New Orleans: best food city in the nation

Not news to us. Check out Saveur‘s NOLA recipe listing.

Among American cities, New Orleans is almost unique in its passion for tradition and its success in preserving its deeply rooted dining culture

Michael Oakeshott, The Philosopher Ploughman

At last, a good photograph of the poor portrait at Caius. Graham, the author of this piece in History Today, I know had been frustrated by the reflecting glass. Not a great painting: glad we didn’t use it for the Companion.  Given the dearth of Oakeshott images, no doubt this one will be over used. It’s unfortunate that Oakeshott was lumbered with the Artist in Residence at Caius (1983-84). The artist doesn’t have a shot of this on his website – now I can see why. As someone put it to me so well:

Yes, I have seen Paul Gopal-Chowdhury’s Caius portrait of MO, in the flesh, here in Cambridge. It’s awful, and would seriously put off potential buyers. MO didn’t like it at all, and I think that wasn’t just vanity. It’s done in a smeary sub-modernist style, and is ridiculously portentous, with, if I remember rightly, the aged MO in profile sitting at a table and staring glumly at a potted plant, possibly watching it grow.

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Emergence in stigmergic and complex adaptive systems: A formal discrete event systems perspective

Some extracts from Saurabh Mittal’s paper.

A natural system is not a monolithic system but a heterogeneous system made up of disparity and dissimilarity, devoid of any larger goal. The system just “is.” Examples of such systems include ant colonies, the biosphere, the brain, the immune system, the biological cell, businesses, communities, social systems, stock markets etc. Such systems are adaptable systems where emergence and self-organization are factors that aid evolution. These systems are classified as complex adaptive systems. According to Holland (2006, 1): “CAS are systems that have a large number of components, often called agents that interact and adapt or learn.”

In this article, we investigate CAS by looking at the scale of components, interactions between the components, and emergent properties that are manifested by such CAS. We will attempt to understand some of the common underlying properties, address the adaptive nature of such complex systems and illustrate how resilience is an inherent property of CAS.

CAS is occasionally modeled by means of agent-based models and complex network-based models. Multi-agent systems (MAS) is the area of research that deals with such study. However, CAS is fundamentally different from MAS in portraying features like self-similarity (scale-free), complexity, emergence and self-organization that are at a level above the interacting agents. A CAS is a complex, scale-free collectivity of interacting adaptive agents, characterized by high degree of adaptive capacity, giving them resilience in the face of perturbation. Indeed, designing an artificial CAS requires formal attention to these specific features. We will address these features and the formalisms needed to model CAS.

The discipline of modeling originated to understand natural phenomena. By developing abstractions, we can manage the apparent complexity, reuse it and enable these complex phenomena in artificial systems to our advantage. The discipline of executing this model on a time base is “simulation.” The task of decoding the original structure from manifested behavior is the holy grail of the modeling and simulation (M & S) enterprise (Zeigler, Praehofer, & Kim, 2000). The need for M & S to make progress in understanding CAS has been well acknowledged by Holland (1992). The task is to understand the gamut of rules that exist within and without a component and understand how the component deals with such multidimensional rules in an interactive environment. M & S is the only way one can understand, mimic and recreate a natural system. Most artificially modeled systems that exhibit complex adaptive behavior are driven by multi-resolution bindings and interconnectivity at every level of system behavior. To understand life is to “model”; to adapt is to survive in an environment, where both survival and environment are loaded concepts based on the guiding discipline.

Complexity is a phenomenon that is multivariable and multi-dimensional in a space-time continuum. Therefore, what we need is a framework that helps develop system structure and behavior in an abstract manner and that is component oriented so that the system can define its interactions based on the composition of a multi-level environment.

Stigmergy, the study of indirect interaction between network components in a persistent environment, explains certain emergent properties of a system. The network components include both the environment and the agent and both are persistent, i.e. both are situated in a space-time continuum and have memory. We take Stigmergic systems to be a subset of CAS and argue that stigmergic behavior is an emergent phenomenon too. Ultimately, we are trying to get a handle on how to formalize the property of “emergence.”

