Cristiano Castelfranchi

We present an analysis of emotional experience in terms of beliefs and desires viewed as its minimal cognitive constituents. We argue that families of emotions can be identified because their members share some of these constituents. To document this claim, we analyze one family of emotions—which includes the feeling of inferiority, admiration, envy, and jealousy—trying to show that the distinctiveness of each emotion is due to the specific compound of beliefs and desires it implies, whereas the kinship among related emotions is due to their sharing of cognitive or motivational components. Finally, we address the gestalt problem, that is, the question of how it is possible that emotions, although consisting of several “atomic” elements, are felt as unitary experiences.

In this paper we analyse the concepts of Promise and Threat and their inter-relations. Our objective is to study the uses of P and T in persuasion and to shed some light on related concepts such as requesting, ordering, giving prizes, punishing, etc. First, we show that some Ps and Ts are used for persuasion and some are conditional in nature. Using general definitions of P and T and a broad notion of persuasion, four different typologies of P and T are introduced. They are distinguished on their conditional/non-conditional dimension and on their influencing/non-influencing aim. We then focus on Conditional Influencing Ps and Ts used in persuasion. CIPs and CITs are incentive-based influencing actions rooted on dependence and power relations. Moreover, in the CIP and CIT classes the concepts of threat and promise are closely connected: the CIP is always accompanied by a CIT, and vice versa. Next, we discuss the issue of why CIPs and CITs are credible. We also identify — beyond their surface, rhetorical form — a deeper difference: a ‘substantial’ threat consisting in a choice between two losses compared with a ‘substantial’ promise where the choice is between a gain and a missed-gain. In the article we present a pre-formal model as a basis for a computational treatment of these concepts.

Open peer commentary on the target article “How and Why the Brain Lays the Foundations for a Conscious Self” by Martin V. Butz. Excerpt: One intriguing concept that the author introduces and uses throughout the paper is the idea of an “anticipatory drive,” which is described as explaining the systematic tendency to develop anticipatory capabilities that ultimately support goal-oriented action. Although the idea of a common mechanism that explains a multitude of capabilities can be appreciated, it is unclear if the author uses the term “drive” in a literal or metaphorical sense. Should the evolutionary advantage, the selective “pressure” for anticipatory capacities and representation be considered a drive in the sense of Hull like, for example, the sex drive, or hunger? If this is true, it should be related to some bodily control structure like the other mentioned drives. Another possibility is that the anticipatory drive is an intrinsic motivation, like curiosity, which “pushes” towards certain situations, such as those that are more predictable. If this is true, it should be explained what is the exact nature of such intrinsic motivation.

This work provides an analysis of the basic cognitive components of envy. In particular, the roles played by the envious party's social comparison with, and ill will against, the better off are emphasised. The ill will component is characterised by the envier's ultimate goal or wish that the envied suffer some harm, and is distinguished from resentment and sense of injustice, which have often been considered part of envy. The reprehensible nature of envy is discussed, and traced back to the analysis of its components. Finally, we explore both points of overlap and distinguishing features between envy and other emotions such as jealousy or emulation, and make a few general remarks, pointing to the necessity of overcoming conceptual looseness in the notion of envy.

