The aim of this paper is to respond to recent discussion of, and objections to, the libertarian view of free will I have developed in many works over the past four decades. The issues discussed all have a bearing on the central question of how one might make sense of a traditional free will requiring indeterminism in the light of modern science. This task involves, among other things, avoiding all traditional libertarian appeals to unusual forms of agency or causation that (...) cannot be accounted for by ordinary modes of explanation familiar to the natural and human sciences. Doing this, I argue, requires piecing together a “complex tapestry” of ideas and arguments that involve rethinking many traditional assumptions about free will. The paper also argues that one cannot get to the heart of historical debates about free will without distinguishing different kinds of freedom, different senses of will, and different notions of control, among other distinctions. I especially focus here on different notions of freedom and control that are necessary to make sense of free will. (shrink)

There is a deeply entrenched view in philosophy and physics, the closed systems view, according to which isolated systems are conceived of as fundamental. On this view, when a system is under the influence of its environment this is described in terms of a coupling between it and a separate system which taken together are isolated. We argue against this view, and in favor of the alternative open systems view, for which systems interacting with their environment are conceived of as (...) fundamental, and the environment's influence is represented via the dynamical equations that govern the system's evolution. Taking quantum theories of closed and open systems as our case study, and considering three alternative notions of fundamentality: (i) ontic fundamentality, (ii) epistemic fundamentality, and (iii) explanatory fundamentality, we argue that the open systems view is fundamental, and that this has important implications for the philosophy of physics, the philosophy of science, and for metaphysics. (shrink)

The present paper examines the notion of agency using a model from artificial intelligence. The main thesis of the paper is that learning is a necessary condition for agency: Agency presupposes control, and control is acquired in a learning process. This thesis is explored using the so-called PS model. After substantiation the thesis, the paper explores the relation between agency and different kinds of learning using the PS model.

Theories of free agency based on indeterminism -- that is, libertarian theories -- are often accused of undermining an agent's integrity: If an action is due to indeterministic happenings, how can it be called the agent's action to begin with? Isn't a deterministic connection between an agent's circumstances and her action needed to maintain her integrity? We claim that a meaningful notion of agency does not need determinism. In this paper we introduce stochastic libertarianism, a novel theory of free agency (...) under indeterminism. Based on a physically motivated, stochastic model of the temporal evolution of a deliberation process, stochastic libertarianism views indeterminism as a core resource for meaningful agency rather than as a threat. We counter the supposed threat by explicitly discussing Van Inwagen's replay argument, exposing a flaw in the argument that is due to insufficient attention to temporal details. Our approach can also explain how a stochastically libertarian agent developing over time can exhibit highly realiable behavior. We claim, therefore, that integrity in action does not need determinism. (shrink)