Discrete event abstraction has been studied at length by Bernard Zeigler throughout his illustrious career and his pioneering work on Discrete Event Systems (DEVS) formalism in 1970s (Ziegler, 1976). As a student, his perspectives on CAS were influenced by Holland. Ziegler’s approach to CAS has been through the quantization of continuous phenomena and how quantization leads to abstraction. Any CAS must operate within the constraints imposed by space, time, and resources on its information processing (Pinker, 1997). Evidence from neuronal models and neuron processing architectures and from fast and frugal heuristics, provide further support to the centrality of discrete event abstraction in modeling CAS when the constraints of space, time and energy are taken into account. Zeigler stated that discrete event models are the right abstraction for capturing CAS structure and behavior (Zeigler, 2004). In this article, we take the discipline of modeling CAS forward, by looking at the emergence aspect of CAS. We introduce DEVS and demonstrate how recent extensions still fall a little short in modeling CAS.

We first focus on the study of network science and how scale-free networks are inherently important to study complex interactions and hierarchical systems. In Section 3 we look at various types of interactions in a complex network. Section 4 we address the concepts of emergence and self-organization in detail and examine how a complex dynamic network facilitates such behavior. Section 5, a slight digression, provides an overview of DEVS theory. We return to the subject of dynamism in a complex adaptive network in Section 6 and show how DEVS theory is positioned to give modeling and simulation support to the subject. We describe various existing formal DEVS extensions that help model various features of stigmergy, emergence and CAS. Finally, in Section 7, we present some conclusions and pointers for future research.

Complexity is a multifaceted topic and each complex system has its own properties. However, some of the properties like high interconnectedness, large number of components, and adaptive behavior are present in most natural complex systems. We looked at the mechanism behind interconnectedness using network science that describes many natural systems in the light of power laws and self-similar scale-free topologies. Such scale-free topologies bring their own inherent properties to the complex system such that the entire system is subjected to the network’s structural and functional affordances.

It is largely unknown what makes a network evolve into a scale-free network, whether it is a top-down goal-driven phenomena or bottom-up causation or just an outcome of natural interactions. Two conditions have to be present for a network to evolve into a scale-free network: 1. incremental growth and 2. preferential attachment. We explored the notions of scale-free nature, strong and weak emergence, self-organization and stigmergic behavior in a complex adaptive system with persistent agents and persistent environment. We also related the concept of emergence to network science and presented arguments on how hubs and connectors are formed when a complex system is going through a critical phase. We argued that under any occurrence of both self-organized and emergent behavior together, the properties of scale-free network exist and one has to look at right level of abstraction in a multi-level system to witness the instance based interactions. We established that stigmergy displays strong emergence and is a specialized case of CAS. We also enumerated 18 properties of a CAS, 11 of which were properties of stigmergic systems.

We presented a high level view of DEVS theory and how its formal rigor is able to specify complex hierarchical systems. We described variants of dynamic structure and multi-level DEVS, and mapped it to some of the identified properties of CAS and stigmergy. We detailed the adaptive nature of complex system with DEVS Level of system specification and what it means to have dynamic adaptive behavior at different levels of a system. During the mapping process, we found that the following capabilities warrant formal attention to extend DEVS theory of complex systems to a theory of complex adaptive systems:

  1. How clusters are formed, hubs appear and evolve.
  2. How multi-level self-organization occurs.
  3. How strong emergence results in self-organization with an embedded observer capable of causal behavior at lower levels of hierarchy.
  4. How formal attention to coupling specification may provide additional abstraction mechanisms to model dynamic interconnected environment.

Finally, we recommended the augmentation of as the foundation for Stigmergic-DEVS, and investigation of both and ML-DEVS augmented together as a foundation for CAS-DEVS.

The Lil Band O Gold Plays “Fats”

I’m surprised by the lack of press for this lovely record which I could only get as an import from OZ. Here are a couple of very warm reviews, again both from OZ:

Beat Mag

FasterLouder

To put it mildly this is a group many people want to play and sing with. Besides the talent, they bring a joy that comes across in spades live and you can sense it even within these recordings.

Lil Band O’ Gold should be selling millions of records and playing to thousands of people on any night they grace the stage. These songs bring home the joy and wealth of talent that Fats Domino gave us and there’s no one better to make these songs new again but this roster of artists.

