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Multi-agent approaches have been widely used to model complex systems of distributed nature with a large amount of interactions between the involved entities. Power systems are a reference case, mainly due to the increasing use of distributed energy sources, largely based on renewable sources, which have potentiated huge changes in the power systems' sector. Dealing with such a large scale integration...
This paper presents the Realistic Scenarios Generator (RealScen), a tool that processes data from real electricity markets to generate realistic scenarios that enable the modeling of electricity market players' characteristics and strategic behavior. The proposed tool provides significant advantages to the decision making process in an electricity market environment, especially when coupled with a...
In the presence of negative weights in communication graph, bipartite consensus is an extension of the traditional consensus problems where the communication weights are all positive. An output-based distributed control protocol is established to solve the bipartite consensus of the homogeneous multi-agent systems. Bipartite consensus problem is equivalent to a linear stabilizable and detectable problem...
Modern societies are facing an important aging of their population, leading to rising economic and social challenges such as the pressure on health support services for semi-autonomous persons. Smart home technology is considered by many researchers as a promising potential solution to help support the needs of elders. It aims to provide cognitive assistance by taking decisions, such as giving hints,...
We present a model of simple cognitive agents, called “creatures”, and their learning process, a type of “social observational learning”, that is each creature learns from the behaviour of other creatures. The creatures may experience fear and/or desire, and are capable of evaluating if a strategy has been applied successfully and of applying this strategy again with small changes to a similar but...
A Combinatorial Reverse Auction Trading Infrastructure - CRATI is designed and implemented as an agent-based system. Two basic building blocks Java Agent Development Framework (JADE) and an Open Source Java Constraint Programming Library (Choco Solver) are used to facilitate agent interactions and an optimization task. For our purpose, it is shown that auction Winner Determination Problem (WDP) can...
Modeling realistic altruism for nonplayer characters (NPCs) is an interesting problem with substantive potential benefits to game creators and players, in the form of more believable game characters and immersive games. An experiment was conducted to investigate how humans would interpret altruistic behavior in artificial agents in a predator/prey environment. This paper describes an experiment focused...
This paper describes the development of a novel web-delivered computer game, Boundary, where human players vie against each other or computer agents that use adaptive learning to modify playing strategies. The novelty presents challenges in game development both in terms of game playability and enjoyment as well as designing intelligent computer game players. An adaptive artificial intelligent agent...
In the disaster management, the agents have to coordinate them to form groups of agents to solve disaster tasks. They must satisfy resource, temporal and communication constraints. In multiagent systems, disaster management can be formalized as a task assignment problem (TAP). In TAP, agents with different capabilities must satisfy constraints to assign values associated with the disaster tasks. In...
Ambient Intelligent (AmI) technology can be used to help older adults to live longer and independent lives in their own homes. Information collected from AmI environment can be used to detect and understand human behaviour, allowing personalized care. The behaviour pattern can also be used to detect changes in behaviour and predict future trends, so that preventive action can be taken. However, due...
The Internet has opened new interesting scenarios in the fields of e-commerce, marketing and on-line transactions. In particular, thanks to mobile technologies, customers can make purchases in a faster and cheaper way than visiting stores, and business companies can increase their sales volume due to a world-wide visibility. Moreover, online trading systems allow customers to gather all the required...
Ambient Assisted Living (AAL) is considered as the main technological solution that will enable the aged and people in recovery to maintain their independence and a consequent high quality of life for a longer period of time than would otherwise be the case. This goal is achieved by monitoring human's activities and deploying the appropriate collection of services to set environmental features and...
This paper investigates the challenges in developing a semantic-based Dementia Care Decision Support System based on the non-intrusive monitoring of the patient's behaviour. Semantic-based approaches are well suited for modelling context-aware scenarios similar to Dementia care systems, where the patient's dynamic behaviour observations (occupants movement, equipment use) need to be analysed against...
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