In lieu of an abstract, here is a brief excerpt of the content:Commentary on “Towards a Design-Based Analysis of Emotional Episodes”Cristiano Castelfranchi (bio) and Maria Miceli (bio)Keywordsgrief, suffering, attachment, agent architectureThis paper is significant in many respects: its approach (the design-based analysis); its proposed architecture; its description of grief; and its self-control/perturbance theory. We would offer some remarks on each of these aspects.AI: Back to the FutureAfter some years of crisis, AI seems now to have recovered its original challenging attitude and its identity. In particular all the original ambitions of AI have been renewed under the label of “autonomous agents” (see, for example, Russell and Norvig 1995; Wooldridge and Jennings 1995). This paper and its authors are good representatives of this challenging attitude. Of course, the AI appearing at century’s end is different from, say, the AI of the 1980s. AI systems and models are now conceived for reasoning and acting in open unpredictable worlds, with limited and uncertain knowledge, in real time, with bounded (both cognitive and material) resources, with hybrid architectures, interfering—either co-operatively or competitively—with other systems. The new password for the AI of the 1990s is interaction (Bobrow 1991): interaction with an evolving environment; among several, distributed and heterogeneous artificial systems in a network; with human users; and among humans through computers.This renewed AI, however different though it is in some ways, can be understood as returning to its original aim of modeling “intelligence”: not only static and isolated sub-functions of intelligence but the integrated and pragmatic functioning of autonomous agent architectures as against algorithms. Our renewed AI, based on architectures, can again have important exchanges with other (psychological and social) sciences. This paper is a good example of the fruitful cross-fertilization of ideas which may result from such exchanges. It was indeed just this which originally gave rise to cognitive science.The ArchitectureThe proposed architecture, although quite speculative, and—as the authors themselves emphasize—very much a first sketch, is directly relevant to this new AI. In fact, recent research efforts in the agent-architecture domain are focused exactly on the problem of “goal dynamics” [End Page 129] or “motive processing,” which is the core of this architecture, and on the problem of integrating reactivity and deliberation. Compared with current AI architectures (for example, BDI systems) it is important to note that this “motive-processing” architecture is not yet formalized or implemented to the same extent. On the other hand, it is more interesting from a psychological point of view, and is already able to give us some important insights into human emotions, in particular those emotions (like grief) that involve all or total loss of control of management processes.The Report-Based Analysis of GriefThe report-based description of grief provides a persuasive and rich basis for both modeling and discussing the model. The relevant features of this emotion are well characterized with reference to the self-control problem and motive-processing (though, as we shall see, to use grief as an example of those emotions that involve all or total loss of control of thought processes may provide a partially distorted view of grief itself). In particular, we would stress the relevance of the “intrusive” character of grief-related contents; the rejection of certain beliefs due to the psychic pain they cause; the coping strategies people describe; and the second order motivations related to the control of the emotional state. We believe that psychological models especially of these aspects are usually less specific and explanatory.Let us now try to synthesize some criticisms one could advance of this analysis. We will first address two core notions of the model—perturbance and self-control—and then consider more specifically the treatment of grief.PerturbanceThis notion is potentially very interesting, unless it is reduced to an information processing perspective (e.g., perturbance of attentive processes). An information processing perspective is much more limited than a motive-processing one—at least in the limitative sense of the term, as it is generally used in the psychology of cognitive processes—and is in our view insufficient for understanding human emotions and their role. This limiting interpretation of perturbance fails...

The general aim of this work is to show the importance of the adressee's mind as planned by the author of a speech act or of a norm; in particular, how important are the expected motivations for goal adoption. We show that speech acts differ from one another for the different motivations the speaker is attempting to obtain from the hearer. The description of the participants' social positions is not sufficient. Important conflicts can arise which are not relative to what to do, but to the different motives requested by the speaker. This view is applied to norms, pointing out that what is required by a norm is not only a behaviour but also a mental attitude, and that the prescribed mind might be even more important than the prescribed behaviour. Norms don't want just behavioural conformity, but also that this conformity implies an acknowledgement and a reinforcement of both the authority and the norm itself. Norms ask for submission. Any form of norm is aimed at influencing the addressee by changing his or her mind.

In this paper, the current AI view that emergent functionalities apply only to the study of subcognitive agents is questioned; a hypercognitive view of autonomous agents as proposed in some AI subareas is also rejected. As an alternative view, a unified theory of social interaction is proposed which allows for the consideration of both cognitive and extracognitive social relations. A notion of functional effect is proposed, and the application of a formal model of cooperation is illustrated. Functional cooperation shows the role of extracognitive phenomena in the interaction of intelligent agents, thus representing a typical example of emergent functionality.

