Autonomous Agents addresses the related topics of self-control and individual autonomy. "Self-control" is defined as the opposite of akrasia-weakness of will. The study of self-control seeks to understand the concept of its own terms, followed by an examination of its bearing on one's actions, beliefs, emotions, and personal values. It goes on to consider how a proper understanding of self-control and its manifestations can shed light on personal autonomy and autonomous behaviour. Perspicuous, objective, and incisive throughout, Alfred (...) Mele makes a convincing case for the value of individual autonomy. (shrink)

Agents and agent-based systems are becoming essential in the development of various fields, such as artificial intelligence, ubiquitous computing, ambient intelligence, autonomous computing, and intelligent robotics. The concept of autonomous agents, inspired by the observed agency in living systems, is also central to current theories on the origin, development, and evolution of life. Therefore, it is crucial to develop an accurate understanding of agents and the concept of agency. This paper begins by discussing the role (...) of agency in natural systems as an inspiration and motivation for agential technologies and then introduces the idea of artificial agents. A systematic approach is presented for the classification of artificial agents. This classification aids in understanding the existing state of the artificial agents and projects their potential future roles in addressing specific types of problems with dedicated agent types. (shrink)

In this paper we present some concepts and their relations that are necessary for modeling autonomous agents in an environment that is governed by some (social) norms. We divide the norms over three levels: the private level the contract level and the convention level. We show how deontic logic can be used to model the concepts and how the theory of speech acts can be used to model the generation of (some of) the norms. Finally we give some (...) idea about an agent architecture incorporating the social norms based on a BDI framework. (shrink)

Living-donor kidney transplantation is the “gold standard” treatment for many individuals with end-stage renal failure. Superior outcomes for the graft and the transplant recipient have prompted the implementation of new strategies promoting living-donor kidney transplantation, and the number of such transplants has increased considerably over recent years. Living donors are undoubtedly exposed to risk. In his editorial “underestimating the risk in living kidney donation”, Walter Glannon suggests that more data on long-term outcomes for living donors are needed to determine whether (...) this risk is permissible and the extent to which physicians and transplant surgeons should promote living-donor kidney transplantation.1 In this paper I argue that it is not clear that medical professionals have underestimated this risk, nor is it clear that more data on long-term outcomes are needed in order to determine whether it is permissible for individual autonomous agents to expose themselves to this or, indeed, any risk. The global shortage of organs available for transplantation ultimately means that every year thousands of individuals who value their life die needlessly. This is an unacceptable loss of human life. Saving life is one of the most wonderful things an individual can do for another. Promoting any strategy that will assist in saving life and preventing human suffering within acceptable moral limits is legitimate. (shrink)

It is an increasingly popular view among philosophers that moral responsibility can, in principle, be attributed to unconscious autonomous agents. This trend is already remarkable in itself, but it is even more interesting that most proponents of this view provide more or less the same argument to support their position. I argue that as it stands, the Extension Argument, as I call it, is not sufficient to establish the thesis that unconscious autonomous agents can be morally (...) responsible. I attempt to show that the Extension Argument should overcome especially strong ethical considerations; moreover, its epistemological grounds are not too solid, partly because the justifications of its premises are in conflict. (shrink)

The phenomenological goal of grounding the content of conceptual thought in the background understanding of everyday, skillful coping was approached using evolutionary autonomous agent methodology. The behavior of an EAA evolved to perform a specified motor task was identified with skillful coping. Changes in the dynamics of the EAA controller occurred when the EAA encountered an unexpected obstacle with loss of longer time scale components in its hierarchical temporal organization. These temporal changes are consistent with the phenomenological changes which (...) we experience with breakdown during equipment use with our adoption of a more immediate, determinate stance. Since this latter experience is the basis of conceptual thought, the EAA paradigm goes some way in providing a naturalized explanation for the grounding of the content of conceptual thought in everyday, skillful coping in a manner that is physiologically plausible and phenomenologically accurate. (shrink)

Alfred Mele’s Autonomous Agents offers a penetrating treatment of autonomy. Understood as an actual condition of self-rule, autonomy is nested within the range of freedom concepts often associated with discussions of moral responsibility. In part 1 of his two-part Autonomous Agents, Mele attempts to capture autonomy by exploring the upper reaches of self-control, where self-control is understood as the opposite of akrasia, that is, weakness of will. It is Mele’s contention that even an optimally self-controlled agent (...) could fall short of autonomy. What, he asks, can be added to an ideally self-controlled agent to provide conditions sufficient for autonomous agency? In part 2, Mele offers not one answer but two. He offers first an account that would satisfy a compatibilist, and then one that would meet the further demands of an incompatibilist. Mele himself remains agnostic as regards the debate between compatibilists and incompatibilists. He does, however, shape novel accounts of each by exploiting the resources that, he argues, are needed to move past self-control to autonomy. He closes by arguing that we have better reason to believe that there are autonomous agents than we do to believe that there are none. (shrink)

