Intelligent agents (Computer software)
Extra Specific Multiword Expressions for Language Endowed Intelligent Agents
... Challenge 3. Literal vs. metaphorical meanings. Many expressions can be used in a literal or a metaphorical meaning, with the overall context being the only clue for disambiguation. For example, outside of contexts ...
10
Grid load balancing using intelligent agents
... This work addresses grid load balancing issues using a combination of intelligent agents and multi-agent approaches. For local grid load balancing, the iterative heuristic algorithm is more efficient than ...
15
An Artificial Immune Networking Using Intelligent Agents
... The objective of the proposed work is to formally verify and implement an Artificial Immune Networking model. The work focuses on the protection against computer viruses which disrupt the normal usage of the network. The ...
9
Intelligent Agents: A Comprehensive Survey
... creating intelligent agents which are having some intelligent behaviors and they are able to act instead of human or ...Each intelligent agent is capable to perceive its environment by sensors ...
9
Network Self-Fault Management Based on Multi-Intelligent Agents and Windows Management Instrumentation (WMI) Hasanen S. Abdullah| Maha Abdulkareem Alrawi | Dalal N. Hammod
... This section displays an evaluation of the proposed NSFM that obtained faster method than other methods because client tried to solve his/her faults alone without server action, therefore, the proposed method avoids the ...
9
Using Intelligent Agents for Building Evacuation: A UML Approach
... of intelligent machines [1]. An intelligent machine is a system that perceives its environment and takes action to maximize its chances of ...of agents first appeared in seventies due to an ...
5
Assisting learning using computers through the application of animated pedagogical agents (APA) or intelligent agents
... This paper is a concept paper that will mainly discuss the on idea of applying Animated Pedagogical Agents (APA) or also known as Intelligent Agents into learning process. The paper intends to ...
5
The evolutionary emergence of socially intelligent agents
... socially intelligent agents. In order to generate agents with novel behaviors beyond our manual design capability, long-term incremental evolution with continuing emergence within a social ...
9
A framework for security in data mining using intelligent agents
... using intelligent agents, which is taking decision on behalf of user on the basic of particular ...situation. Intelligent having different ...Multiple agents work together for same purpose so ...
10
Modelling Socially Intelligent Agents
... real agents, which can be people or other institutional units (such as firms or ...as intelligent software ...designing agents or robots to meet particular goals – what might be called an engineering ...
13
Using Intelligent Agents to Manage Business Processes
... If the desired service is bespoke— id_service_req_profile fails—then the next sub-serv- ice to be executed is Cost_&_Design_Customer_Network . Again the SEM informs the SAM that there is no associated SLA in place. ...
16
Constructing a Virtual Training Laboratory Using Intelligent Agents
... An important decision in designing a multi-agent system for the task considered in this paper is what information processing emphasis should be put on the mediator level. As indicated in Section 3.2, mediators are ...
11
ADEPT: Managing Business Processes Using Intelligent Agents
... The reasoning model also represents a novel contribution of this work. Existing work on negotiation can be divided into two distinct camps. The theoretical work (e.g. (12, 13, 14)) pro- vides important insights into how ...
20
A System Generating CV through Intelligent Agents and Apache Cocoon
... highly expressive markup language. In the context of this work, some new concepts have been introduced, for example axioms related to the disjointness of different research areas, facilitating the interaction among the ...
8
Bio-inspired Obstacle Avoidance: From Animals to Intelligent Agents
... Reinforcement learning (RL) is a sub-domain of machine learning that deals with solving sequential decision tasks through trial and error interactions with the environment. The agents make their choice of actions ...
8
Argumentative Learning with Intelligent Agents
... argumentation of computers by designing four computing models for argumentation; it makes the desirable argumentative learning practical by developing learning systems with [r] ...
277
Artificial Societies of Intelligent Agents
... Well, according to what we stated about intelligence in the previous section, we could judge that the consciousless answer was an intelligent one. But let us discuss about consciousness. We can drive a car without ...
111
Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents
... In this work, we propose an unsupervised transfer learn- ing technique inspired from ELMo and Universal Language Model Fine Tuning (ULMFiT) to leverage unlabeled text for building SLU models (Peters et al. 2018; Howard ...
8
MAX FLOW BASED ON TOPOLOGY CONTROL CHANNEL ASSIGNMENT IN MULTI RADIO MULTI CHANNEL WIRELESS MESH NETWORKS
... on intelligent agents and ontologies, the middleware element formed by ontology and composition layers provides mechanisms to coordinate existent services in order to provide a new personalized ...request, ...
8
Agent-based Up-to-date Data Management in National electronic Library for Communicable-Disease
... of Intelligent Agents, a fast-growing area in software technology, is information retrieval and assistance in searching information in the Internet ...addition, agents autonomous behaviour enables ...
20