Intelligent Agents
نویسنده
چکیده
To gauge how " hot " a technology is, try pinning down a definition that covers all the players and products that claim to implement it. For a cutting-edge technology like intelligent agents, you'll come up with a grab bag: Beyond a germ (or two) of commonality among the definitions where all or most of the candidates agree, many products and research efforts take fundamental agent concepts and properties in widely divergent directions. " The term agent is used to represent two orthogonal concepts. The first is the agent's ability for autonomous execution. The second is the agent's ability to perform domain oriented reasoning. " This definition, from Sankar Virdhagriswaran of agent technology company Crystaliz Inc., is a good starting point but can be expanded in certain areas. First, an agent executes; it acquires input and produces output. Agent processing is domain-oriented: An agent " knows " about certain concepts, data structures, rules, and interfaces but is not necessarily capable of interpreting information outside its field. An agent also " reasons " by encapsulating rules that allow it to transform conditions into decisions. And it operates autonomously by virtue of being persistent and capable of operating in a changing environment. So far, our definition of an intelligent agent applies equally well to travel agents, to many industrial robots, and to software agents. But it's software, of course, that interests us here rather than robot hardware or human " wetware "-database-related software in particular. This article will introduce software-agent technology and concentrate specifically on ways that agents add value to database-related processes such as knowledge discovery and other forms of data analysis, profiling and search, and reporting. In the database realm, much or even most of the relevant work is being done not with mainstream relational database management systems but rather with specialized DBMSs that manage analytical data and unstructured information like text, images, and multimedia Web content. Agents are also able to encapsulate pattern-recognition algorithms and rules-based processing systems that make them a potentially ideal tool for
منابع مشابه
A Context-aware Architecture for Mental Model Sharing through Semantic Movement in Intelligent Agents
Recent studies in multi-agent systems are paying increasingly more attention to the paradigm of designing intelligent agents with human inspired concepts. One of the main cognitive concepts driving the core of many recent approaches in multi agent systems is shared mental models. In this paper, we propose an architecture for sharing mental models based on a new concept called semantic movement....
متن کاملHierarchical Functional Concepts for Knowledge Transfer among Reinforcement Learning Agents
This article introduces the notions of functional space and concept as a way of knowledge representation and abstraction for Reinforcement Learning agents. These definitions are used as a tool of knowledge transfer among agents. The agents are assumed to be heterogeneous; they have different state spaces but share a same dynamic, reward and action space. In other words, the agents are assumed t...
متن کاملUser-based Vehicle Route Guidance in Urban Networks Based on Intelligent Multi Agents Systems and the ANT-Q Algorithm
Guiding vehicles to their destination under dynamic traffic conditions is an important topic in the field of Intelligent Transportation Systems (ITS). Nowadays, many complex systems can be controlled by using multi agent systems. Adaptation with the current condition is an important feature of the agents. In this research, formulation of dynamic guidance for vehicles has been investigated based...
متن کاملIntelligent multi-agent modeling of the interbank network and evaluation of the impact of regulatory policies
agent-based modeling is an emerging computational technique that makes it possible to simulate complex economic systems, including the banking network, with a bottom-up approach. In this paper, the country's banking network is simulated with an intelligent multi-agent modeling model and indicates that these agents behave based on the adaptive learning. This modeling has been done with the aim o...
متن کاملInvestigating Impact of Intelligent Agents in Improving Supply Chain Performance
Improvement in supply chain performance is one of the major issues in the current world. Lack of coordination in the supply chain is the main drawback of supply chain that many researchers have proposed different methodologies to overcome it. VMI (Vendor-managed inventory) is one of these methodologies that implementing it has some obstacles. This paper proposes new model that is agent-managed ...
متن کاملOutsourcing or Insourcing of Transportation System Evaluation Using Intelligent Agents Approach
Nowadays, outsourcing is viewed as a trade strategy and organizations tend to adopt new strategies to achieve competitive advantages in the current world of business. focusing on main copmpetencies, and transferring most of activities to outside resources of organization( outsourcing) is one such strategy is. In this paper, we aim to decide on decision maker agent of transportation system, by a...
متن کامل