Abstract. Agents often may prepare for and perform actions without being conscious of these processes. However, in other cases, at some point in time the agent can develop some awareness state relating to the action. This can be an awareness state prior to the execution of the action. An awareness state can also develop in retrospect, after the action was performed. In this paper a neurologically inspired agent model is introduced that is able to make such distinctions. Scenarios are covered in which actions are prepared without being conscious at any point in time. Also scenarios are covered in which the agent develops proir awareness or retrospective awareness, or both. When prior awareness is developed it may be the case that this awareness has a decisive effect on actually executing the action, but it may equally well be the case that the awareness state has no effect on whether the action is performed. All these variations have been illustrated by a wide variety of simulation experiments.

No abstract

No abstract

No abstract

No abstract

No abstract

This paper describes an agent-based analysis approach to determine in which way a net zero house can be obtained. In particular, it addresses agent-based simulation to estimate annual energy usage for heating based on an air to water heat pump. Based on the introduced approach house owners will be able to decide on the specifications for further renewable energy production systems to be installed, for example, solar or wind energy production systems in order to obtain a net zero house in the present and in future years.

This paper presents a computational cognitive model for action awareness focusing on action preparation and performance by considering its cognitive effects and affects from both prior and retrospective form relative to the action execution. How action selection and execution contribute to the awareness or vice versa is a research question, and from the findings of brain imaging and recording techniques more information has become available on this. Some evidence leads to a hypothesis that awareness of action selection is not directly causing the action execution (or behaviour) but comes afterwards as an effect of unconscious processes of action preparation. In contrast, another hypothesis claims that both predictive and inferential processes related to the action preparation and execution may contribute to the conscious awareness of the action, and furthermore, this awareness of an action is a dynamic combination of both prior awareness (through predictive motor control processes) and retrospective awareness (through inferential sense-making processes) relative to the action execution. The proposed model integrates the findings of both conscious and unconscious explanations for both action awareness and ownership and acts as a generic computational cognitive model to explain agent behaviour through the interplay between conscious and unconscious processes. Validation of the proposed model is achieved through simulations on suitable scenarios which are covered with actions that are prepared without being conscious at any point in time, and also with the actions that agent develops prior awareness and/or retrospective awareness. Having selected an interrelated set of scenarios, a systematic approach is used to find a suitable but generic parameter value set which is used throughout all the simulations that highlights the strength of the design of this cognitive model.