1,720,990 research outputs found
Methodologies and Software Engineering for Agent Systems: the Agent-oriented Software Engineering Handbook
No full textA collection of papers in the area from leading researchers in the field
Evolving Binary Classifiers Through Parallel Computation of Multiple Fitness Cases
No full textThis paper describes two vetsions of a novel apptoach to developing binary classifiers, based on two evolutionary computation paradigms: cellular programming and genetic programming.
Such an approach achieves high computation efficiency both during evolution and at runtime. Evolution speed is optimized by allowing multiple solutions to be computed in parallel. Runtime performance is optimized explicitly using parallel computation in the case of cellular programming or implicitly taking advantage of the intrinsic parallelism of bitwise operators on standard sequential architectures in the case of genetic programming.
The approach was tested on a digit recognition problem and compared with a reference classifier
Ethical Monitoring and Evaluation of Dialogues with a MAS
Full text linkChatbots are tools aimed at simplifying the interaction between humans and computers, typically used in dialogue systems for various practical purposes. These systems should be built on ethical foundations because their behavior may heavily influence a user (think especially about children). The primary objective of this paper is to present the architecture and prototype implementation of a Multi Agent System (MAS) designed for ethical monitoring and evaluation of a dialogue system. A prototype application, for monitoring and evaluation of chatting agents' (human/artificial) ethical behavior in an online customer service chat point w.r.t their institution/company's codes of ethics and conduct, is developed and presented. We focus on the implementation specifics of the proposed system and the presented prototype application. Future work and open issues with this research are discussed
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