A hybrid POMDP-BDI agent architecture with online stochastic planning and plan caching
This article presents an agent architecture for controlling an autonomous agent in stochastic, noisy environments. The architecture combines the partially observable Markov decision process (POMDP) model with the belief-desire-intention (BDI) framework. ...
A socially-based distributed self-organizing algorithm for holonic multi-agent systems
Holonic multi-agent systems (HMASs) have recently attracted many researches in multi-agent systems community. Inspired from the multi-level and self-similar structures of social and biological system, holonic multi-agent systems have been widely used to ...
Presuppositions about the role of consciousness in the agent causation conception of agents and the problem of the disappearing agent
Well-known theories of Agent Causation rely on a conception of agency that expects that agents play a role in the production of their action, a conscious role. According to this conception of agents, the requirement of consciousness provides ground for ...
Public policy and the wisdom of crowds
Collective intelligence, or the wisdom of crowds, refers to a phenomenon by which, under the right conditions, groups of individuals can render highly accurate judgments. This phenomenon has long played an important role in economics, where ...
Learning in the visual association of novice and expert designers
Analyse differences between expert and novice designers engaging in visual association.Parallel activities in both hemispheres of the experts support their association tasks.The association engagement of the novices was mainly in their right ...
Coordinated policy action and flexible coalitional psychology
The observation that politics makes strange bedfellows may be hackneyed, but it is also often true: Politicians and other actors in the policy process routinely align themselves on specific issues with actors with whom they otherwise have broad ...
A computational analysis of general intelligence tests for evaluating cognitive development
The progression in several cognitive tests for the same subjects at different ages provides valuable information about their cognitive development. One question that has caught recent interest is whether the same approach can be used to assess the ...
Natural & normative dynamical coupling
Cognitive science has been dealt with the unique task of straddling and bridging the gaps between the mind and the body. One such gap that has not received as much attention within the literature is the gap between the natural and the normative. We ...
Problem definition and information provision by federal bureaucrats
Federal bureaucrats are important sources of information about policy problems. However, federal officials compete for this influence with organized interests plying their own problems and solutions. We attribute the differential agenda influence of the ...
Emergence of multimodal action representations from neural network self-organization
The integration of multisensory information plays a crucial role in autonomous robotics to forming robust and meaningful representations of the environment. In this work, we investigate how robust multimodal representations can naturally develop in a ...
Personalising game difficulty to keep children motivated to play with a social robot
For effective child education, playing games with a social robot should be motivating for a longer period of time. One aspect that can affect the motivation of a child is the difficulty of a game. The game should be perceived as challenging, while at ...
Specifying and testing the design rationale of social robots for behavior change in children
We are developing a social robot that helps children with diabetes Type 1 to acquire self-management skills and routines. There is a diversity of Behavior Change Techniques (BCTs) and guidelines that seem to be useful for the development of such support,...
The effects of cognitive biases and imperfectness in long-term robot-human interactions
The research presented in this paper demonstrates a model for aiding human-robot companionship based on the principle of human cognitive biases applied to a robot. The aim of this work was to study how cognitive biases can affect human-robot ...
Time-informed task planning in multi-agent collaboration
Human-robot collaboration requires the two sides to coordinate their actions in order to better accomplish common goals. In such setups, the timing of actions may significantly affect collaborative performance. The present work proposes a new framework ...