Hayek’s Self-Organizing Mental Order and Folk-Psychological Theories of the Mind

The intro and conclusion to Chiara’s chapter:

Humans are social creatures and they deeply rely on mentalizing, which aims at understanding other people behaviors and formulating expectations about their future actions. The existence of inner mental states has been postulated to give an explanatory account of the observed behaviors of other individuals. In particular, the activation of theory of mind in social situations has been demonstrated by neuroeconomic and behavioral experiments such as: processes of market exchange and specialization of labor (Coricelli, McCabe, & Smith, 2000), decision-making involving strategic uncertainty, detection of social cheaters and, in general, cooperative games in which subjects need to predict their opponents’ strategies; these are all situations in which theory of mind1 is activated. Historically, two different models of mental processes have been considered in the literature about folk psychology: theory-theory and simulation-theory. Theory-theory posits that subjects who are attributing to others a particular mental state are applying a tacit piece of knowledge previously acquired ‘‘about what people feel, think, want, etc in given circumstances and how they will, therefore, act’’ (Perner, Gschaider, Kuhberger, & Schrofner, 1999). They basically own ‘‘folk theories’’ about others’ mental states and implicit causal laws about how the mind works. On the contrary, simulation theory posits that, in attributing mental states, subjects are not possessing tacitly codified knowledge, but they are rather running a simulation ‘‘putting themselves in others’ shoes.’’ Simulating means using one’s own mind as a model for other people’s mental states, while being unaware of this activity. Simulation directly bridges perception and action (Decety & Grezes, 2006). Hayek had already envisioned this relationship between sensory and motor activity (Hayek, 1952, p. 92) but he dwells more on a neuronal level explanation than a mental one.

Notwithstanding this historical opposition between theory and simulation, an approach that highlights their intermingling contributions and crossfertilizations has nowadays been favored (Goldman, 2006). This is the reason why, after introducing a brief sketch of these two positions, the paper focuses then on theory of mind broadly speaking as the capacity to share psychological states with others: this is the social cognitive capacity making humans collaborative and cooperative, able to be engaged in mutual coordinated actions and plans (Tomasello, 2005). Humans, as social actors, have to possess a cognitive machinery that makes them able to coordinate. This chapter investigates whether theory of mind can provide a plausible explanation, at the mind level, of the tacitly triggered process of knowledge coordination elaborated by Hayek. More specifically, does Hayek’s concept of coordinating and self-organizing orders imply a model of the mind that can be framed as the current philosophical concept of theory of mind? In particular, we address the question whether theory of mind can give an account of that ‘‘inter-personal’’ understanding of other people’s mental states that Hayek sketches without developing it in details (Hayek, 1952, p. 23).

The chapter is then structured as follow: second section frames the concept of mentalizing as it has been historically developed in theory-theory and simulation-theory; third section presents Hayek’s philosophical psychology, identifying specific issues to integrate the latter with modern theory of mind; it explains the roles of communication between individuals and the process of knowledge formation in Hayek’s view, trying to address the question why Hayek’s philosophical psychology does not properly consider the concept of ‘‘theory of mind.’’ Fourth section concludes with further ideas of comparison, presenting the concept of ‘‘social mind’’ from a neuroscientific perspective, considering the idea of mirror neurons.

Philosophical and experimental research in psychology has been centered on the social nature of the mind for the past 20 years. Imitation is an important aspect of social learning, even at the mental level: mental mimicry (Gallese & Goldman, 1998) is based on the capacity to imitate other people’s mental states and has been defined as a process of isomorphism between states of mind of different persons, according to which two persons feel the same state of mind just seeing the other person in a particular situation or understanding the other person’s mental state. A particular case of isomorphism is represented by empathy: this is an automatic process triggered by an affective state, elicited by the observation or imagination of another individual’s affective state. Empathy has been associated with both epistemological and social roles (De Vignemont & Singer, 2006): it provides knowledge of the environment around us, connecting emotional stimuli coming from the external environment, ‘‘their situative context’’ (ibid., p. 440), and the relationship between the empathizer and the target. Empathy has therefore a vivid social dimension.

Moreover, empathy has been advocated as one of the explanatory devices of altruistic and pro-social behaviors specific of human nature: justice and cooperation (Boyd & Richerson, 2006; Hoffman, 2000; Hume, 1739).