Information and representation are thought to be intimately related. Representation, in fact, is commonly considered to be a special kind of information. It must be a _special_ kind, because otherwise all of the myriad instances of informational relationships in the universe would be representational -- some restrictions must be placed on informational relationships in order to refine the vast set into those that are truly representational. I will argue that information in this general sense is important to genuine agents, (...) but that it is a blind alley with regard to the attempt to understand representation. On the other hand, I will also argue that a different, quite non-standard, form of information is central to genuine representation. First I turn to some of the reasons why information as usually considered is the wrong category for understanding representation; second to an alternative model of representation -- one that is naturally emergent in autonomous agents, and that does involve information, but not in any standard form; and third I return to standard notions of informational relationships and show what they are in fact useful for. (shrink)

Cognitive science's basic premises are under attack. In particular, its focus on internal cognitive processes is a target. Intelligence is increasingly interpreted, not as a matter of reclusive thought, but as successful agent-environment interaction. The critics claim that a major reorientation of the field is necessary. However, this will only occur when there is a distinct alternative conceptual framework to replace the old one. Whether or not a serious alternative is provided is not clear. Among the critics there is some (...) consensus, however, that this role could be fulfilled by the concept of a 'behavioral system'. This integrates agent and environment into one encompassing general system. We will discuss two contexts in which the behavioral systems idea is being developed. Autonomous Agents Research is the enterprise of building behavior-based robots. Dynamical Systems Theory provides a mathematical framework well suited for describing the interactions between complex systems. We will conclude that both enterprises provide important contributions to the behavioral systems idea. But neither turns it into a full conceptual alternative which will initiate a major paradigm switch in cognitive science. The concept will need a lot of fleshing out before it can assume that role. (shrink)

A body schema is an agent's model of its own body that enables it to act on affordances in the environment. This paper presents a body schema system for the Learning Intelligent Decision Agent (LIDA) cognitive architecture. LIDA is a conceptual and computational implementation of Global Workspace Theory, also integrating other theories from neuroscience and psychology. This paper contends that the ‘body schema' should be split into three separate functions based on the functional role of consciousness in Global Workspace Theory. (...) There is (1) an online model of the agent's effectors and effector variables (Current Body Schema), (2) a long-term, recognitional storage of embodied capacities for action and affordances (Habitual Body Schema), and (3) "dorsal" stream information feeding directly from early perception to sensorimotor processes (Online Body Schema). This paper then discusses how the LIDA model of the body schema explains several experiments in psychology and ethology. (shrink)

Mele questions whether being a self-controlled person is also sufficient for personal autonomy. He constructs an ideally self-controlled person and argues that such a person may lack autonomy in certain ways. The task, then, is to determine what needs to be added to the ideally self-controlled person in order to make him autonomous. Throughout the book, Mele is concerned with responding to objections from both compatibilist and incompatibilist philosophers.

Mele endeavors to analyze autonomy, understood as an actual condition of self-governance, in two stages. An account of ideally self-controlled agents is developed first. This account is then supplemented with features sufficient for individual autonomy.

World War II research into cryptography and computing produced methods, instruments and research communities that informed early research into artificial intelligence and semi-autonomous computing. Alan Turing and Claude Shannon in particular adapted this research into early theories and demonstrations of AI based on computers’ abilities to track, predict and compete with opponents. This formed a loosely bound collection of techniques, paradigms, and practices I call crypto-intelligence. Subsequent researchers such as Joseph Weizenbaum adapted crypto-intelligence but also reproduced aspects of its (...) antagonistic precepts. This was particularly true in the design and testing of chat bots. Here the ability to trick, fool, and deceive human and machine opponents was a premium, and practices of agent abuse were admired and rewarded. Recognizing the historical genesis of this particular variety of abuse can help researchers develop less antagonistic methodologies. (shrink)

World War II research into cryptography and computing produced methods, instruments and research communities that informed early research into artificial intelligence and semi-autonomous computing. Alan Turing and Claude Shannon in particular adapted this research into early theories and demonstrations of AI based on computers’ abilities to track, predict and compete with opponents. This formed a loosely bound collection of techniques, paradigms, and practices I call crypto-intelligence. Subsequent researchers such as Joseph Weizenbaum adapted crypto-intelligence but also reproduced aspects of its (...) antagonistic precepts. This was particularly true in the design and testing of chat bots. Here the ability to trick, fool, and deceive human and machine opponents was a premium, and practices of agent abuse were admired and rewarded. Recognizing the historical genesis of this particular variety of abuse can help researchers develop less antagonistic methodologies. (shrink)

