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- Agent based simulation for group formationPublication . Marreiros, Goreti; Santos, Ricardo; Ramos, Carlos; Neves, JoséGroup decision making plays an important role in today’s organisations. The impact of decision making is so high and complex, that rarely the decision making process is made just by one individual. The simulation of group decision making through a Multi-Agent System is a very interesting research topic. The purpose of this paper it to specify the actors involved in the simulation of a group decision, to present a model to the process of group formation and to describe the approach made to implement that model. In the group formation model it is considered the existence of incomplete and negative information, which was identified as crucial to make the simulation closer to the reality.
- Automatically Inferring ClassSheet Models from SpreadsheetsPublication . Cunha, Jacome; Erwig, Martin; Saraiva, Joao
- A bidirectional model-driven spreadsheet environmentPublication . Cunha, Jácome; Mendes, Jorge; Fernandes, João Paulo; Saraiva, João
- Bidirectional Transformation of Model-Driven SpreadsheetsPublication . Jácome Cunha; Fernandes, João Paulo; Mendes, Jorge; Hugo Pacheco; Saraiva, João
- Complexity Metrics for ClassSheet ModelsPublication . Cunha, Jácome; Fernandes, João Paulo; Mendes, Jorge; Saraiva, João
- Coordinated transportation of a large object by a team of two robotsPublication . Soares, Rui; Bicho, EstelaIn this paper dynamical systems theory is used as a theoretical language and tool to design a distributed control architecture for a team of two robots that must transport a large object and simultaneously avoid collisions with obstacles (either static or dynamic). This work extends the previous work with two robots (see [1] and [5]). However here we demonstrate that it’s possible to simplify the architecture presented in [1] and [5] and reach an equally stable global behavior. The robots have no prior knowledge of the environment. The dynamics of behavior is defined over a state space of behavior variables, heading direction and path velocity. Task constrains are modeled as attractors (i.e. asymptotic stable states) of a behavioral dynamics. For each robot, these attractors are combined into a vector field that governs the behavior. By design the parameters are tuned so that the behavioral variables are always very close to the corresponding attractors. Thus the behavior of each robot is controlled by a time series of asymptotic stable states. Computer simulations support the validity of the dynamical model architecture.
- Discovery-based edit assistance for spreadsheetsPublication . Cunha, Jacome; Saraiva, Joao; Visser, Joost
- Embedding and Evolution of Spreadsheet Models in Spreadsheet SystemsPublication . Cunha, Jácome; Fernandes, João Paulo; Mendes, Jorge; Saraiva, João
- An Empirical Study on End-users Productivity Using Model-based SpreadsheetsPublication . Laura Beckwith; Cunha, Jácome; Fernandes, João Paulo; Saraiva, João
- Extension and implementation of ClassSheet modelsPublication . Cunha, Jácome; Fernandes, João Paulo; Mendes, Jorge; Saraiva, João
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