Replanning Mechanism for Deliberate Agents in Dynamic Changing Environments

This paper proposes a replanning mechanism for deliberative agents as a new approach to tackling the frame problem. We propose a beliefs desires and intentions (BDI) agent architecture using a case-based planning (CBP) mechanism for reasoning. We discuss the characteristics of the problems faced with planning where constraint satisfaction problems (CSP) resources are limited and formulate, through variation techniques, a reasoning model agent to resolve them. The design of the agent proposed, named MRP-Ag (most-replanable agent), will be evaluated in different environments using a series of simulation experiments, comparing it with others such as E-Ag (Efficient Agent) and O-Ag (Optimum Agent). Last, the most important results will be summarized, and the notion of an adaptable agent will be introduced

Hybrid Agents Based Architecture on Automated Dynamic Environments

This paper presents a hybrid agents based architecture that uses case-based reasoning and case-based planning systems as reasoning mechanism in deliberative BDI agents to manage daily tasks and hardware devices on dynamic environments. This architecture is also founded on Ambient Intelligence, joining a set of technologies, such as radio frequency identification, wireless networks and wireless control devices, which can be implemented on a wide diversity of environments

Running Agents in Mobile Devices

This paper presents a deliberative architecture based on the concept of CBP-BDI agent. A CBP-BDI agent is a BDI agent that incorporates a CBP reasoning engine. The work here presented focuses in the development of a multiagent system that has been constructed for the management of some aspects of a shopping mall, specially the interaction with clients, so the aim is to get the portability of a CBP-BDI agent to mobile devices. The system has been tested and this paper presents the results obtained

Hybrid Architecture for a Reasoning Planner Agent

This paper presents a hybrid architecture that facilitates the incur-poration of a case-based planning system as the reasoning motor for a deliberative agent. This architecture makes possible to solve a wide range of problems in terms of agents and multi-agent systems. The problems are resolved in terms of plans, using plans that have already been experienced

Proposing to use artificial neural Networks for NoSQL attack detection

[EN] Relationships databases have enjoyed a certain boom in software worlds until now. These days, with the rise of modern applications, unstructured data production, traditional databases do not completely meet the needs of all systems. Regarding these issues, NOSQL databases have been developed and are a good alternative. But security aspects stay behind. Injection attacks are the most serious class of web attacks that are not taken seriously in NoSQL. This paper presents a Neural Network model approach for NoSQL injection. This method attempts to use the best and most effective features to identify an injection. The features used are divided into two categories, the first one based on the content of the request, and the second one independent of the request meta parameters. In order to detect attack payloads features, we work on character level analysis to obtain malicious rate of user inputs. The results demonstrate that our model has detected more attack payloads compare with models that work black list approach in keyword level

Development of CBR-BDI Agents: A Tourist Guide Application

In this paper we present an agent-based application of a wireless tourist guide that combines the Beliefs-Desires-Intentions approach with learning capabilities of Case Base Reasoning techniques. This application shows how to develop adaptive agents with a goal driven design and a decision process built on a CBR architecture. The resulting agent architecture has been validated by real users who have used the tourist guide application, on a mobile device, and can be generalized for the development of other personalized services

Agent-Based Web Engineering

Technological evolution of the Internet world is fast and constant. Successful systems should have the capacity to adapt to it and should be provided with mechanisms that allow them to decide what to do according to such changes. This paper shows how an autonomous intelligent agent can be used to develop web-based systems with the requirements of today users. Internet applications should be reactive, proactive, and autonomous and have to be capable of adapting to changes in its environment and in the user behavior. The technological proposal presented in the paper also facilitates the interoperability and scalability of distributed systems