Online research in philosophy

We consider the problem of executing conscious behavior i.e., of driving an agent’s actions and of allowing it, at the same time, to run concurrent processes reflecting on these actions. Toward this end, we express a single agent’s plans as reflexive dialogs in a multi-agent system defined by a virtual machine. We extend this machine’s planning language by introducing two specific operators for reflexive dialogs i.e., conscious and caught for monitoring beliefs and actions, respectively. The possibility to use the same language both to drive a machine and to establish a reflexive communication within the machine itself stands as a key feature of our model.

The development and deployment of the notion of pre-objective or nonconceptual content for the purposes of intentional explanation of requires assistance from a practical and theoretical understanding of computational/robotic systems acting in real-time and real-space. In particular, the usual "that"-clause specification of content will not work for non-conceptual contents; some other means of specification is required, means that make use of the fact that contents are aspects of embodied and embedded systems. That is, the specification of non-conceptual content should use concepts and insights gained from android design and android epistemology.

The rapidly developing field of Brain-Machine Interface (BMI) technology seeks to establish a direct communication-and-control channel between human brain and machines. Practical applications for BMI include restoration of lost vision and motor functions, and even extending normal human capabilities. But unfortunately current BMI systems are far too poor to achieve even a level of performance that is comparable to what humans are normally capable of, let alone improving it. And this situation holds on for quite a while. The possible solution for coming out is to move research focus to those aspects of brain-machine interaction that usually do not receive much attention. The study of consciousness is one of such important aspects, as this poster seeks to prove, that could eventually allow us to bring BMI technology to the advanced stages, making its capabilities closer to capabilities of those BMI devices that appear in science fiction. Understanding consciousness and how it arises from the brain is crucial for achieving that goal. And BMI technology itself provides a lot of new questions and opportunities for consciousness research. BMI can progress far enough to allow such levels of integration between artificial devices and biological neural networks that they could work as a single system, not just separate entities communicating between each other. But how consciousness can then be represented in this mixed system? Will consciousness be privilege of living part only? Can the artificial part add something to conscious experience or even expand it? Furthermore, it would be possible to integrate neural systems of different living organisms by interfacing them to single artificial network. Will their consciousness be integrated then too? And how can such integrated mind be experienced? This poster explores ways in which Brain-Machine Interfaces can contribute to consciousness research, and discusses how better understanding of consciousness in context of brain-machine interaction will allow us to build BMI systems with extended capabilities.

Setting aside the problems of recognising consciousness in a machine, this article considers what would be needed for a machine to have human-like conscious- ness. Human-like consciousness is an illusion; that is, it exists but is not what it appears to be. The illusion that we are a conscious self having a stream of experi- ences is constructed when memes compete for replication by human hosts. Some memes survive by being promoted as personal beliefs, desires, opinions and pos- sessions, leading to the formation of a memeplex (or selfplex). Any machine capa- ble of imitation would acquire this type of illusion and think it was conscious. Robots that imitated humans would acquire an illusion of self and consciousness just as we do. Robots that imitated each other would develop their own separate languages, cultures and illusions of self. Distributed seflplexes in large networks of machines are also possible. Unanswered questions include what remains of consciousness without memes, and whether artificial meme machines can ever transcend the illusion of self consciousness.

In this collection of essays we hear from an international array of computer and brain scientists who are actively working from both the machine and human ends...