In this article, I consider several different ways of unpacking the metaphor of self-authorship, asking what an author might be and how authorship thus understood might be related to personal autonomy. First, I consider authors as makers or creators in a generic sense. Next, I consider authors as a particular sort of creator (the creator of a text), and, finally, authors as an interpretive construct implied by a text. Ultimately, I argue that we both construct ourselves as authors and take (...) responsibility for our self-constructs through narrative self-interpretation. Importantly, however, narrative self-interpretation is not simply a process of individual self-narration. Given the limitations placed on the autobiographical perspective by our temporal and subjective locations and the intersection of any one person's story with the stories of others, I argue that both autonomy and autobiography are best understood as relational. (shrink)

The positive qualities of the Internet--anonymity, openness, and reproducibility have added a new ethical dimension to the privacy debate. This paper describes a new and significant way in which privacy is violated. A type of personal information, called ‘virtual information’ is described and the effectiveness of techniques to protect this type of information is examined. This examination includes a discussion of technical approaches and professional standards as ways to address this violation of ‘virtual information.’.

We present a logic-based formalism for modeling ofdialogues between intelligent and autonomous software agents,building on a theory of abstract dialogue games which we present.The formalism enables representation of complex dialogues assequences of moves in a combination of dialogue games, and allowsdialogues to be embedded inside one another. The formalism iscomputational and its modular nature enables different types ofdialogues to be represented.

This volume focuses on the modeling of cognition, and brings together contributions from psychologists and researchers in the field of cognitive science.

This article argues that it is possible to hold autonomous agents themselves, and not only their makers, users or owners, responsible for the acts of these agents. In this connection autonomous systems are computer programs that interact with the outside world without human interference. They include such systems as ‘intelligent’ weapons and self-driving cars. The argument is based on an analogy between human beings and autonomous agents and its main element asserts that if humans (...) can be held responsible, so can, in principle, autonomous agents, as humans are more like autonomous agents than is often assumed. (shrink)

A socio-cognitive approach to trust can help us envisage a notion of networked trust for multi-agent systems (MAS) based on different interacting agents. In this framework, the issue is to evaluate whether or not a socio-cognitive analysis of trust can apply to the interactions between human and autonomous agents. Two main arguments support two alternative hypothesis; one suggests that only reliance applies to artificial agents, because predictability of agents’ digital interaction is viewed as an absolute (...) value and human relation is judged to be a necessary requirement for trust. The other suggests that trust may apply to autonomous agents because predictability of agents’ interaction is viewed only as a relative value since the digital normativity that grows out of the communication process between interacting agents in MAS has always deal with some unpredictable outcomes (_reduction of uncertainty_). Furthermore, human touch is not judged to be a necessary requirement for trust. In this perspective, a diverse notion of trust is elaborated, as trust is no longer conceived only as a relation between interacting agents but, rather, as a relation between cognitive states of control and lack of control (_double bind_). (shrink)

With recent advancements in systems engineering and artificial intelligence, autonomous agents are increasingly being called upon to execute tasks that have normative relevance. These are tasks that directly—and potentially adversely—affect human well-being and demand of the agent a degree of normative-sensitivity and -compliance. Such norms and normative principles are typically of a social, legal, ethical, empathetic, or cultural nature. Whereas norms of this type are often framed in the abstract, or as high-level principles, addressing normative concerns in concrete (...) applications of autonomous agents requires the refinement of normative principles into explicitly formulated practical rules. This paper develops a process for deriving specification rules from a set of high-level norms, thereby bridging the gap between normative principles and operational practice. This enables autonomous agents to select and execute the most normatively favourable action in the intended context premised on a range of underlying relevant normative principles. In the translation and reduction of normative principles to SLEEC rules, we present an iterative process that uncovers normative principles, addresses SLEEC concerns, identifies and resolves SLEEC conflicts, and generates both preliminary and complex normatively-relevant rules, thereby guiding the development of autonomous agents and better positioning them as normatively SLEEC-sensitive or SLEEC-compliant. (shrink)

