Attention Cognitive Function
Attention is the cognitive process of selectively concentrating on a discrete aspect of input information in order to behave in a way to reach an objective. Other researchers define the attention as a biological filter to help to optimize the resources in the achievement of an objective. This research has as objective to propose a computational model and an implementation of this cognitive function and integrate it into the Cuāyōllōtl architecture. This research must take into account different related works developed in our group. These works and divisions must be taken into account as a departure point.
Another Sensor Modality For Cuāyōllōtl
The Cuāyōllōtl cognitive architecture must include different modalities of sensor system Currently, different works inside our research group are considering visual and auditive sens. Research on other sens like somatosensorial, gustative, and olfactive are needed. There are also different sources of internal sensor systems. For instance, hunger, thirst, sleep, among different others. The objective of this research is to study the sensor system to select one of them and to propose a model of the selected sense based on biological (neurosciences and psychology) evidence and integrate it into the Cuāyōllōtl architecture.
The Compete and/or collaborating Sensory System
The brain structures receive continuous information from the sensorial system, i.e., information from the visual system, somatosensorial system, etc. This information ought to be taken into account to solve a need. This research considers studying the process of competition or collaboration among the information provided by the different senses to fulfill an objective. The objectives are: using the group methodology in order to define a model based on biological evidence of this human brain-behavior and integrate this model into the Cuāyōllōtl cognitive architecture.
Currently, there are many sensors mobile and fix in our environment. The information coming from these sensors is useful to make a decision solving a task. Upon the complexity of the task to solve, it will be needed information from many sensors, or more elaborated information can be needed. I.e., maybe it will be needed to compose a service from more than one kind of sensor and to interpret that information in order to give it a meaning (perception) helping to solve a specific task. The animals, including the human, achieve this task of mixing the information conveniently from different modalities of the sensory system. The objective of this work is to propose a methodology to compose pervasive systems using a biological or multiagent traditional approach (like obligations, norms, deontological logic.).
We have open positions on different topics, for instance, learning, curiosity, personality, non-declarative memory, declarative memory, and multiagent systems problems like coordination, synchronization, federations of societies for undergraduate, master, and Ph.D. students. Essential qualities for all positions needed to succes are motivation and work in group