This paper outlines an integrated approach to trust and relevance with respect to arguments: in particular, it is suggested that trust in relevance has a central role in argumentation. We first distinguish two types of argumentative relevance: internal relevance, i.e. the extent to which a premise has a bearing on its purported conclusion, and external relevance, i.e. a measure of how much a whole argument is pertinent to the matter under discussion, in the broader dialogical context where it is proposed. Then, we argue that judgements of internal relevance heavily rely on trust, and that such trust, although occasionally misplaced , is nonetheless based on several reasons, and thus often justified, by either epistemic or pragmatic considerations. We conclude by sketching potential methods to formally model trust in argumentative relevance, and briefly discussing the technological implications of this line of research

This work aims to identify the constituents of forgiveness in terms of the forgiver's beliefs and motivating goals. After addressing the antecedents of forgiveness—a perceived wrong—and distinguishing the notion of mere harm from that of offense, we describe the victim's typical retributive reactions—revenge and resentment—and discuss their advantages and disadvantages. Then we focus on the forgiver's mind-set, pointing to the relationship between forgiveness and acceptance of the wrong, addressing the forgiver's motivating goals, and discussing both their self-interested and altruistic implications. In so doing we also discuss the role of the forgiver's positive feelings towards the offender, arguing that, however important, they are unnecessary to forgiveness. We finally identify two kinds of forgiveness—conditional and unconditional—suggesting that they are grounded on different notions of “worth.”

In the decision-making and rationality research field, rational decision theory (RDT) has always been the main framework, thanks to the elegance and complexity of its mathematical tools. Unfortunately, the formal refinement of the theory is not accompanied by a satisfying predictive accuracy, thus there is a big gap between what is predicted by the theory and the behaviour of real subjects. Here we propose a new foundation of the RDT, which has to be based on a cognitive architecture for reason-based agents, acting on the basis of their beliefs in order to achieve their goals. The decision process is a cognitive evaluation of conflicting goals, based on different beliefs and values, but also on emotions and desires. We refer to a cognitive analysis of emotions and we integrate them in this more general RDT.

Our focus is the dialectic relationship between personal, social, collective, and institutional powers; that is the Proteus-like nature of power; “how power produces power”, how one form of power founds another form of it. Even the magic, “count as”, performative power of institutional acts is given from the institution to the lay-agent, but hidden is given to the institution by the acceptance and conformity of the mass of people. We provide an ‘ontology’ of personal powers, deriving from them (plus the interdependencies relations) the most important forms of power at the interpersonal level (‘comparative power’, ‘power-over’, rewarding power’, ‘power of influencing’, ‘negotiation power’, ‘collective power’, ‘deontic power’). In the second part, we discuss a more institutional notion of power, the process of ‘empowerment’ and its relation with ‘permission’.

This paper presents a systematic analysis of the various steps of goal-processing and intention creation, as the final outcome of goal-driven action generation. Intention theory has to be founded on goal theory: intentions require means-end reasoning and planning, conflict resolution, coherence. The process of intention formation and intentional action execution is strictly based on specific sets of beliefs (predictions, evaluations, calculation of costs, responsibility beliefs, competence, etc.). The origin of an intention is not necessarily a “desire” (which is just a kind of goal). Intention is a two-layered goal-structure: the intended action(s) to be executed, and the intended outcome motivating that action—with two distinct kinds of “failure”. This belief-goal perspective also allows to examine two stages/types of intention, and the relations and differences between intention “in agenda” (future directed) and intention under execution (intention in action). I will argue that the will is much more than the intention driving an intentional action. I will also claim that intentions are not there just for motivating and regulating intentional actions (from the motor level to more complex behaviors), but that they play also several other important roles.

