An Introduction to MultiAgent Systems.

(1963). Cybernetics, or Control and Communication in the Animal and the Machine. Technometrics: Vol. 5, No. 1, pp. 128-130.

Cybernetics, or Control and Communication in the Animal and the Machine

El articulo ofreece una presentacion comentada del Informe presentado a la
UNESCO por la Comision lnternacional sobre la Educacion para el siglo XXI,
presidida por Jacques Delors. Se trata de una obra de obligada lrctura para aquellos
que ejercen su labor docente o se preparan para ella a las puertas del proximo
milenio.

La educación encierra un tesoro

Constructivist Learning Environments: Case Studies in Instructional Design

E n los últimos años nos hemos acostumbrado a ver soluciones de automatización y control en que la utilización de técnicas de inteligencia artificial aporta beneficios contrastables. Varias marcas comercializan reguladores borrosos o combinados (por ejemplo, PID con control anticipativo borroso), o incluyen mecanismos de ajuste fino de parámetros basados en lógica borrosa. Ocasionalmente, las redes neuronales se han utilizado en el modelado y control de sistemas no lineales. La implantación masiva de sistemas de adquisición y registro de datos (en ocasiones impuestos por requisitos de trazabilidad y calidad) ha permitido un mejor conocimiento de las plantas, que se ha reflejado en las tareas de ingeniería y gestión. Se persigue, por tanto, la reutilización de este conocimiento directamente en planta para detectar y diagnosticar en línea. El beneficio recaerá tanto en la mejora de planes de mantenimiento (ajuste de tiempos, predicción de fallos, asignación de recursos, planificación, etc.) como en la toma de decisiones por parte del supervisor (reducción del tiempo para conocer las causas) para evitar situaciones catastróficas.

A.I. (Inteligencia Artificial)

The trans-border region of Tijuana-San Diego with its multi-ethnic, multi-cultural society experiences a broad spectrum of social problems. The use of multi-agent systems to simulate such societies has increasingly been used as social research tool in these contexts, but is constrained by a lack of well defined contextual models. This paper proposes the use of the Viable Systems Model to underpin theory in multi-agent systems research and explores the benefits of using cybernetic thinking to understanding the problems being experienced in the Tijuana-San Diego conurbation.

A cybernetic approach to multi-agent system simulation in Tijuana-San Diego using the Viable Systems Model

Technology has become a necessity in our everyday lives and essential for completing activities we typically take for granted; technologies can assist us by completing set tasks or achieving desired goals with optimal affect and in the most efficient way, thereby improving our interactive experiences. This paper presents research that explores the representation of user interaction levels using an intelligent hybrid system approach with agents. We evaluate interaction levels of Human-Computer Interaction (HCI) with the aim of enhancing user experiences. We consider the description of interaction levels using an intelligent hybrid system to provide a decision-making system to an agent that evaluates interaction levels when using interactive modules of a museum exhibition. The agents represent a high-level abstraction of the system, where communication takes place between the user, the exhibition and the environment. In this paper, we provide a means to measure the interaction levels and natural behaviour of users, based on museum user-exhibition interaction. We consider that, by analysing user interaction in a museum, we can help to design better ways to interact with exhibition modules according to the properties and behaviour of the users. An interaction-evaluator agent is proposed to achieve the most suitable representation of the interaction levels with the aim of improving user interactions to offer the most appropriate directions, services, content and information, thereby improving the quality of interaction experienced between the user-agent and exhibition-agent.

https://www.mdpi.com/2076-3417/8/3/446/pdf

Modelling the Interaction Levels in HCI Using an Intelligent Hybrid System with Interactive Agents: A Case Study of an Interactive Museum Exhibition Module in Mexico

This paper presents a method for creating Forex market predictive models using multi-agent and fuzzy systems, which have the objective of simulating the interactions that provoke changes in the price. Agents in the system represent traders performing buy and sell orders in a market, and fuzzy systems are used to model the rules followed by traders performing trades in a live market and intuitionistic fuzzy logic to model their decisions’ indeterminacy. We use functions to restrict the agents’ decisions, which make the agents become specialized at particular market conditions. These “specialization” functions use the grades of membership obtained from an agent’s fuzzy system and thresholds obtained from training data sets, to determine if that agent is specialized enough to handle a market’s current conditions. We have performed experiments and compared against the state of the art. Results demonstrate that our method obtains predictive errors (using mean absolute error) that are in the same order of magnitude than those errors obtained by models generated using deep learning and models generated by random forest, AdaBoost, XGBoost, and support-vector machines. Furthermore, we performed experiments that show that identifying specialized agents yields better results.

/pdf/using-fuzzy-inference-systems-for-the-creation-of-forex-4ek46n0qcu.pdf

Using Fuzzy Inference Systems for the Creation of Forex Market Predictive Models

This work is motivated by the need to propose a model for the study of personalized hypermedia systems with a competency approach. We use computer agents, to construct a student model with emphasis on his learning style, using different multiple intelligences as well the competency model to adapt the course material to the student’s needs. The system will use agent’s technology as well artificial intelligence techniques. The systems will be used in a university setting; the primary goal is to help each student learn and thus reach a suitable competency level. In this paper the model’s requirements are presented.

On the Modelling of Adaptive Hypermedia Systems Using Agents for Courses with the Competency Approach

Technological advancements have revolutionized the proliferation and availability of information to users, which has created more complex and intensive interactions between users and systems. The learning process of users is essential in the construction of new knowledge when pursuing improvements in user experience. In this paper, the interruption factor is considered in relation to interaction quality due to human–computer interaction (HCI) being seen to affect the learning process. We present the results obtained from 500 users in an interactive museum in Tijuana, Mexico as a case study. We model the HCI of an interactive exhibition using belief–desire–intention (BDI) agents; we adapted the BDI architecture using the Type-2 fuzzy inference system to add perceptual human-like capabilities to agents, in order to describe the interaction and interruption factor on user experience. The resulting model allows us to describe content adaptation through the creation of a personalized interaction environment. We conclude that managing interruptions can enhance the HCI, producing a positive learning process that influences user experience. A better interaction may be achieved if we offer the right kind of content, taking the interruptions experienced into consideration.

Manuel Castañón-Puga

Papers

A cybernetic approach to multi-agent system simulation in Tijuana-San Diego using the Viable Systems Model

Modelling the Interaction Levels in HCI Using an Intelligent Hybrid System with Interactive Agents: A Case Study of an Interactive Museum Exhibition Module in Mexico

Using Fuzzy Inference Systems for the Creation of Forex Market Predictive Models

On the Modelling of Adaptive Hypermedia Systems Using Agents for Courses with the Competency Approach

Modelling the Interruption on HCI Using BDI Agents with the Fuzzy Perceptions Approach: An Interactive Museum Case Study in Mexico