5517190
A Model for Creativity in Creature Generation
This paper brings a proposal and general specification of a new project that aims to apply Conceptual Blending (Fauconnier and Turner 1998) as a process of creature generation in games. The project we describe is based on Divago (Pereira and Cardoso, 2003 and should be able to bring novelty among creatures that populate a game. Moreover, it is expected to extend these capabilities to other objects in a game, towards a very dynamic environment. Since this is a work in progress, we provide the first preliminary results or experimental examples and try to provide the reader with a clear image of the framework to be followed.
18713951
Using CBR for Semantic Analysis of Software Specifications
Helping software designers in their task implies the development of tools with intelligent capabilities. One such capability is the integration of natural language understanding in CASE tools, thus improving the designer/tool communication. In this paper, we present a CBR approach for the generation of UML class diagrams from natural language text. This approach is implemented in a CASE tool, with the goal of helping the software designer create the first system model. We describe the natural language conversion module and give an overview of the tool in which it is integrated. Experimental results for retrieval and adaptation mechanisms are also presented.
11166519
Case Retrieval of Software Designs using WordNet
Software design is one of the most important phases in system development, due to crucial decisions that are made during this phase. The need for software being developed in less time puts a lot of pressure in the design phase. One way to solve this problem is to reuse previous design solutions. In software design reuse the retrieval of relevant designs is a key issue. 
 
Case-Based Reasoning reuses past experiences to solve new problems, providing a reasoning framework for design reuse. But designing software involves reasoning at a more abstract level than coding software, thus a software design reuse tool must be able to work with a broad range of abstract concepts. A possible solution is the use of a common sense ontology, capable of providing this kind of knowledge, otherwise the system would have to demand a lot of knowledge from the designer. 
 
This paper presents an approach to software design retrieval based on Case-Based Reasoning combined with a common sense ontology - WordNet. We describe the case retrieval algorithm, the case similarity metrics and experimental results.
16219760
Selection and Reuse of Software Design Patterns Using CBR and WordNet
Software engineers and programmers deal with repeated problems and situations in the course of software design. This lead to the development of software design patterns, which can be defined as a description of an abstract solution for abstract design problems. Existing approaches to pattern application using computer tools, need the help and guidance of a human designer to select which design pattern to apply. The automation of this task opens the possibility of CASE design tools providing complete automation for the application of design patterns, and the offering new functionalities that can help the software designer to improve systems, and do better software reuse. In this paper we present an approach that automates design pattern selection and application. This approach is based on CaseBased Reasoning and WordNet, showing how they are combined to generate evolved software design diagrams. We also present an experimental study of our approach.
15250271
Evaluation of Case-Based Maintenance Strategies in Software Design
CBR applications running in real domains can easily reach thousands of cases, which are stored in the case library. Retrieval times can increase greatly if the retrieval algorithm can not cope with such an amount of cases. Redundancy can also be a problem, focusing retrieval alternatives in a very restricted search space. Basically, the system's performance starts to degrade with the increase of the case-base size. Case-base maintenance allows CBR systems to deal with this problem, mainly through the use of case selection criteria. In this paper we present an experimental study about several case-base maintenance policies developed till now. We adapted and implemented these policies to a CBR system for software reuse and design, testing the applicability of these policies to cases with a complex representation (combination of tree and graph representations).
9759378
Noun Sense Disambiguation with WordNet for Software Design Retrieval
Natural language understanding can be used to improve the usability of intelligent Computer Aided Software Engineering (CASE) tools. For a software designer it can be helpful in two ways: a broad range of natural language terms in the naming of software objects, attributes and methods can be used; and the system is able to understand the meaning of these terms so that it could use them in reasoning mechanisms like information retrieval. But, the problem of word sense disambiguation is an obstacle to the development of computational systems that can fully understand natural language. In order to deal with this problem, this paper presents a word sense disambiguation method and how it is integrated with a CASE tool.
6376797
Sharing engineering information and knowledge
This paper describes an agent-based recommendation system developed to support knowledge acquisition and sharing processes. Its purpose is to aid the process of community building, specially in the early phase of peer search and recognition in a distributed engineering environment, where multidisciplinary teams must be established. In this kind of problem information about possible candidates to make up the teams must be gathered from all available channels, including the electronic ones. Due to privacy issues, Web based data mining systems are not efficient for the purpose of constructing candidate's profiles, even if they can offer some help; therefore a distributed solution that permits each candidate's workplace to be explored was developed. As a means of aggregating collected knowledge for sharing, a conceptual model, relating candidate's profiles and their knowledge domain was developed in the form of an ontology. This strategy allows the system to be specialised in terms of the candidates' main knowledge domain.
10585259
Three-phase immiscible displacement in heterogeneous petroleum reservoirs
We describe a fractional-step numerical procedure for the simulation of immiscible three-phase flow in heterogeneous porous media that takes into account capillary pressure and apply it to indicate the existence of a so-called "transitional" wave in at least some multi-dimensional flows, thereby extending theoretical results for one-dimensional flows. The step procedure combines a second-order, conservative central difference scheme for a pertinent system of conservation laws modeling the convective transport of the fluid phases with locally conservative mixed finite elements for the associated parabolic and elliptic problems.
9947181
The Influence of Learning in the Evolution of Busy Beavers
The goal of this research is to study how individual learning interacts with an evolutionary algorithm in its search for good candidates for the Busy Beaver problem. Two learning models, designed to act as local search procedures, are proposed. Experimental results show that local search methods that are able to perform several modifications in the structure of an individual in each learning step provide an important advantage. Some insight about the role that evolution and learning play during search is also presented.
8187463
Vehicle Routing Problem: Doing It The Evolutionary Way
Some routes in the chromosome may cause the vehicle to exceed its capacity. When this happens, we perform the following modification: the route that exceeds the vehicle capacity is split in several ones. These changes only occur at the interpretation level and, therefore, the information codified in the chromosome is not altered. 3 COEVOLUTIONARY APPROACH We use two subpopulations: individuals from the 1 describe the size of each route; individuals from the 2 specify the order by which the nodes are visited. Routes that exceed vehicle capacity are split.
8238424
GVR: A New Genetic Representation for the Vehicle Routing Problem
In this paper we analyse a new evolutionary approach to the vehicle routing problem. We present Genetic Vehicle Representation (GVR), a two-level representational scheme designed to deal in an effective way with all the information that candidate solutions must encode. Experimental results show that this method is both effective and robust, allowing the discovery of new best solutions for some well-known benchmarks.