From a neuroscientific perspective, the ‘‘empathic’’ nature of the brain has been demonstrated by the existence of mirror neurons; in the second half of the Nineties a particular scientific discovery has been made in the macaque monkeys’ brain: mirror neurons (Gallese, Fatiga, Fogassi, & Rizzolatti, 1996; Rizzolatti, Fatiga, Gallese, & Fogassi, 1996). These are visuomotors neuronal cells that fire both during the individual execution of a goal-directed action and the observation of the same action in a target individuals. They are located in the so called area F5 of the brain that belongs to the ventral premotor cortex, and they are fundamental in developing a ‘‘motor-theory of social cognition’’ (Gallese, Keysers & Rizzolatti, 2004) since they completely change the philosophical basis of actions understanding: this means that with mirror neurons a direct link between ‘‘first and third person experience’’ (ibid., p. 396) is possible. Bridging first and third person, in particular, means connecting the ‘‘I do and I feel’’ experience with ‘‘he does and he feels’’ experience. This can occur, not on the basis of the visual representation and interpretation performed by a central system, but by the ‘‘penetration’’ of information related to the target into the neural system and knowledge of the observer, who is empathizing. The fact that the action perceived and registered by the mirror system is goal-directed is fundamental. In fact, in the original experiment on macaque monkeys (Umilta` et al., 2001), the mirror system is activated only when an action is explicitly directed towards an object: for instance, mirror neurons are firing both when the monkey is grasping an object and both when the monkey is looking at the experimenter grasping the same object. This happens in both a full vision and hidden conditions, that is, when both the object is present in the spatial vision of the animal and when it has been hidden beyond a sliding screen, but after being present. In contrast, mirror neurons do not fire when the object is not present from the beginning, and the grasping movement is directed toward nothing in particular. In this case, neither the full vision nor the hidden treatments are characterized by mirror neurons activation. This occurs because the action is perceived as not being goal-oriented.

More recent studies have shown that mirror neurons are present in human brain as well and that, moreover, they fire in response to a wider range of actions than the monkey system (Gallese et al., 2004). In particular, mirror neurons fire in humans in the case of facial expression recognition, because the observer tends to share the emotional and affective state of the target, demonstrating its understanding. Recognizing the powerful implications that the discovery of a mirror system in humans triggers, Gallese et al. (2004) propose a ‘‘unifying theory of social cognition’’ that is able to make sense of both first-person and third-person recognition and understanding of emotions and actions, both individually performed and observed in others: the understanding of social cognition implies a bridge ‘‘between others and ourselves’’ (Gallese et al., 2004, p. 400). Hayek himself highlights the relationship between perception and action developed by the mental order: in his opinion, the sensory representations of the environment are associated with a possible goal to be pursued in that environment through a movement pattern that will make the achievement of that goal possible. This process determines particular responses, suggesting possible corrections to be taken in the movement patterns if the first ones are not particularly successful. Hayek describes motor responses as directly belonging to the act of perception since they ‘‘serve for the proper evaluation of the stimulus’’ (Hayek, 1952, p. 92). The interaction between exteroceptive and proprioceptive impulses and the consequent feedbacks generate the processes of adaptation of the organism to the external environment, which are of particular significance for the elaboration of subjective knowledge. Hayek develops therefore a fundamental and modern theory about the mental order and its relationships with the physical and neuronal order, presenting in his ‘‘central thesis’’ the role of subjective knowledge created through a process of internal reconstruction and classification of external stimuli. It is precisely in connection with this specific point that the role of folk psychology may find its fruitful application in Hayek’s theory: folk psychology is the conceptual common sense framework that socialized subjects employ to interpret, understand and predict other subjects’ mental states and behaviors. Hayek believes that the fundamental operation that human mind can accomplish is classification. Beyond classification, we believe that mentalizing should be taken into consideration in order to give an account of the interpersonal and social dimensions of human life and human mind. In particular, of special interest for us, was to present an overview of current approaches in philosophy of mind, so to understand how the idea of folk psychology can be used as a tool to bridge Hayek’s theory of mental order toward an inter-personal conception of the mind, which Hayek himself seems to support, although never developing it in details.

Confederacy of Dunces: BBC programme

The documentary featuring Toole’s excellent biographer is no longer available via the BBC but is now available on Cory MacLauchlin’s website.

Nozick interview

It’s rather surprising that one can’t find any video or audio of Nozick. I did however come across this frank interview given towards the end of his life.

The Moral Philosophy of T.H. Green

It’s been some 25 years since my chum Geoff Thomas’ book was published. It holds the unusual distinction of being one of the very few Phds to be recommended to the OUP committee to publish as a book and it stands the test of time. The recommendation came from none other than Tony Quinton.

Examining Thomas Hill Green’s moral philosophy, Thomas defends a radically new perception of Green as an independent thinker rather than a devoted partisan of Kant or Hegel. Green’s moral philosophy, argues Thomas, includes a widely misunderstood defense of free will, an innovative model of deliberation that rejects both Kantian and Humean conceptions of practical reason, a barely recognized theory of character, and an account of moral objectivity that involves no dependence on religion–all of which yield a coherent body of moral philosophy that raises important problems neglected in contemporary ethics.