Abstract
Phenomenological states are generally considered sources of intrinsic motivation for autonomous biological agents. In this paper we will address the issue of exploiting these states for robust goal-directed systems. We will provide an analysis of consciousness in terms of a precise definition of how an agent ?understands? the informational flows entering the agent. This model of consciousness and understanding is based in the analysis and evaluation of phenomenological states along potential trajectories in the phase space of the agents. This implies that a possible strategy to follow in order to build autonomous but useful systems is to embed them with the particular, ad-hoc phenomenology that captures the requirements that define the system usefulness from a requirements-strict engineering viewpoint.
| Original language | English |
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| Title of host publication | Machine Consciousness 2011 |
| Subtitle of host publication | Self, Integration and Explanation - Proceedings of a Symposium at the AISB'11 Convention |
| Pages | 55-60 |
| Publication status | Published - 2011 |
| Externally published | Yes |
| Event | Machine Consciousness 2011: Self, Integration and Explanation - A Symposium at the AISB'11 Convention - York, United Kingdom Duration: 4 Apr 2011 → 7 Apr 2011 |
Conference
| Conference | Machine Consciousness 2011: Self, Integration and Explanation - A Symposium at the AISB'11 Convention |
|---|---|
| Country/Territory | United Kingdom |
| City | York |
| Period | 4/04/11 → 7/04/11 |