The aim of this paper is to clarify what kind of normativity characterizes a convention. First, we argue that conventions have normative consequences because they always involve a form of trust and reliance. We contend that it is by reference to a moral principle impinging on these aspects (i.e. the principle of Reliability) that interpersonal obligations and rights originate from conventional regularities. Second, we argue that the system of mutual expectations presupposed by conventions is a source of agreements. Agreements stemming from conventions are “tacit” in the sense that they are implicated by what agents do (or forbear from doing) and without that any communication between them is necessary. To justify this conclusion, we assume that: (1) there is a salient interpretation, in some contexts, of everyone’s silence as confirmatory of the others’ expectations (an epistemic assumption), and (2) the participating agents share a value of not being motivated by hostile attitudes (a motivational assumption). By clarifying the relation between conventions and agreements, the peculiar normativity of conventions is analyzed

In H-C interaction, computer supported cooperation andorganisation, computer mediated commerce, intelligentdata bases, teams of robots. etc. there will bepurposively deceiving computers. In particular, withinthe Agent-based paradigm we will have ``deceivingagents''''. Several kinds of deception will be present ininteraction with the user, or among people viacomputer, or among artificial agents not only formalicious reasons (war, commerce, fraud, etc.) butalso for goodwill and in our interest. Social control,trust, and moral aspects in artificial societies willbe the focus of theoretical worm as well as ofimplementation. Is there any special affinity betweenAI and deception?

This paper provides an analysis of the cognitive processes implied in the ego defense known as projection. Projection is first placed in the context of the general cognitive processes of attribution and ascription. Then we address defensive projection, and identify its distinctive features. In particular, whereas general projection consists in the ascription of one's own mental attitudes to others, defensive projection implies one's rejection of the ascribed mental states, and ascription is a means for supporting this rejection. We try to understand how and why ascription is functional to rejection. Then, we examine a few types of defensive projection, and identify the main components and steps in the projective process. Finally, we draw some general conclusions

We argue in favor of the adaptive value of acceptance and that it deserves a definite status within the 'positive paradigm'. Acceptance currently suffers from ambiguous connotations because of its lack of optimistic biases and its similarity to resignation. We endeavor to show that acceptance and resignation are distinct attitudes by exploring their relationships with various phenomena-frustration, disappointment, expectation, positive thinking, replanning, and accuracy. The resulting distinguishing features of acceptance-thriving versus returning to baseline; realistic optimism versus hopelessness; persistence and flexible replanning versus disengagement-are crucial for adaptive coping, and appear to be in keeping with the positive paradigm.

In this paper, a model of norms as cognitive objects is applied to establish connections between social conventions and prescriptions. Relevant literature on this issue, especially found in AI and the social sciences, will be shown to suffer from a dychotomic view: a conventionalistic view proposed by rationality and AI scientists; and a prescriptive view proposed by some philosophers of law (Kelsen 1934/1979, Hart 1961, Ross, 1958).In the present work, the attempt is made to fill the gap between these views by putting forward a hypothesis concerning the process from perceived behavioural regularities to normative assumptions. The emergence of norms will be here seen as intrinsically intertwined with the emergence of normative beliefs. Unlike that assumed by the conventionalistic sight, the process of emergence is seen as a non-continuous phenomenon. A given behavioural regularity will be argued to give rise to a normative belief if and as long as that regularity is believed to be prescribed within the community. Two corollaries of this hypothesis will be examined: (1) unlike that implied by the conventionalistic view, the spreading of norms is not only due to a passive behavioural social influence (imitation) but also to an active cognitive one (the spreading of normative wants and beliefs); (2) unlike that assumed by the prescriptive view, a norm is not necessarily explicitly and deliberately issued by some normative authority, but is grounded upon the norm-addressees' beliefs that they are generally prescribed to comply with it.

This paper offers a conceptual framework which (re)integrates goal-directed control, motivational processes, and executive functions, and suggests a developmentalpathway from situated action to higher level cognition. We first illustrate a basic computational (control-theoretic) model of goal-directed action that makes use of internalmodeling. We then show that by adding the problem of selection among multiple actionalternatives motivation enters the scene, and that the basic mechanisms of executivefunctions such as inhibition, the monitoring of progresses, and working memory, arerequired for this system to work. Further, we elaborate on the idea that the off-line re-enactment of anticipatory mechanisms used for action control gives rise to (embodied)mental simulations, and propose that thinking consists essentially in controlling mental simulations rather than directly controlling behavior and perceptions. We concludeby sketching an evolutionary perspective of this process, proposing that anticipationleveraged cognition, and by highlighting specific predictions of our model.