Online research in philosophy

Since we explain behavior by ascribing intentional states to the agent, many philosophers have assumed that some guiding principle of folk psychology like [Intentional States and Actions] must be true. [Intentional States and Actions]: If A and B are different actions, then the agents performing them must differ in their intentional states at the time they are performed. Recent results in the physiology of vision present a prima facie problem for this principle. These results show that some visual information that guides spatial manipulation and fine motor control is unavailable for verbal report. Plausibly, this information is not consciously available to the agent, and as such, not available to inform the content of intentional states. Thus, it is hard to see how every difference in action is subject to intentional explanation, as [Intentional States and Actions] requires. I articulate the prima facie problem and argue that the most plausible solution requires us to reject [Intentional States and Actions].

For the purpose of this paper, I assume that if a person is morally responsible for an action, this is a necessary and sufhcient condition for moral appraisal of that person for that action. For instance, if the action is morally wrong, moral blame is in order. Other morally relevant responses that are sometimes connected with moral responsibility are praise, pardon, shame, pride, reward, punishment, remorse. I now introduce two quite different concepts of moral responsibility: one grounded on the causal responsibility ofthe agent for an action, the other on the ability of the agent to do otherwise. The one based on the agent’s causal responsibility considers it a necessary condition for praising or blaming an agent for an action, that it was the agent and not something else that brought about the action. The question of moral responsibility becomes one of whether the agent was the or a cause of the action, or whether the agent was forced to act by something else. On this view, actions or choices can be attributed to agents because it is in their actions and choices that the agents, quo moral beings, manifest themselves. The second idea of moral responsibility considers it a prerequisite for blaming or praising an agent for an action that the agent could have done otherwise. This idea is often connected with the agents, sentiments or beliefs that they could have done otherwise, as well as the agents’ feelings of guilt or regret, or pride, for what they have done. Some philosophers consider the causal indeterminedness of the agent’s decision to act as necessary to warrant that the agent could have done otherwise.

In abductive planning, plans are constructed as reasons for an agent to act: plans are demonstrations in logical theory of action that a goal will result assuming that given actions occur successfully. This paper shows how to construct plans abductively for an agent that can sense the world to augment its partial information. We use a formalism that explicitly refers not only to time but also to the information on which the agent deliberates. Goals are reformulated to represent the successive stages of deliberation and action the agent follows in carrying out a course of action, while constraints on assumed actions ensure that an agent at each step performs a specific action selected for its known effects. The result is a simple formalism that can directly inform extensions to implemented planners.

Improvements in computational hardware enabled by nanotechnology promise a dual revolution in coming decades: machines which are both more intelligent and more numerous than human beings. This possibility raises substantial concern over the moral nature of such intelligent machines. An analysis of the prospects involves at least two key philosophical issues. The first, intentionality in formal systems, turns on whether a “mere machine” can be a mind whose thoughts have true meaning and understanding. Second, what is the moral nature of a machine vis-a-vis a human: can a machine be a true moral agent, capable of real responsibility, possessed of rights and duties? If so, might a machine be a better moral agent than a human?

Ascribing mental qualities like beliefs, intentions and wants to a machine is sometimes correct if done conservatively and is sometimes necessary to express what is known about its state. We propose some new definitional tools for this: definitions relative to an approximate theory and second order structural definitions.

This analysis of the concept of a human action takes its point of departure in the fact that actions are things done by persons. But people do many things which do not qualify as actions. A necessary condition for calling something done an action, is that the agent intends or means something by it, in the sense that the agent has some specific end in mind. Thus an action may be said to be the externalization, realization, or expression of the agent's meaning. But what precisely are such meanings or intentions that are given expression in actions? How are they to be distinguished from other mental contents ? The author tries to answer these questions by distinguishing them, on the one hand, from experiences, sensations, feelings, and, on the other hand, from other thoughts and meanings that do not find expression in the action. It is claimed that this account of action explains many characteristics of actions: that actions are appraised, not described (because meanings are evaluated), that an action is regarded as a unity (because the meaning is a unity), that the intention and the performance are not causally related, but related as are the content and expression of linguistic utterances, etc.

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.

Ned Block ((1981). Psychologism and behaviorism. Philosophical Review, 90, 5-43.) argued that a behaviorist conception of intelligence is mistaken, and that the nature of an agent's internal processes is relevant for determining whether the agent has intelligence. He did that by describing a machine which lacks intelligence, yet can answer questions put to it as an intelligent person would. The nature of his machine's internal processes, he concluded, is relevant for determining that it lacks intelligence. I argue against Block that it is not the nature of its processes but of its linguistic behavior which is responsible for his machine's lack of intelligence. As I show, not only has Block failed to establish that the nature of internal processes is conceptually relevant for psychology, in fact his machine example actually supports some version of behaviorism. As Wittgenstein has maintained, as far as psychology is concerned, there may be chaos inside.

Traditionally, the manufacturer/operator of a machine is held (morally and legally) responsible for the consequences of its operation. Autonomous, learning machines, based on neural networks, genetic algorithms and agent architectures, create a new situation, where the manufacturer/operator of the machine is in principle not capable of predicting the future machine behaviour any more, and thus cannot be held morally responsible or liable for it. The society must decide between not using this kind of machine any more (which is not a realistic option), or facing a responsibility gap, which cannot be bridged by traditional concepts of responsibility ascription.