic attributes of an agent that are considered typical are autonomy, learning and cooperation [7]. These properties imply that agents are capable of executing independently from any other control and possibly asynchronously, discover relevant knowledge from the the environment and other agents that may help in attaining the desired goals, and work cooperatively and competitively with other agents.…”