With recent advancements in systems engineering and artificial intelligence, autonomous agents are increasingly being called upon to execute tasks that have normative relevance. These are tasks that directly—and potentially adversely—affect human well-being and demand of the agent a degree of normative-sensitivity and -compliance. Such norms and normative principles are typically of a social, legal, ethical, empathetic, or cultural (‘SLEEC’) nature. Whereas norms of this type are often framed in the abstract, or as high-level principles, addressing normative concerns in (...) concrete applications of autonomous agents requires the refinement of normative principles into explicitly formulated practical rules. This paper develops a process for deriving specification rules from a set of high-level norms, thereby bridging the gap between normative principles and operational practice. This enables autonomous agents to select and execute the most normatively favourable action in the intended context premised on a range of underlying relevant normative principles. In the translation and reduction of normative principles to SLEEC rules, we present an iterative process that uncovers normative principles, addresses SLEEC concerns, identifies and resolves SLEEC conflicts, and generates both preliminary and complex normatively-relevant rules, thereby guiding the development of autonomous agents and better positioning them as normatively SLEEC-sensitive or SLEEC-compliant. (shrink)

The positive qualities of the Internet--anonymity, openness, and reproducibility have added a new ethical dimension to the privacy debate. This paper describes a new and significant way in which privacy is violated. A type of personal information, called virtual information is described and the effectiveness of techniques to protect this type of information is examined. This examination includes a discussion of technical approaches and professional standards as ways to address this violation of virtual information.

Computational approaches based on autonomous agents share with new ape language research the same principles of dynamical system paradigms. A recent model for the evolution of symbolization and language in autonomous agents is briefly described in order to highlight the similarities between these two methodologies. The additional benefits of autonomous agent modeling in the field of language origin research are highlighted.

This paper investigates decision-theoretic planning in sophisticated autonomous agents operating in environments of real-world complexity. An example might be a planetary rover exploring a largely unknown planet. It is argued th a t existing algorithms for decision-theoretic planning are based on a logically incorrect theory of rational decision making. Plans cannot be evaluated directly in terms of their expected values, because plans can be of different scopes, and they can interact with other previously adopted plans. Furthermore, in the (...) real world, the search for optimal plans is completely intractable. An alternative theory of rational decision making is proposed, called “locally global planning”. (shrink)

Across various fields it is argued that the self in part consists of an autobiographical self-narrative and that the self-narrative has an impact on agential behavior. Similarly, within action theory, it is claimed that the intentional structure of coherent long-term action is divided into a hierarchy of distal, proximal, and motor intentions. However, the concrete mechanisms for how narratives and distal intentions are generated and impact action is rarely fleshed out concretely. We here demonstrate how narratives and distal intentions can (...) be generated within cognitive agents and how they can impact agential behavior over long time scales. We integrate narratives and distal intentions into the LIDA model,and demonstrate how they can guide agential action in a manner that is consistent with the Global Workspace Theory of consciousness. This paper serves both as an addition to the LIDA cognitive architecture and an elucidation of how narratives and distal intention emerge and play their role in cognition and action. (shrink)

This paper addresses the logical foundations of goal-regression planning in autonomous rational agents. It focuses mainly on three problems. The first is that goals and subgoals will often be conjunctions, and to apply goal-regression planning to a conjunction we usually have to plan separately for the conjuncts and then combine the resulting subplans. A logical problem arises from the fact that the subplans may destructively interfere with each other. This problem has been partially solved in the AI literature (...) (e.g., in SNLP and UCPOP), but the solutions proposed there work only when a restrictive assumption is satisfied. This assumption pertains to the computability of threats. It is argued that this assumption may fail for an autonomous rational agent operating in a complex environment. Relaxing this assumption leads to a theory of defeasible planning. The theory is formulated precisely and an implementation in the OSCAR architecture is discussed. (shrink)

Decision-theoretic planning is normally based on the assumption that plans can be compared by comparing their expected-values, and the objective is to find an optimal plan. This is typically defended by reference to classical decision theory. However, classical decision theory is actually incompatible with this “simple plan-based decision theory”. A defense of plan-based decision theory must begin by showing that classical decision theory is incorrect insofar as the two theories conflict, so this paper begins by raising objections to classical decision (...) theory. First, there is a discussion of the considerations arising out of the Newcomb problem that have given rise to causal decision theory. Next, counterexamples are constructed for classical decision theory turning on the fact that an agent may be unable to perform an action, and may even be unable to try to perform an action. A proposal is made for how to repair classical decision theory in light of these counterexamples. But then turning to the concept of an “alternative” that is presupposed by classical decision theory, it is argued that actions must often be chosen in groups rather than individually, i.e., the objects of rational choice are plans. It is argued that optimality cannot be defined for plans, and even if it could be, it would not be reasonable to require rational agents to find optimal plans. So simple plan-based decision theory must also be rejected. An alternative called “locally global planning” is proposed as a replacement for both classical decision theory and simple plan-based decision theory. (shrink)